Real-time footfall analysis in retail stores.
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Updated
Apr 24, 2024 - Python
Real-time footfall analysis in retail stores.
C++ RTSP video analytics with YOLO ONNX, polygon zones, dwell-time alerts, snapshots, and CSV event logging.
Production-grade Python guides for fleet telematics & mobility data — GPS cleaning, stop & dwell-time detection, trajectory analysis & map matching, and routing-engine integration (OSRM, Valhalla, GraphHopper).
A machine learning system for railway operations analytics. Predicts train dwell times and expected arrival/departure times (ETADS) using ensemble models, with REST API services for real-time predictions. Built with Python, scikit-learn, and Flask/FastAPI, designed for experimentation and deployment.
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