Object Monitoring and Detection with YOLO in TensorFlow and Neural Networks

Object Monitoring and Detection with YOLO in TensorFlow and Neural Networks extends the capabilities of YOLO for continuous object tracking and surveillance. This application utilizes neural networks to implement YOLO in TensorFlow, enabling real-time monitoring of object movements. The system excels in tracking objects across frames, providing valuable data for security, traffic management, and smart city applications. The integration of YOLO and neural networks ensures efficient and reliable object monitoring in dynamic environments.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM