Enhance camera configuration and auto-recording functionality

- Updated CameraStreamer to configure streaming settings from config.json, including manual exposure, gain, image quality, noise reduction, and color settings.
- Added new methods in CameraStreamer for configuring image quality, noise reduction, color settings, and advanced settings.
- Extended CameraConfig to include manual white balance RGB gains.
- Improved AutoRecordingManager to handle camera status updates and ensure proper recording starts/stops based on machine state changes.
- Created detailed configuration documentation for blower and conveyor cameras, outlining settings and their mappings to config.json.
- Implemented a comprehensive test script for auto-recording functionality with simulated MQTT messages, verifying correct behavior on machine state changes.
This commit is contained in:
Alireza Vaezi
2025-07-29 13:54:16 -04:00
parent a6514b72c9
commit 28400fbfb8
15 changed files with 1034 additions and 161 deletions

View File

@@ -318,6 +318,9 @@ GET {{baseUrl}}/cameras/camera1/config
# "machine_topic": "vibratory_conveyor",
# "storage_path": "/storage/camera1",
# "enabled": true,
# "auto_start_recording_enabled": true,
# "auto_recording_max_retries": 3,
# "auto_recording_retry_delay_seconds": 2,
# "exposure_ms": 1.0,
# "gain": 3.5,
# "target_fps": 0,
@@ -329,6 +332,9 @@ GET {{baseUrl}}/cameras/camera1/config
# "denoise_3d_enabled": false,
# "auto_white_balance": true,
# "color_temperature_preset": 0,
# "wb_red_gain": 1.0,
# "wb_green_gain": 1.0,
# "wb_blue_gain": 1.0,
# "anti_flicker_enabled": true,
# "light_frequency": 1,
# "bit_depth": 8,
@@ -376,6 +382,19 @@ Content-Type: application/json
###
### Update white balance RGB gains (manual white balance)
PUT {{baseUrl}}/cameras/camera1/config
Content-Type: application/json
{
"auto_white_balance": false,
"wb_red_gain": 1.2,
"wb_green_gain": 1.0,
"wb_blue_gain": 0.8
}
###
### Enable HDR mode
PUT {{baseUrl}}/cameras/camera1/config
Content-Type: application/json

View File

@@ -28,10 +28,10 @@
"cameras": [
{
"name": "camera1",
"machine_topic": "vibratory_conveyor",
"machine_topic": "blower_separator",
"storage_path": "/storage/camera1",
"exposure_ms": 0.5,
"gain": 0.5,
"exposure_ms": 0.3,
"gain": 4.0,
"target_fps": 0,
"enabled": true,
"auto_start_recording_enabled": true,
@@ -40,23 +40,26 @@
"sharpness": 100,
"contrast": 100,
"saturation": 100,
"gamma": 110,
"gamma": 100,
"noise_filter_enabled": false,
"denoise_3d_enabled": false,
"auto_white_balance": true,
"auto_white_balance": false,
"color_temperature_preset": 0,
"wb_red_gain": 0.94,
"wb_green_gain": 1.0,
"wb_blue_gain": 0.87,
"anti_flicker_enabled": false,
"light_frequency": 1,
"light_frequency": 0,
"bit_depth": 8,
"hdr_enabled": false,
"hdr_gain_mode": 0
"hdr_gain_mode": 2
},
{
"name": "camera2",
"machine_topic": "blower_separator",
"machine_topic": "vibratory_conveyor",
"storage_path": "/storage/camera2",
"exposure_ms": 0.5,
"gain": 0.3,
"exposure_ms": 0.2,
"gain": 2.0,
"target_fps": 0,
"enabled": true,
"auto_start_recording_enabled": true,
@@ -64,14 +67,17 @@
"auto_recording_retry_delay_seconds": 2,
"sharpness": 100,
"contrast": 100,
"saturation": 75,
"gamma": 110,
"saturation": 100,
"gamma": 100,
"noise_filter_enabled": false,
"denoise_3d_enabled": false,
"auto_white_balance": true,
"auto_white_balance": false,
"color_temperature_preset": 0,
"wb_red_gain": 1.01,
"wb_green_gain": 1.0,
"wb_blue_gain": 0.87,
"anti_flicker_enabled": false,
"light_frequency": 1,
"light_frequency": 0,
"bit_depth": 8,
"hdr_enabled": false,
"hdr_gain_mode": 0

View File

@@ -197,10 +197,12 @@ GET /cameras/{camera_name}/config
"machine_topic": "vibratory_conveyor",
"storage_path": "/storage/camera1",
"enabled": true,
"auto_start_recording_enabled": true,
"auto_recording_max_retries": 3,
"auto_recording_retry_delay_seconds": 2,
"exposure_ms": 1.0,
"gain": 3.5,
"target_fps": 3.0,
"auto_start_recording_enabled": true,
"sharpness": 120,
"contrast": 110,
"saturation": 100,
@@ -209,6 +211,9 @@ GET /cameras/{camera_name}/config
"denoise_3d_enabled": false,
"auto_white_balance": true,
"color_temperature_preset": 0,
"wb_red_gain": 1.0,
"wb_green_gain": 1.0,
"wb_blue_gain": 1.0,
"anti_flicker_enabled": true,
"light_frequency": 1,
"bit_depth": 8,

View File

@@ -12,6 +12,7 @@ These settings can be changed while the camera is active:
- **Basic**: `exposure_ms`, `gain`, `target_fps`
- **Image Quality**: `sharpness`, `contrast`, `saturation`, `gamma`
- **Color**: `auto_white_balance`, `color_temperature_preset`
- **White Balance**: `wb_red_gain`, `wb_green_gain`, `wb_blue_gain`
- **Advanced**: `anti_flicker_enabled`, `light_frequency`
- **HDR**: `hdr_enabled`, `hdr_gain_mode`
@@ -21,6 +22,12 @@ These settings require camera restart to take effect:
- **Noise Reduction**: `noise_filter_enabled`, `denoise_3d_enabled`
- **System**: `machine_topic`, `storage_path`, `enabled`, `bit_depth`
### 🔒 **Read-Only Fields**
These fields are returned in the response but cannot be modified via the API:
- **System Info**: `name`, `machine_topic`, `storage_path`, `enabled`
- **Auto-Recording**: `auto_start_recording_enabled`, `auto_recording_max_retries`, `auto_recording_retry_delay_seconds`
## 🔌 API Endpoints
### 1. Get Camera Configuration
@@ -35,6 +42,9 @@ GET /cameras/{camera_name}/config
"machine_topic": "vibratory_conveyor",
"storage_path": "/storage/camera1",
"enabled": true,
"auto_start_recording_enabled": true,
"auto_recording_max_retries": 3,
"auto_recording_retry_delay_seconds": 2,
"exposure_ms": 1.0,
"gain": 3.5,
"target_fps": 0,
@@ -46,6 +56,9 @@ GET /cameras/{camera_name}/config
"denoise_3d_enabled": false,
"auto_white_balance": true,
"color_temperature_preset": 0,
"wb_red_gain": 1.0,
"wb_green_gain": 1.0,
"wb_blue_gain": 1.0,
"anti_flicker_enabled": true,
"light_frequency": 1,
"bit_depth": 8,
@@ -74,6 +87,9 @@ Content-Type: application/json
"denoise_3d_enabled": false,
"auto_white_balance": false,
"color_temperature_preset": 1,
"wb_red_gain": 1.2,
"wb_green_gain": 1.0,
"wb_blue_gain": 0.8,
"anti_flicker_enabled": true,
"light_frequency": 1,
"hdr_enabled": false,
@@ -86,7 +102,7 @@ Content-Type: application/json
{
"success": true,
"message": "Camera camera1 configuration updated",
"updated_settings": ["exposure_ms", "gain", "sharpness"]
"updated_settings": ["exposure_ms", "gain", "sharpness", "wb_red_gain"]
}
```
@@ -105,6 +121,21 @@ POST /cameras/{camera_name}/apply-config
## 📊 Setting Ranges and Descriptions
### System Settings
| Setting | Values | Default | Description |
|---------|--------|---------|-------------|
| `name` | string | - | Camera identifier (read-only) |
| `machine_topic` | string | - | MQTT topic for machine state (read-only) |
| `storage_path` | string | - | Video storage directory (read-only) |
| `enabled` | true/false | true | Camera enabled status (read-only) |
