Real-Time Computer Vision

The objective of this project is to develop a real-time computer vision solution for accurately counting people in a moving environment. Using advanced image processing techniques and leveraging both C++ and Python, learners will design, implement, and optimize algorithms that can detect, track, and count individuals as they move through a scene. The project will culminate in a working prototype that demonstrates robust and real-time performance, even under varying lighting conditions and dynamic backgrounds, providing a practical solution for applications such as crowd monitoring and public space management.