Video-Based People Counting leverages neural networks to provide accurate and real-time counts of people within a designated area. This application analyzes video footage, ensuring precise counting even in crowded or dynamic environments. The system finds applications in retail analytics, event management, and public spaces, offering valuable insights into visitor trends and crowd dynamics. The neural networks’ adaptability and efficiency contribute to the effectiveness of people counting in various contexts.
Software Requirements :-
- Operating System: Win 7 or more
- Programming Language: Python
Hardware Requirement :-
- Processor-i3
- Hard disk-5GB
- Memory-2GB RAM