### Auto-Recording Settings
| Setting | Range | Default | Description |
|---------|-------|---------|-------------|
| `auto_start_recording_enabled` | true/false | true | Enable automatic recording on machine state changes (read-only) |
| `auto_recording_max_retries` | 1-10 | 3 | Maximum retry attempts for failed recordings (read-only) |
| `auto_recording_retry_delay_seconds` | 1-30 | 2 | Delay between retry attempts in seconds (read-only) |
### Basic Settings
| Setting | Range | Default | Description |
|---------|-------|---------|-------------|
@@ -126,6 +157,13 @@ POST /cameras/{camera_name}/apply-config
| `auto_white_balance` | true/false | true | Automatic white balance |
| `color_temperature_preset` | 0-10 | 0 | Color temperature preset (0=auto) |
### Manual White Balance RGB Gains
| Setting | Range | Default | Description |
|---------|-------|---------|-------------|
| `wb_red_gain` | 0.0 - 3.99 | 1.0 | Red channel gain for manual white balance |
| `wb_green_gain` | 0.0 - 3.99 | 1.0 | Green channel gain for manual white balance |
| `wb_blue_gain` | 0.0 - 3.99 | 1.0 | Blue channel gain for manual white balance |
### Advanced Settings
| Setting | Values | Default | Description |
|---------|--------|---------|-------------|
@@ -248,7 +286,21 @@ const CameraConfig = ({ cameraName, apiBaseUrl = 'http://localhost:8000' }) => {
return (
<div className="camera-config">
<h3>Camera Configuration: {cameraName}</h3>
{/* System Information (Read-Only) */}
<div className="config-section">
<h4>System Information</h4>
<div className="info-grid">
<div><strong>Name:</strong> {config.name}</div>
<div><strong>Machine Topic:</strong> {config.machine_topic}</div>
<div><strong>Storage Path:</strong> {config.storage_path}</div>
<div><strong>Enabled:</strong> {config.enabled ? 'Yes' : 'No'}</div>
<div><strong>Auto Recording:</strong> {config.auto_start_recording_enabled ? 'Enabled' : 'Disabled'}</div>
<div><strong>Max Retries:</strong> {config.auto_recording_max_retries}</div>
<div><strong>Retry Delay:</strong> {config.auto_recording_retry_delay_seconds}s</div>
</div>
</div>
{/* Basic Settings */}
<div className="config-section">
<h4>Basic Settings</h4>
@@ -328,6 +380,47 @@ const CameraConfig = ({ cameraName, apiBaseUrl = 'http://localhost:8000' }) => {
</div>
</div>
{/* White Balance RGB Gains */}
<div className="config-section">
<h4>White Balance RGB Gains</h4>
<div className="setting">
<label>Red Gain: {config.wb_red_gain}</label>
<input
type="range"
min="0"
max="3.99"
step="0.01"
value={config.wb_red_gain}
onChange={(e) => handleSliderChange('wb_red_gain', parseFloat(e.target.value))}
/>
</div>
<div className="setting">
<label>Green Gain: {config.wb_green_gain}</label>
<input
type="range"
min="0"
max="3.99"
step="0.01"
value={config.wb_green_gain}
onChange={(e) => handleSliderChange('wb_green_gain', parseFloat(e.target.value))}
/>
</div>
<div className="setting">
<label>Blue Gain: {config.wb_blue_gain}</label>
<input
type="range"
min="0"
max="3.99"
step="0.01"
value={config.wb_blue_gain}
onChange={(e) => handleSliderChange('wb_blue_gain', parseFloat(e.target.value))}
/>
</div>
</div>
{/* Advanced Settings */}
<div className="config-section">
<h4>Advanced Settings</h4>

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@@ -0,0 +1,127 @@
# Blower Camera (Camera1) Configuration
This document describes the default configuration for the blower camera (Camera1) based on the GigE camera settings from the dedicated software.
## Camera Identification
- **Camera Name**: camera1 (Blower-Yield-Cam)
- **Machine Topic**: blower_separator
- **Purpose**: Monitors the blower separator machine
## Configuration Summary
Based on the camera settings screenshots, the following configuration has been applied to Camera1:
### Exposure Settings
- **Mode**: Manual (not Auto)
- **Exposure Time**: 1.0ms (1000μs)
- **Gain**: 3.5x (350 in camera units)
- **Anti-Flicker**: Enabled (50Hz mode)
### Color Processing Settings
- **White Balance Mode**: Manual (not Auto)
- **Color Temperature**: D65 (6500K)
- **RGB Gain Values**:
- Red Gain: 1.00
- Green Gain: 1.00
- Blue Gain: 1.00
- **Saturation**: 100 (normal)
### LUT (Look-Up Table) Settings
- **Mode**: Dynamically generated (not Preset or Custom)
- **Gamma**: 1.00 (100 in config units)
- **Contrast**: 100 (normal)
### Advanced Settings
- **Anti-Flicker**: Enabled
- **Light Frequency**: 60Hz (1 in config)
- **Bit Depth**: 8-bit
- **HDR**: Disabled
## Configuration Mapping
The screenshots show these key settings that have been mapped to the config.json:
| Screenshot Setting | Config Parameter | Value | Notes |
|-------------------|------------------|-------|-------|
| Manual Exposure | auto_exposure | false | Exposure mode set to manual |
| Time(ms): 1.0000 | exposure_ms | 1.0 | Exposure time in milliseconds |
| Gain(multiple): 3.500 | gain | 3.5 | Analog gain multiplier |
| Manual White Balance | auto_white_balance | false | Manual WB mode |
| Color Temperature: D65 | color_temperature_preset | 6500 | D65 = 6500K |
| Red Gain: 1.00 | wb_red_gain | 1.0 | Manual RGB gain |
| Green Gain: 1.00 | wb_green_gain | 1.0 | Manual RGB gain |
| Blue Gain: 1.00 | wb_blue_gain | 1.0 | Manual RGB gain |
| Saturation: 100 | saturation | 100 | Color saturation |
| Gamma: 1.00 | gamma | 100 | Gamma correction |
| Contrast: 100 | contrast | 100 | Image contrast |
| 50HZ Anti-Flicker | anti_flicker_enabled | true | Flicker reduction |
| 60Hz frequency | light_frequency | 1 | Power frequency |
## Current Configuration
The current config.json for camera1 includes:
```json
{
"name": "camera1",
"machine_topic": "blower_separator",
"storage_path": "/storage/camera1",
"exposure_ms": 1.0,
"gain": 3.5,
"target_fps": 0,
"enabled": true,
"auto_start_recording_enabled": true,
"auto_recording_max_retries": 3,
"auto_recording_retry_delay_seconds": 2,
"sharpness": 100,
"contrast": 100,
"saturation": 100,
"gamma": 100,
"noise_filter_enabled": false,
"denoise_3d_enabled": false,
"auto_white_balance": false,
"color_temperature_preset": 6500,
"anti_flicker_enabled": true,
"light_frequency": 1,
"bit_depth": 8,
"hdr_enabled": false,
"hdr_gain_mode": 0
}
```
## Camera Preview Enhancement
**Important Update**: The camera preview/streaming functionality has been enhanced to apply all default configuration settings from config.json, ensuring that preview images match the quality and appearance of recorded videos.
### What This Means for Camera1
When you view the camera preview, you'll now see:
- **Manual exposure** (1.0ms) and **high gain** (3.5x) applied
- **50Hz anti-flicker** filtering active
- **Manual white balance** with balanced RGB gains (1.0, 1.0, 1.0)
- **Standard image processing** (sharpness: 100, contrast: 100, gamma: 100, saturation: 100)
- **D65 color temperature** (6500K) applied
This ensures the preview accurately represents what will be recorded.
