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Intelligent Passenger Estimation System for Vehicle Occupancy Detection
Banking & Finance
Data capture & ML consulting services to map out the way to a custom
Developed a computer vision system for real-time passenger estimation in vehicles, achieving 92% accuracy using a YOLO-based model. Integrated diverse camera angles and lighting for robustness. Deployed with Docker and FastAPI, enhanced with data augmentation and transfer learning. Enabled traffic planning through geographic mapping of passenger density and flow.
Conclusion
Our computer vision solution delivered accurate, real-time passenger estimates, enabling smarter traffic planning through geo-mapped density insights. By leveraging YOLO, transfer learning, and robust deployment practices, we built a scalable, high-performing system adaptable to real-world conditions.
Banking & Finance ...
