Commit Graph

7 Commits

Author SHA1 Message Date
Alireza Vaezi
28400fbfb8 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.
2025-07-29 13:54:16 -04:00
Alireza Vaezi
ff7cb2c8f3 Add comprehensive tests for camera streaming, time synchronization, and auto-recording functionality
- Implemented test script for camera streaming functionality, covering API endpoints and concurrent recording.
- Created time verification script to check system time synchronization against multiple APIs.
- Developed timezone utility tests to validate timezone functions and logging.
- Added integration tests for system components, including configuration, camera discovery, and API endpoints.
- Enhanced MQTT logging and API endpoint tests for machine and MQTT status.
- Established auto-recording tests to simulate state changes and verify automatic recording behavior.
- Created simple tests for auto-recording configuration and API model validation.
2025-07-29 11:15:10 -04:00
Alireza Vaezi
0c92b6c277 feat: Integrate auto-recording feature into USDA Vision Camera System
- Added instructions for implementing auto-recording functionality in the React app.
- Updated TypeScript interfaces to include new fields for auto-recording status and configuration.
- Created new API endpoints for enabling/disabling auto-recording and retrieving system status.
- Enhanced UI components to display auto-recording status, controls, and error handling.
- Developed a comprehensive Auto-Recording Feature Implementation Guide.
- Implemented a test script for validating auto-recording functionality, including configuration checks and API connectivity.
- Introduced AutoRecordingManager to manage automatic recording based on machine state changes with retry logic.
- Established a retry mechanism for failed recording attempts and integrated status tracking for auto-recording.
2025-07-29 09:43:14 -04:00
Alireza Vaezi
0a26a8046e Refine camera settings: adjust sharpness, contrast, gamma, noise filter, and auto white balance 2025-07-29 07:58:41 -04:00
Alireza Vaezi
9cb043ef5f feat: Add MQTT publisher and tester scripts for USDA Vision Camera System
- Implemented mqtt_publisher_test.py for manual MQTT message publishing
- Created mqtt_test.py to test MQTT message reception and display statistics
- Developed test_api_changes.py to verify API changes for camera settings and filename handling
- Added test_camera_recovery_api.py for testing camera recovery API endpoints
- Introduced test_max_fps.py to demonstrate maximum FPS capture functionality
- Implemented test_mqtt_events_api.py to test MQTT events API endpoint
- Created test_mqtt_logging.py for enhanced MQTT logging and API endpoint testing
- Added sdk_config.py for SDK initialization and configuration with error suppression
2025-07-28 16:30:14 -04:00
Alireza Vaezi
731d8cd9ff Enhance time synchronization checks, update storage paths, and improve camera recording management 2025-07-25 22:38:33 -04:00
Alireza Vaezi
f6d6ba612e Massive update - API and other modules added 2025-07-25 21:39:07 -04:00