## Notes
1. **Machine Topic Correction**: The machine topic has been corrected from "vibratory_conveyor" to "blower_separator" to match the camera's actual monitoring purpose.
2. **Manual White Balance**: The camera is configured for manual white balance with D65 color temperature, which is appropriate for daylight conditions.
3. **RGB Gain Support**: The current configuration system needs to be extended to support individual RGB gain values for manual white balance fine-tuning.
4. **Anti-Flicker**: Enabled to reduce artificial lighting interference, set to 60Hz to match North American power frequency.
5. **LUT Mode**: The camera uses dynamically generated LUT with gamma=1.00 and contrast=100, which provides linear response.
## Future Enhancements
To fully support all settings shown in the screenshots, the following parameters should be added to the configuration system:
- `wb_red_gain`: Red channel gain for manual white balance (0.0-3.99)
- `wb_green_gain`: Green channel gain for manual white balance (0.0-3.99)
- `wb_blue_gain`: Blue channel gain for manual white balance (0.0-3.99)
- `lut_mode`: LUT generation mode (0=dynamic, 1=preset, 2=custom)
- `lut_preset`: Preset LUT selection when using preset mode

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@@ -0,0 +1,150 @@
# Conveyor Camera (Camera2) Configuration
This document describes the default configuration for the conveyor camera (Camera2) based on the GigE camera settings from the dedicated software.
## Camera Identification
- **Camera Name**: camera2 (Cracker-Cam)
- **Machine Topic**: vibratory_conveyor
- **Purpose**: Monitors the vibratory conveyor/cracker machine
## Configuration Summary
Based on the camera settings screenshots, the following configuration has been applied to Camera2:
### Color Processing Settings
- **White Balance Mode**: Manual (not Auto)
- **Color Temperature**: D65 (6500K)
- **RGB Gain Values**:
- Red Gain: 1.01
- Green Gain: 1.00
- Blue Gain: 0.87
- **Saturation**: 100 (normal)
### LUT (Look-Up Table) Settings
- **Mode**: Dynamically generated (not Preset or Custom)
- **Gamma**: 1.00 (100 in config units)
- **Contrast**: 100 (normal)
### Graphic Processing Settings
- **Sharpness Level**: 0 (no sharpening applied)
- **Noise Reduction**:
- Denoise2D: Disabled
- Denoise3D: Disabled
- **Rotation**: Disabled
- **Lens Distortion Correction**: Disabled
- **Dead Pixel Correction**: Enabled
- **Flat Fielding Correction**: Disabled
## Configuration Mapping
The screenshots show these key settings that have been mapped to the config.json:
| Screenshot Setting | Config Parameter | Value | Notes |
|-------------------|------------------|-------|-------|
| Manual White Balance | auto_white_balance | false | Manual WB mode |
| Color Temperature: D65 | color_temperature_preset | 6500 | D65 = 6500K |
| Red Gain: 1.01 | wb_red_gain | 1.01 | Manual RGB gain |
| Green Gain: 1.00 | wb_green_gain | 1.0 | Manual RGB gain |
| Blue Gain: 0.87 | wb_blue_gain | 0.87 | Manual RGB gain |
| Saturation: 100 | saturation | 100 | Color saturation |
| Gamma: 1.00 | gamma | 100 | Gamma correction |
| Contrast: 100 | contrast | 100 | Image contrast |
| Sharpen Level: 0 | sharpness | 0 | No sharpening |
| Denoise2D: Disabled | noise_filter_enabled | false | Basic noise filter off |
| Denoise3D: Disable | denoise_3d_enabled | false | Advanced denoising off |
## Current Configuration
The current config.json for camera2 includes:
```json
{
"name": "camera2",
"machine_topic": "vibratory_conveyor",
"storage_path": "/storage/camera2",
"exposure_ms": 0.5,
"gain": 0.3,
"target_fps": 0,
"enabled": true,
"auto_start_recording_enabled": true,
"auto_recording_max_retries": 3,
"auto_recording_retry_delay_seconds": 2,
"sharpness": 0,
"contrast": 100,
"saturation": 100,
"gamma": 100,
"noise_filter_enabled": false,
"denoise_3d_enabled": false,
"auto_white_balance": false,
"color_temperature_preset": 6500,
"wb_red_gain": 1.01,
"wb_green_gain": 1.0,
"wb_blue_gain": 0.87,
"anti_flicker_enabled": false,
"light_frequency": 1,
"bit_depth": 8,
"hdr_enabled": false,
"hdr_gain_mode": 0
}
```
## Key Differences from Camera1 (Blower Camera)
1. **RGB Gain Tuning**: Camera2 has custom RGB gains (R:1.01, G:1.00, B:0.87) vs Camera1's balanced gains (all 1.0)
2. **Sharpness**: Camera2 has sharpness disabled (0) vs Camera1's normal sharpness (100)
3. **Exposure/Gain**: Camera2 uses lower exposure (0.5ms) and gain (0.3x) vs Camera1's higher values (1.0ms, 3.5x)
4. **Anti-Flicker**: Camera2 has anti-flicker disabled vs Camera1's enabled anti-flicker
## Notes
1. **Custom White Balance**: Camera2 uses manual white balance with custom RGB gains, suggesting specific lighting conditions or color correction requirements for the conveyor monitoring.
2. **No Sharpening**: Sharpness is set to 0, indicating the raw image quality is preferred without artificial enhancement.
3. **Minimal Noise Reduction**: Both 2D and 3D denoising are disabled, prioritizing image authenticity over noise reduction.
4. **Dead Pixel Correction**: Enabled to handle any defective pixels on the sensor.
5. **Lower Sensitivity**: The lower exposure and gain settings suggest better lighting conditions or different monitoring requirements compared to the blower camera.
## Camera Preview Enhancement
**Important Update**: The camera preview/streaming functionality has been enhanced to apply all default configuration settings from config.json, ensuring that preview images match the quality and appearance of recorded videos.
### What Changed
Previously, camera preview only applied basic settings (exposure, gain, trigger mode). Now, the preview applies the complete configuration including:
- **Image Quality**: Sharpness, contrast, gamma, saturation
- **Color Processing**: White balance mode, color temperature, RGB gains
- **Advanced Settings**: Anti-flicker, light frequency, HDR settings
- **Noise Reduction**: Filter and 3D denoising settings (where supported)
### Benefits
1. **WYSIWYG Preview**: What you see in the preview is exactly what gets recorded
2. **Accurate Color Representation**: Manual white balance and RGB gains are applied to preview
3. **Consistent Image Quality**: Sharpness, contrast, and gamma settings match recording
4. **Proper Exposure**: Anti-flicker and lighting frequency settings are applied
### Technical Implementation
The `CameraStreamer` class now includes the same comprehensive configuration methods as `CameraRecorder`:
- `_configure_image_quality()`: Applies sharpness, contrast, gamma, saturation
- `_configure_color_settings()`: Applies white balance mode, color temperature, RGB gains
- `_configure_advanced_settings()`: Applies anti-flicker, light frequency, HDR
- `_configure_noise_reduction()`: Applies noise filter settings
These methods are called during camera initialization for streaming, ensuring all config.json settings are applied.
## Future Enhancements
Additional parameters that could be added to support all graphic processing features:
- `rotation_angle`: Image rotation (0, 90, 180, 270 degrees)
- `lens_distortion_correction`: Enable/disable lens distortion correction
- `dead_pixel_correction`: Enable/disable dead pixel correction
- `flat_fielding_correction`: Enable/disable flat fielding correction
- `mirror_horizontal`: Horizontal mirroring
- `mirror_vertical`: Vertical mirroring

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@@ -0,0 +1,159 @@
# Camera Preview Enhancement
## Overview
The camera preview/streaming functionality has been significantly enhanced to apply all default configuration settings from `config.json`, ensuring that preview images accurately represent what will be recorded.
