Shoplifting Detector
Upload a surveillance video (max 30 seconds) to detect theft in real time
Shoplifting Detector
Pose estimation pipeline that labels each person in a surveillance video as Suspicious or Normal, frame by frame.
Python
FastAPI
YOLO11
XGBoost
OpenCV
What this proves
- ✓Real-time pose estimation using YOLO11 keypoint detection
- ✓XGBoost classifier trained on UCF-Crime shoplifting dataset
- ✓Frame-by-frame Suspicious / Normal labeling with bounding boxes
- ✓RTSP live stream support for real surveillance cameras
- ✓Telegram alert integration on theft detection
Drop video here or click to browse
MP4 · AVI · MOV · MKV · max 30 seconds
Processing… this may take up to 60 seconds
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Frames
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Suspicious
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Process time