What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...
What it does: Opens the webcam, tracks facial landmarks using MediaPipe, computes Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR), and triggers a DROWSY alert if eyes stay closed for ~0.5 seconds ...
A complete, runnable starter project. Face detection runs on OpenCV; all recognition is done with a TensorFlow/Keras CNN — no other deep learning framework is used anywhere in this codebase.
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