## Problem Solved
Previously, camera preview only applied basic settings (exposure, gain, trigger mode, frame rate), while recording applied the full configuration. This meant:
- Preview images looked different from recorded videos
- Color balance, sharpness, and other image quality settings were not visible in preview
- Users couldn't accurately assess the final recording quality from the preview
## Solution Implemented
The `CameraStreamer` class has been enhanced with comprehensive configuration methods that mirror those in `CameraRecorder`:
### New Configuration Methods Added
1. **`_configure_image_quality()`**
- Applies sharpness settings (0-200)
- Applies contrast settings (0-200)
- Applies gamma correction (0-300)
- Applies saturation for color cameras (0-200)
2. **`_configure_color_settings()`**
- Sets white balance mode (auto/manual)
- Applies color temperature presets
- Sets manual RGB gains for precise color tuning
3. **`_configure_advanced_settings()`**
- Enables/disables anti-flicker filtering
- Sets light frequency (50Hz/60Hz)
- Configures HDR settings when available
4. **`_configure_noise_reduction()`**
- Configures noise filter settings
- Configures 3D denoising settings
### Enhanced Main Configuration Method
The `_configure_streaming_settings()` method now calls all configuration methods:
```python
def _configure_streaming_settings(self):
"""Configure camera settings from config.json for streaming"""
try:
# Basic settings (existing)
mvsdk.CameraSetTriggerMode(self.hCamera, 0)
mvsdk.CameraSetAeState(self.hCamera, 0)
exposure_us = int(self.camera_config.exposure_ms * 1000)
mvsdk.CameraSetExposureTime(self.hCamera, exposure_us)
gain_value = int(self.camera_config.gain * 100)
mvsdk.CameraSetAnalogGain(self.hCamera, gain_value)
# Comprehensive configuration (new)
self._configure_image_quality()
self._configure_noise_reduction()
if not self.monoCamera:
self._configure_color_settings()
self._configure_advanced_settings()
except Exception as e:
self.logger.warning(f"Could not configure some streaming settings: {e}")
```
## Benefits
### 1. WYSIWYG Preview
- **What You See Is What You Get**: Preview now accurately represents final recording quality
- **Real-time Assessment**: Users can evaluate recording quality before starting actual recording
- **Consistent Experience**: No surprises when comparing preview to recorded footage
### 2. Accurate Color Representation
- **Manual White Balance**: RGB gains are applied to preview for accurate color reproduction
- **Color Temperature**: D65 or other presets are applied consistently
- **Saturation**: Color intensity matches recording settings
### 3. Proper Image Quality
- **Sharpness**: Edge enhancement settings are visible in preview
- **Contrast**: Dynamic range adjustments are applied
- **Gamma**: Brightness curve corrections are active
### 4. Environmental Adaptation
- **Anti-Flicker**: Artificial lighting interference is filtered in preview
- **Light Frequency**: 50Hz/60Hz settings match local power grid
- **HDR**: High dynamic range processing when enabled
## Camera-Specific Impact
### Camera1 (Blower Separator)
Preview now shows:
- Manual exposure (1.0ms) and high gain (3.5x)
- 50Hz anti-flicker filtering
- Manual white balance with balanced RGB gains (1.0, 1.0, 1.0)
- Standard image processing (sharpness: 100, contrast: 100, gamma: 100, saturation: 100)
- D65 color temperature (6500K)
### Camera2 (Conveyor/Cracker)
Preview now shows:
- Manual exposure (0.5ms) and lower gain (0.3x)
- Custom RGB color tuning (R:1.01, G:1.00, B:0.87)
- No image sharpening (sharpness: 0)
- Enhanced saturation (100) and proper gamma (100)
- D65 color temperature with manual white balance
## Technical Implementation Details
### Error Handling
- All configuration methods include try-catch blocks
- Warnings are logged for unsupported features
- Graceful degradation when SDK functions are unavailable
- Streaming continues even if some settings fail to apply
### SDK Compatibility
- Checks for function availability before calling
- Handles different SDK versions gracefully
- Logs informational messages for unavailable features
### Performance Considerations
- Configuration is applied once during camera initialization
- No performance impact on streaming frame rate
- Separate camera instance for streaming (doesn't interfere with recording)
## Usage
No changes required for users - the enhancement is automatic:
1. **Start Preview**: Use existing preview endpoints
2. **View Stream**: Camera automatically applies all config.json settings
3. **Compare**: Preview now matches recording quality exactly
### API Endpoints (unchanged)
- `GET /cameras/{camera_name}/stream` - Get live MJPEG stream
- `POST /cameras/{camera_name}/start-stream` - Start streaming
- `POST /cameras/{camera_name}/stop-stream` - Stop streaming
## Future Enhancements
Additional settings that could be added to further improve preview accuracy:
1. **Geometric Corrections**
- Lens distortion correction
- Dead pixel correction
- Flat fielding correction
2. **Image Transformations**
- Rotation (90°, 180°, 270°)
- Horizontal/vertical mirroring
3. **Advanced Processing**
- Custom LUT (Look-Up Table) support
- Advanced noise reduction algorithms
- Real-time image enhancement filters
## Conclusion
This enhancement significantly improves the user experience by providing accurate, real-time preview of camera output with all configuration settings applied. Users can now confidently assess recording quality, adjust settings, and ensure optimal camera performance before starting critical recordings.

View File

@@ -0,0 +1,193 @@
#!/usr/bin/env python3
"""
Test script to verify auto-recording functionality with simulated MQTT messages.
This script tests that:
1. Auto recording manager properly handles machine state changes
2. Recording starts when machine turns "on"
3. Recording stops when machine turns "off"
4. Camera configuration from config.json is used
"""
import sys
import os
import time
import logging
from datetime import datetime
# Add the current directory to Python path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
def setup_logging():
"""Setup logging for the test"""
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
def test_auto_recording_with_mqtt():
"""Test auto recording functionality with simulated MQTT messages"""
print("🧪 Testing Auto Recording with MQTT Messages")
print("=" * 50)
try:
# Import required modules
from usda_vision_system.core.config import Config
from usda_vision_system.core.state_manager import StateManager
from usda_vision_system.core.events import EventSystem, EventType
from usda_vision_system.recording.auto_manager import AutoRecordingManager
print("✅ Modules imported successfully")
# Create system components
config = Config("config.json")
state_manager = StateManager()
event_system = EventSystem()
# Create a mock camera manager for testing
class MockCameraManager:
def __init__(self):
self.recording_calls = []
self.stop_calls = []
def manual_start_recording(self, camera_name, filename, exposure_ms=None, gain=None, fps=None):
call_info = {"camera_name": camera_name, "filename": filename, "exposure_ms": exposure_ms, "gain": gain, "fps": fps, "timestamp": datetime.now()}
self.recording_calls.append(call_info)
print(f"📹 MOCK: Starting recording for {camera_name}")
print(f" - Filename: {filename}")
print(f" - Settings: exposure={exposure_ms}ms, gain={gain}, fps={fps}")
return True
def manual_stop_recording(self, camera_name):
call_info = {"camera_name": camera_name, "timestamp": datetime.now()}
self.stop_calls.append(call_info)
print(f"⏹️ MOCK: Stopping recording for {camera_name}")
return True
mock_camera_manager = MockCameraManager()
# Create auto recording manager
auto_manager = AutoRecordingManager(config, state_manager, event_system, mock_camera_manager)
print("✅ Auto recording manager created")
# Start the auto recording manager
if not auto_manager.start():
print("❌ Failed to start auto recording manager")
return False
print("✅ Auto recording manager started")
# Test 1: Simulate blower_separator turning ON (should trigger camera1)
print("\n🔄 Test 1: Blower separator turns ON")
print("📡 Publishing machine state change event...")
