Face Detection in Crowded Environments

This project aims to develop a system capable of detecting and locating faces in crowded environments using advanced computer vision techniques and deep learning algorithms. By analyzing images or video footage, the system will accurately identify individual faces within a crowd, providing valuable information for applications such as security surveillance, crowd management, and social behavior analysis.