rohanrao619/Social_Distancing_with_AI
Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.
Combines YOLOv3 object detection with DBSCAN clustering to identify crowding violations, while a ResNet50 classifier detects unmasked faces trained on synthetically augmented datasets. Facial landmarks enable programmatic mask overlay generation for training data augmentation, with Dual Shot Face Detector handling occluded and low-resolution faces across varied orientations. Implemented as interactive Jupyter Notebooks targeting Google Colab's GPU/TPU backend for processing video streams.
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61
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42
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 06, 2021
Commits (30d)
0
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