Automated merge - qualcomm/Startup-Demos:feature_rel_20260506_155645 -> qualcomm/Startup-Demos:main#182
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smartcoder00 wants to merge 8 commits intomainfrom
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Automated merge - qualcomm/Startup-Demos:feature_rel_20260506_155645 -> qualcomm/Startup-Demos:main#182smartcoder00 wants to merge 8 commits intomainfrom
smartcoder00 wants to merge 8 commits intomainfrom
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- Integrate MediaPipe hand detection and hand landmark models - Enable ONNX Runtime inference with QNN Execution Provider for NPU acceleration - Support real-time camera input and optional front-camera mirroring via CLI - Add configurable detection thresholds and ROI scaling parameters - Update documentation with setup instructions, anchor file requirements, and example outputs Signed-off-by: Chou, Kevin <kevichou@qti.qualcomm.com>
- The Industrial Anomaly Detection application demonstrates real-time AI-powered detection of industrial hazards (fire and leakage) using the Arduino UNO Q board integrated with a USB webcam and Edge Impulse machine learning models . - The system provides immediate visual feedback through both a web-based interface displaying live video with detection labels and an LED matrix that shows distinct patterns for each anomaly type . Signed-off-by: Shashank Chikkanayakanahalli Vishwaradhya (Shashank C V) (Temp) <shascv@qti.qualcomm.com>
- The Industrial Anomaly Detection application demonstrates real-time AI-powered detection of industrial hazards (fire and leakage) using the Arduino UNO Q board integrated with a USB webcam and Edge Impulse machine learning models . - The system provides immediate visual feedback through both a web-based interface displaying live video with detection labels and an LED matrix that shows distinct patterns for each anomaly type .
Automated merge - qualcomm/Startup-Demos:feature_rel_20260506_114149 -> qualcomm/Startup-Demos:main
- Integrate MediaPipe hand detection and hand landmark models - Enable ONNX Runtime inference with QNN Execution Provider for NPU acceleration - Support real-time camera input and optional front-camera mirroring via CLI - Add configurable detection thresholds and ROI scaling parameters - Update documentation with setup instructions, anchor file requirements, and example outputs
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Automated merge via script.