Nurin Aqilah Binti Ahmad Yazid Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK)
This project aims to develop a computer vision system for estimating the number of people in crowded events using image and video data. By applying deep learning techniques such as convolutional neural networks (CNNs) and crowd density estimation, the system provides accurate and real-time crowd counts. The solution addresses challenges like occlusion, scale variation, and dense scenes, offering a practical tool for event management and public safety.
