People Counting and Detection for College Campus with Neural Networks

People Counting and Detection for College Campus utilizes neural networks to monitor and analyze crowd dynamics within educational institutions. By processing video feeds, the system accurately counts and tracks the movement of people in various campus areas. This application aids in optimizing space utilization, ensuring crowd safety, and facilitating efficient campus management. The neural networks’ capability to handle diverse scenarios and crowd sizes enhances the accuracy and reliability of people counting.

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