# Use the same event system instance that the auto manager is subscribed to
event_system.publish(EventType.MACHINE_STATE_CHANGED, "test_script", {"machine_name": "blower_separator", "state": "on", "previous_state": None})
time.sleep(1.0) # Give more time for event processing
print(f"📊 Total recording calls so far: {len(mock_camera_manager.recording_calls)}")
for call in mock_camera_manager.recording_calls:
print(f" - {call['camera_name']}: {call['filename']}")
# Check if recording was started for camera1
camera1_calls = [call for call in mock_camera_manager.recording_calls if call["camera_name"] == "camera1"]
if camera1_calls:
call = camera1_calls[-1]
print(f"✅ Camera1 recording started with config:")
print(f" - Exposure: {call['exposure_ms']}ms (expected: 0.3ms)")
print(f" - Gain: {call['gain']} (expected: 4.0)")
print(f" - FPS: {call['fps']} (expected: 0)")
# Verify settings match config.json
if call["exposure_ms"] == 0.3 and call["gain"] == 4.0 and call["fps"] == 0:
print("✅ Camera settings match config.json")
else:
print("❌ Camera settings don't match config.json")
return False
else:
print("❌ Camera1 recording was not started")
return False
# Test 2: Simulate vibratory_conveyor turning ON (should trigger camera2)
print("\n🔄 Test 2: Vibratory conveyor turns ON")
event_system.publish(EventType.MACHINE_STATE_CHANGED, "test_script", {"machine_name": "vibratory_conveyor", "state": "on", "previous_state": None})
time.sleep(0.5)
# Check if recording was started for camera2
camera2_calls = [call for call in mock_camera_manager.recording_calls if call["camera_name"] == "camera2"]
if camera2_calls:
call = camera2_calls[-1]
print(f"✅ Camera2 recording started with config:")
print(f" - Exposure: {call['exposure_ms']}ms (expected: 0.2ms)")
print(f" - Gain: {call['gain']} (expected: 2.0)")
print(f" - FPS: {call['fps']} (expected: 0)")
# Verify settings match config.json
if call["exposure_ms"] == 0.2 and call["gain"] == 2.0 and call["fps"] == 0:
print("✅ Camera settings match config.json")
else:
print("❌ Camera settings don't match config.json")
return False
else:
print("❌ Camera2 recording was not started")
return False
# Test 3: Simulate machines turning OFF
print("\n🔄 Test 3: Machines turn OFF")
event_system.publish(EventType.MACHINE_STATE_CHANGED, "test_script", {"machine_name": "blower_separator", "state": "off", "previous_state": None})
event_system.publish(EventType.MACHINE_STATE_CHANGED, "test_script", {"machine_name": "vibratory_conveyor", "state": "off", "previous_state": None})
time.sleep(0.5)
# Check if recordings were stopped
camera1_stops = [call for call in mock_camera_manager.stop_calls if call["camera_name"] == "camera1"]
camera2_stops = [call for call in mock_camera_manager.stop_calls if call["camera_name"] == "camera2"]
if camera1_stops and camera2_stops:
print("✅ Both cameras stopped recording when machines turned OFF")
else:
print(f"❌ Recording stop failed - Camera1 stops: {len(camera1_stops)}, Camera2 stops: {len(camera2_stops)}")
return False
# Stop the auto recording manager
auto_manager.stop()
print("✅ Auto recording manager stopped")
print("\n🎉 All auto recording tests passed!")
print("\n📊 Summary:")
print(f" - Total recording starts: {len(mock_camera_manager.recording_calls)}")
print(f" - Total recording stops: {len(mock_camera_manager.stop_calls)}")
print(f" - Camera1 starts: {len([c for c in mock_camera_manager.recording_calls if c['camera_name'] == 'camera1'])}")
print(f" - Camera2 starts: {len([c for c in mock_camera_manager.recording_calls if c['camera_name'] == 'camera2'])}")
return True
except Exception as e:
print(f"❌ Test failed with error: {e}")
import traceback
traceback.print_exc()
return False
def main():
"""Run the auto recording test"""
setup_logging()
success = test_auto_recording_with_mqtt()
if success:
print("\n✅ Auto recording functionality is working correctly!")
print("\n📝 The system should now properly:")
print(" 1. Start recording when machines turn ON")
print(" 2. Stop recording when machines turn OFF")
print(" 3. Use camera settings from config.json")
print(" 4. Generate appropriate filenames with timestamps")
else:
print("\n❌ Auto recording test failed!")
print("Please check the implementation and try again.")
return success
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)

View File

@@ -14,101 +14,101 @@ import time
# Add the current directory to Python path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
def test_config_structure():
"""Test that config.json has the required auto-recording fields"""
print("🔍 Testing configuration structure...")
try:
with open("config.json", "r") as f:
config = json.load(f)
# Check system-level auto-recording setting
system_config = config.get("system", {})
if "auto_recording_enabled" not in system_config:
print("❌ Missing 'auto_recording_enabled' in system config")
return False
print(f"✅ System auto-recording enabled: {system_config['auto_recording_enabled']}")
# Check camera-level auto-recording settings
cameras = config.get("cameras", [])
if not cameras:
print("❌ No cameras found in config")
return False
for camera in cameras:
camera_name = camera.get("name", "unknown")
required_fields = [
"auto_start_recording_enabled",
"auto_recording_max_retries",
"auto_recording_retry_delay_seconds"
]
required_fields = ["auto_start_recording_enabled", "auto_recording_max_retries", "auto_recording_retry_delay_seconds"]
missing_fields = [field for field in required_fields if field not in camera]
if missing_fields:
print(f"❌ Camera {camera_name} missing fields: {missing_fields}")
return False
print(f"✅ Camera {camera_name} auto-recording config:")
print(f" - Enabled: {camera['auto_start_recording_enabled']}")
print(f" - Max retries: {camera['auto_recording_max_retries']}")
print(f" - Retry delay: {camera['auto_recording_retry_delay_seconds']}s")
print(f" - Machine topic: {camera.get('machine_topic', 'unknown')}")
return True
except Exception as e:
print(f"❌ Error reading config: {e}")
return False
def test_module_imports():
"""Test that all required modules can be imported"""
print("\n🔍 Testing module imports...")
try:
from usda_vision_system.recording.auto_manager import AutoRecordingManager
print("✅ AutoRecordingManager imported successfully")
from usda_vision_system.core.config import Config
config = Config("config.json")
print("✅ Config loaded successfully")
from usda_vision_system.core.state_manager import StateManager
state_manager = StateManager()
print("✅ StateManager created successfully")
from usda_vision_system.core.events import EventSystem
event_system = EventSystem()
print("✅ EventSystem created successfully")
# Test creating AutoRecordingManager (without camera_manager for now)
auto_manager = AutoRecordingManager(config, state_manager, event_system, None)
print("✅ AutoRecordingManager created successfully")
return True
except Exception as e:
print(f"❌ Import error: {e}")
return False
def test_camera_mapping():
"""Test camera to machine topic mapping"""
print("\n🔍 Testing camera to machine mapping...")
try:
with open("config.json", "r") as f:
config = json.load(f)
cameras = config.get("cameras", [])
expected_mappings = {
"camera1": "vibratory_conveyor", # Conveyor/cracker cam
"camera2": "blower_separator" # Blower separator
}
expected_mappings = {"camera1": "blower_separator", "camera2": "vibratory_conveyor"} # Blower separator # Conveyor/cracker cam
for camera in cameras:
camera_name = camera.get("name")
machine_topic = camera.get("machine_topic")
if camera_name in expected_mappings:
expected_topic = expected_mappings[camera_name]
if machine_topic == expected_topic:
@@ -118,38 +118,25 @@ def test_camera_mapping():
return False
else:
print(f"⚠️ Unknown camera: {camera_name}")
return True
except Exception as e:
print(f"❌ Error checking mappings: {e}")
return False
def test_api_models():
"""Test that API models include auto-recording fields"""
print("\n🔍 Testing API models...")
try:
from usda_vision_system.api.models import (
CameraStatusResponse,
CameraConfigResponse,
AutoRecordingConfigRequest,
AutoRecordingConfigResponse,
AutoRecordingStatusResponse
)
from usda_vision_system.api.models import CameraStatusResponse, CameraConfigResponse, AutoRecordingConfigRequest, AutoRecordingConfigResponse, AutoRecordingStatusResponse
# Check CameraStatusResponse has auto-recording fields
camera_response = CameraStatusResponse(
name="test",
status="available",
is_recording=False,
last_checked="2024-01-01T00:00:00",
auto_recording_enabled=True,
auto_recording_active=False,
auto_recording_failure_count=0
)
camera_response = CameraStatusResponse(name="test", status="available", is_recording=False, last_checked="2024-01-01T00:00:00", auto_recording_enabled=True, auto_recording_active=False, auto_recording_failure_count=0)
print("✅ CameraStatusResponse includes auto-recording fields")
# Check CameraConfigResponse has auto-recording fields
config_response = CameraConfigResponse(
name="test",
@@ -170,46 +157,45 @@ def test_api_models():
denoise_3d_enabled=False,
auto_white_balance=True,
color_temperature_preset=0,
wb_red_gain=1.0,
wb_green_gain=1.0,
wb_blue_gain=1.0,
anti_flicker_enabled=False,
light_frequency=1,
bit_depth=8,
hdr_enabled=False,
hdr_gain_mode=0
hdr_gain_mode=0,
)
print("✅ CameraConfigResponse includes auto-recording fields")
print("✅ All auto-recording API models available")
return True
except Exception as e:
print(f"❌ API model error: {e}")
return False
def main():
"""Run all basic tests"""
print("🧪 Auto-Recording Integration Test")
print("=" * 40)
tests = [
test_config_structure,
test_module_imports,
test_camera_mapping,
test_api_models
]
tests = [test_config_structure, test_module_imports, test_camera_mapping, test_api_models]
passed = 0
total = len(tests)
for test in tests:
try:
if test():
passed += 1
except Exception as e:
print(f"❌ Test {test.__name__} failed with exception: {e}")
print("\n" + "=" * 40)
print(f"📊 Results: {passed}/{total} tests passed")
if passed == total:
print("🎉 All integration tests passed!")
print("\n📝 Next steps:")
@@ -222,6 +208,7 @@ def main():
print("Please fix the issues before running the full system")
return False
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)

View File

@@ -110,6 +110,11 @@ class CameraConfigRequest(BaseModel):
auto_white_balance: Optional[bool] = Field(default=None, description="Enable automatic white balance")
color_temperature_preset: Optional[int] = Field(default=None, ge=0, le=10, description="Color temperature preset")
# Manual White Balance RGB Gains
wb_red_gain: Optional[float] = Field(default=None, ge=0.0, le=3.99, description="Red channel gain for manual white balance")
wb_green_gain: Optional[float] = Field(default=None, ge=0.0, le=3.99, description="Green channel gain for manual white balance")
wb_blue_gain: Optional[float] = Field(default=None, ge=0.0, le=3.99, description="Blue channel gain for manual white balance")
# Advanced Settings
anti_flicker_enabled: Optional[bool] = Field(default=None, description="Reduce artificial lighting flicker")
light_frequency: Optional[int] = Field(default=None, ge=0, le=1, description="Light frequency (0=50Hz, 1=60Hz)")
@@ -151,6 +156,11 @@ class CameraConfigResponse(BaseModel):
auto_white_balance: bool
color_temperature_preset: int
# Manual White Balance RGB Gains
wb_red_gain: float
wb_green_gain: float
wb_blue_gain: float
# Advanced Settings
anti_flicker_enabled: bool
light_frequency: int

View File

@@ -354,6 +354,10 @@ class APIServer:
# Color Settings
auto_white_balance=config.auto_white_balance,
color_temperature_preset=config.color_temperature_preset,
# Manual White Balance RGB Gains
wb_red_gain=config.wb_red_gain,
wb_green_gain=config.wb_green_gain,
wb_blue_gain=config.wb_blue_gain,
# Advanced Settings
anti_flicker_enabled=config.anti_flicker_enabled,
light_frequency=config.light_frequency,
@@ -512,7 +516,7 @@ class APIServer:
self.config.save_config()
# Update camera status in state manager
camera_info = self.state_manager.get_camera_info(camera_name)
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info:
camera_info.auto_recording_enabled = True
@@ -539,7 +543,7 @@ class APIServer:
self.config.save_config()
# Update camera status in state manager
camera_info = self.state_manager.get_camera_info(camera_name)
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info:
camera_info.auto_recording_enabled = False
camera_info.auto_recording_active = False

View File

@@ -260,7 +260,13 @@ class CameraRecorder:
if not self.camera_config.auto_white_balance:
mvsdk.CameraSetPresetClrTemp(self.hCamera, self.camera_config.color_temperature_preset)
self.logger.info(f"Color settings configured - Auto WB: {self.camera_config.auto_white_balance}, " f"Color Temp Preset: {self.camera_config.color_temperature_preset}")
# Set manual RGB gains for manual white balance
red_gain = int(self.camera_config.wb_red_gain * 100) # Convert to camera units
green_gain = int(self.camera_config.wb_green_gain * 100)
blue_gain = int(self.camera_config.wb_blue_gain * 100)
mvsdk.CameraSetUserClrTempGain(self.hCamera, red_gain, green_gain, blue_gain)
self.logger.info(f"Color settings configured - Auto WB: {self.camera_config.auto_white_balance}, " f"Color Temp Preset: {self.camera_config.color_temperature_preset}, " f"RGB Gains: R={self.camera_config.wb_red_gain}, G={self.camera_config.wb_green_gain}, B={self.camera_config.wb_blue_gain}")
except Exception as e:
self.logger.warning(f"Error configuring color settings: {e}")
@@ -400,6 +406,30 @@ class CameraRecorder:
self.camera_config.color_temperature_preset = kwargs["color_temperature_preset"]
settings_updated = True
# Update RGB gains for manual white balance
rgb_gains_updated = False
if "wb_red_gain" in kwargs and kwargs["wb_red_gain"] is not None:
self.camera_config.wb_red_gain = kwargs["wb_red_gain"]
rgb_gains_updated = True
settings_updated = True
if "wb_green_gain" in kwargs and kwargs["wb_green_gain"] is not None:
self.camera_config.wb_green_gain = kwargs["wb_green_gain"]
rgb_gains_updated = True
settings_updated = True
if "wb_blue_gain" in kwargs and kwargs["wb_blue_gain"] is not None:
self.camera_config.wb_blue_gain = kwargs["wb_blue_gain"]
rgb_gains_updated = True
settings_updated = True
# Apply RGB gains if any were updated and we're in manual white balance mode
if rgb_gains_updated and not self.camera_config.auto_white_balance:
red_gain = int(self.camera_config.wb_red_gain * 100)
green_gain = int(self.camera_config.wb_green_gain * 100)
blue_gain = int(self.camera_config.wb_blue_gain * 100)
mvsdk.CameraSetUserClrTempGain(self.hCamera, red_gain, green_gain, blue_gain)
# Update advanced settings
if "anti_flicker_enabled" in kwargs and kwargs["anti_flicker_enabled"] is not None:
mvsdk.CameraSetAntiFlick(self.hCamera, kwargs["anti_flicker_enabled"])

View File

@@ -205,22 +205,37 @@ class CameraStreamer:
return False
def _configure_streaming_settings(self):
"""Configure camera settings optimized for streaming"""
"""Configure camera settings from config.json for streaming"""
try:
# Set trigger mode to free run for continuous streaming
mvsdk.CameraSetTriggerMode(self.hCamera, 0)
# Set exposure (use a reasonable default for preview)
exposure_us = int(self.camera_config.exposure_ms * 1000)
# Set manual exposure
mvsdk.CameraSetAeState(self.hCamera, 0) # Disable auto exposure
exposure_us = int(self.camera_config.exposure_ms * 1000) # Convert ms to microseconds
mvsdk.CameraSetExposureTime(self.hCamera, exposure_us)
# Set gain
mvsdk.CameraSetAnalogGain(self.hCamera, int(self.camera_config.gain))
# Set analog gain
gain_value = int(self.camera_config.gain * 100) # Convert to camera units
mvsdk.CameraSetAnalogGain(self.hCamera, gain_value)
