AI-Powered Camera Surveillance & Management Application (Project)
Developed an AI-powered zoo surveillance application using real-time and recorded camera feeds. Implemented YOLO-based object detection to identify animal movement in different zoo zones and trigger alerting logic. Designed backend components to store detection logs and support analysis and reporting for monitoring use cases. • Used Python and deep learning libraries for model inference and video processing. • Integrated web interfaces to display camera streams and detection results. • Built backend logic to persist detection outputs for querying and dashboarding. • Ensured the system delivered accurate detection and efficient performance for real-world deployment.