People Counting Project using OpenCV
People Counting and Detection for Pedestrian Areas utilizes neural networks to monitor and analyze crowd dynamics. By processing video feeds, the system accurately counts and tracks the movement of people in various pedestrian areas. User have to provide input feed to people counting project then model will detect people and count the total number of person.
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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