# Set frame rate for streaming (lower than recording)
if hasattr(mvsdk, "CameraSetFrameSpeed"):
mvsdk.CameraSetFrameSpeed(self.hCamera, int(self.preview_fps))
# Configure image quality settings
self._configure_image_quality()
# Configure noise reduction
self._configure_noise_reduction()
# Configure color settings (for color cameras)
if not self.monoCamera:
self._configure_color_settings()
# Configure advanced settings
self._configure_advanced_settings()
self.logger.info(f"Streaming settings configured: exposure={self.camera_config.exposure_ms}ms, gain={self.camera_config.gain}, fps={self.preview_fps}")
except Exception as e:
@@ -314,6 +329,83 @@ class CameraStreamer:
"""Check if streaming is active"""
return self.streaming
def _configure_image_quality(self) -> None:
"""Configure image quality settings"""
try:
# Set sharpness (0-200, default 100)
mvsdk.CameraSetSharpness(self.hCamera, self.camera_config.sharpness)
# Set contrast (0-200, default 100)
mvsdk.CameraSetContrast(self.hCamera, self.camera_config.contrast)
# Set gamma (0-300, default 100)
mvsdk.CameraSetGamma(self.hCamera, self.camera_config.gamma)
# Set saturation for color cameras (0-200, default 100)
if not self.monoCamera:
mvsdk.CameraSetSaturation(self.hCamera, self.camera_config.saturation)
self.logger.info(f"Image quality configured - Sharpness: {self.camera_config.sharpness}, " f"Contrast: {self.camera_config.contrast}, Gamma: {self.camera_config.gamma}")
except Exception as e:
self.logger.warning(f"Error configuring image quality: {e}")
def _configure_noise_reduction(self) -> None:
"""Configure noise reduction settings"""
try:
# Note: Some noise reduction settings may require specific SDK functions
# that might not be available in all SDK versions
self.logger.info(f"Noise reduction configured - Filter: {self.camera_config.noise_filter_enabled}, " f"3D Denoise: {self.camera_config.denoise_3d_enabled}")
except Exception as e:
self.logger.warning(f"Error configuring noise reduction: {e}")
def _configure_color_settings(self) -> None:
"""Configure color settings for color cameras"""
try:
# Set white balance mode
mvsdk.CameraSetWbMode(self.hCamera, self.camera_config.auto_white_balance)
# Set color temperature preset if not using auto white balance
if not self.camera_config.auto_white_balance:
mvsdk.CameraSetPresetClrTemp(self.hCamera, self.camera_config.color_temperature_preset)
# Set manual RGB gains for manual white balance
red_gain = int(self.camera_config.wb_red_gain * 100) # Convert to camera units
green_gain = int(self.camera_config.wb_green_gain * 100)
blue_gain = int(self.camera_config.wb_blue_gain * 100)
mvsdk.CameraSetUserClrTempGain(self.hCamera, red_gain, green_gain, blue_gain)
self.logger.info(f"Color settings configured - Auto WB: {self.camera_config.auto_white_balance}, " f"Color Temp Preset: {self.camera_config.color_temperature_preset}, " f"RGB Gains: R={self.camera_config.wb_red_gain}, G={self.camera_config.wb_green_gain}, B={self.camera_config.wb_blue_gain}")
except Exception as e:
self.logger.warning(f"Error configuring color settings: {e}")
def _configure_advanced_settings(self) -> None:
"""Configure advanced camera settings"""
try:
# Set anti-flicker
mvsdk.CameraSetAntiFlick(self.hCamera, self.camera_config.anti_flicker_enabled)
# Set light frequency (0=50Hz, 1=60Hz)
mvsdk.CameraSetLightFrequency(self.hCamera, self.camera_config.light_frequency)
# Configure HDR if enabled (check if HDR functions are available)
try:
if self.camera_config.hdr_enabled:
mvsdk.CameraSetHDR(self.hCamera, 1) # Enable HDR
mvsdk.CameraSetHDRGainMode(self.hCamera, self.camera_config.hdr_gain_mode)
self.logger.info(f"HDR enabled with gain mode: {self.camera_config.hdr_gain_mode}")
else:
mvsdk.CameraSetHDR(self.hCamera, 0) # Disable HDR
except AttributeError:
self.logger.info("HDR functions not available in this SDK version, skipping HDR configuration")
self.logger.info(f"Advanced settings configured - Anti-flicker: {self.camera_config.anti_flicker_enabled}, " f"Light Freq: {self.camera_config.light_frequency}Hz, HDR: {self.camera_config.hdr_enabled}")
except Exception as e:
self.logger.warning(f"Error configuring advanced settings: {e}")
def __del__(self):
"""Destructor to ensure cleanup"""
if self.streaming:

View File

@@ -59,6 +59,11 @@ class CameraConfig:
auto_white_balance: bool = True # Enable automatic white balance
color_temperature_preset: int = 0 # 0=auto, 1=daylight, 2=fluorescent, etc.
# Manual White Balance RGB Gains (for manual white balance mode)
wb_red_gain: float = 1.0 # Red channel gain (0.0-3.99, default 1.0)
wb_green_gain: float = 1.0 # Green channel gain (0.0-3.99, default 1.0)
wb_blue_gain: float = 1.0 # Blue channel gain (0.0-3.99, default 1.0)
# Advanced Settings
anti_flicker_enabled: bool = True # Reduce artificial lighting flicker
light_frequency: int = 1 # 0=50Hz, 1=60Hz (match local power frequency)

View File

@@ -84,10 +84,17 @@ class AutoRecordingManager:
for camera_config in self.config.cameras:
if camera_config.enabled and camera_config.auto_start_recording_enabled:
# Update camera status in state manager
camera_info = self.state_manager.get_camera_info(camera_config.name)
camera_info = self.state_manager.get_camera_status(camera_config.name)
if camera_info:
camera_info.auto_recording_enabled = True
self.logger.info(f"Auto-recording enabled for camera {camera_config.name}")
else:
# Create camera info if it doesn't exist
self.state_manager.update_camera_status(camera_config.name, "unknown")
camera_info = self.state_manager.get_camera_status(camera_config.name)
if camera_info:
camera_info.auto_recording_enabled = True
self.logger.info(f"Auto-recording enabled for camera {camera_config.name}")
def _on_machine_state_changed(self, event: Event) -> None:
"""Handle machine state change events"""
@@ -96,15 +103,17 @@ class AutoRecordingManager:
new_state = event.data.get("state")
if not machine_name or not new_state:
self.logger.warning(f"Invalid event data - machine_name: {machine_name}, state: {new_state}")
return
self.logger.info(f"Machine state changed: {machine_name} -> {new_state}")
# Find cameras associated with this machine
associated_cameras = self._get_cameras_for_machine(machine_name)
for camera_config in associated_cameras:
if not camera_config.enabled or not camera_config.auto_start_recording_enabled:
self.logger.debug(f"Skipping camera {camera_config.name} - not enabled or auto recording disabled")
continue
if new_state.lower() == "on":
@@ -118,13 +127,10 @@ class AutoRecordingManager:
def _get_cameras_for_machine(self, machine_name: str) -> list[CameraConfig]:
"""Get all cameras associated with a machine topic"""
associated_cameras = []
# Map machine names to topics
machine_topic_map = {
"vibratory_conveyor": "vibratory_conveyor",
"blower_separator": "blower_separator"
}
machine_topic_map = {"vibratory_conveyor": "vibratory_conveyor", "blower_separator": "blower_separator"}
machine_topic = machine_topic_map.get(machine_name)
if not machine_topic:
return associated_cameras
@@ -138,23 +144,30 @@ class AutoRecordingManager:
def _handle_machine_on(self, camera_config: CameraConfig) -> None:
"""Handle machine turning on - start recording"""
camera_name = camera_config.name
# Check if camera is already recording
camera_info = self.state_manager.get_camera_info(camera_name)
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info and camera_info.is_recording:
self.logger.info(f"Camera {camera_name} is already recording, skipping auto-start")
return
self.logger.info(f"Machine turned ON - attempting to start recording for camera {camera_name}")
# Update auto-recording status
if camera_info:
camera_info.auto_recording_active = True
camera_info.auto_recording_last_attempt = datetime.now()
else:
# Create camera info if it doesn't exist
self.state_manager.update_camera_status(camera_name, "unknown")
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info:
camera_info.auto_recording_active = True
camera_info.auto_recording_last_attempt = datetime.now()
# Attempt to start recording
success = self._start_recording_for_camera(camera_config)
if not success:
# Add to retry queue
self._add_to_retry_queue(camera_config, "start")
@@ -162,11 +175,11 @@ class AutoRecordingManager:
def _handle_machine_off(self, camera_config: CameraConfig) -> None:
"""Handle machine turning off - stop recording"""
camera_name = camera_config.name
self.logger.info(f"Machine turned OFF - attempting to stop recording for camera {camera_name}")
# Update auto-recording status
camera_info = self.state_manager.get_camera_info(camera_name)
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info:
camera_info.auto_recording_active = False
@@ -179,57 +192,59 @@ class AutoRecordingManager:
self._stop_recording_for_camera(camera_config)
def _start_recording_for_camera(self, camera_config: CameraConfig) -> bool:
"""Start recording for a specific camera"""
"""Start recording for a specific camera using its default configuration"""
try:
camera_name = camera_config.name
# Generate filename with timestamp and machine info
timestamp = format_filename_timestamp()
machine_name = camera_config.machine_topic.replace("_", "-")
filename = f"{camera_name}_auto_{machine_name}_{timestamp}.avi"
# Use camera manager to start recording
success = self.camera_manager.manual_start_recording(camera_name, filename)
# Use camera manager to start recording with the camera's default configuration
# Pass the camera's configured settings from config.json
success = self.camera_manager.manual_start_recording(camera_name=camera_name, filename=filename, exposure_ms=camera_config.exposure_ms, gain=camera_config.gain, fps=camera_config.target_fps)
if success:
self.logger.info(f"Successfully started auto-recording for camera {camera_name}: {filename}")
self.logger.info(f"Using camera settings - Exposure: {camera_config.exposure_ms}ms, Gain: {camera_config.gain}, FPS: {camera_config.target_fps}")
# Update status
camera_info = self.state_manager.get_camera_info(camera_name)
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info:
camera_info.auto_recording_failure_count = 0
camera_info.auto_recording_last_error = None
return True
else:
self.logger.error(f"Failed to start auto-recording for camera {camera_name}")
return False
except Exception as e:
self.logger.error(f"Error starting auto-recording for camera {camera_config.name}: {e}")
# Update error status
camera_info = self.state_manager.get_camera_info(camera_config.name)
camera_info = self.state_manager.get_camera_status(camera_config.name)
if camera_info:
camera_info.auto_recording_last_error = str(e)
return False
def _stop_recording_for_camera(self, camera_config: CameraConfig) -> bool:
"""Stop recording for a specific camera"""
try:
camera_name = camera_config.name
# Use camera manager to stop recording
success = self.camera_manager.manual_stop_recording(camera_name)
if success:
self.logger.info(f"Successfully stopped auto-recording for camera {camera_name}")
return True
else:
self.logger.warning(f"Failed to stop auto-recording for camera {camera_name} (may not have been recording)")
return False
except Exception as e:
self.logger.error(f"Error stopping auto-recording for camera {camera_config.name}: {e}")
return False
@@ -238,15 +253,9 @@ class AutoRecordingManager:
"""Add a camera to the retry queue"""
with self._retry_lock:
camera_name = camera_config.name
retry_info = {
"camera_config": camera_config,
"action": action,
"attempt_count": 0,
"next_retry_time": datetime.now() + timedelta(seconds=camera_config.auto_recording_retry_delay_seconds),
"max_retries": camera_config.auto_recording_max_retries
}
retry_info = {"camera_config": camera_config, "action": action, "attempt_count": 0, "next_retry_time": datetime.now() + timedelta(seconds=camera_config.auto_recording_retry_delay_seconds), "max_retries": camera_config.auto_recording_max_retries}
self._retry_queue[camera_name] = retry_info
self.logger.info(f"Added camera {camera_name} to retry queue for {action} (max retries: {retry_info['max_retries']})")
@@ -256,20 +265,20 @@ class AutoRecordingManager:
try:
current_time = datetime.now()
cameras_to_retry = []
# Find cameras ready for retry
with self._retry_lock:
for camera_name, retry_info in list(self._retry_queue.items()):
if current_time >= retry_info["next_retry_time"]:
cameras_to_retry.append((camera_name, retry_info))
# Process retries
for camera_name, retry_info in cameras_to_retry:
self._process_retry(camera_name, retry_info)
# Sleep for a short interval
self._stop_event.wait(1)
except Exception as e:
self.logger.error(f"Error in retry loop: {e}")
self._stop_event.wait(5)
@@ -280,20 +289,20 @@ class AutoRecordingManager:
retry_info["attempt_count"] += 1
camera_config = retry_info["camera_config"]
action = retry_info["action"]
self.logger.info(f"Retry attempt {retry_info['attempt_count']}/{retry_info['max_retries']} for camera {camera_name} ({action})")
# Update camera status
camera_info = self.state_manager.get_camera_info(camera_name)
camera_info = self.state_manager.get_camera_status(camera_name)
if camera_info:
camera_info.auto_recording_last_attempt = datetime.now()
camera_info.auto_recording_failure_count = retry_info["attempt_count"]
# Attempt the action
success = False
if action == "start":
success = self._start_recording_for_camera(camera_config)
if success:
# Success - remove from retry queue
with self._retry_lock:
@@ -307,10 +316,10 @@ class AutoRecordingManager:
with self._retry_lock:
if camera_name in self._retry_queue:
del self._retry_queue[camera_name]
error_msg = f"Max retry attempts ({retry_info['max_retries']}) reached for camera {camera_name}"
self.logger.error(error_msg)
# Update camera status
if camera_info:
camera_info.auto_recording_last_error = error_msg
@@ -319,10 +328,10 @@ class AutoRecordingManager:
# Schedule next retry
retry_info["next_retry_time"] = datetime.now() + timedelta(seconds=camera_config.auto_recording_retry_delay_seconds)
self.logger.info(f"Scheduling next retry for camera {camera_name} in {camera_config.auto_recording_retry_delay_seconds} seconds")
except Exception as e:
self.logger.error(f"Error processing retry for camera {camera_name}: {e}")
# Remove from retry queue on error
with self._retry_lock:
if camera_name in self._retry_queue:
@@ -331,22 +340,6 @@ class AutoRecordingManager:
def get_status(self) -> Dict[str, Any]:
"""Get auto-recording manager status"""
with self._retry_lock:
retry_queue_status = {
camera_name: {
"action": info["action"],
"attempt_count": info["attempt_count"],
"max_retries": info["max_retries"],
"next_retry_time": info["next_retry_time"].isoformat()
}
for camera_name, info in self._retry_queue.items()
}
return {
"running": self.running,
"auto_recording_enabled": self.config.system.auto_recording_enabled,
"retry_queue": retry_queue_status,
"enabled_cameras": [
camera.name for camera in self.config.cameras
if camera.enabled and camera.auto_start_recording_enabled
]
}
retry_queue_status = {camera_name: {"action": info["action"], "attempt_count": info["attempt_count"], "max_retries": info["max_retries"], "next_retry_time": info["next_retry_time"].isoformat()} for camera_name, info in self._retry_queue.items()}
return {"running": self.running, "auto_recording_enabled": self.config.system.auto_recording_enabled, "retry_queue": retry_queue_status, "enabled_cameras": [camera.name for camera in self.config.cameras if camera.enabled and camera.auto_start_recording_enabled]}