مجلة الاربعين المحكمة
The ziyarat Al-Arbaeen in Karbala, Iraq, is one of the largest annual gatherings of people in the world, attracting millions of visitors. This poses significant challenges in crowd control, ensuring smooth flow of traffic, and ensuring the safety of visitors. This research aims to develop an intelligent people counting system using advanced computer vision techniques, relying on convolutional neural networks (CNNs), to accurately and effectively detect individuals in video clips, without the use of facial recognition or identification techniques. The system analyzes the input videos to calculate the total number of people appearing in each frame. The results are displayed as a representation of the total number, allowing for a more accurate understanding of the crowd distribution in the studied locations. The system currently does not include real-time data processing, but the possibility of developing this aspect and adding automatic alerts when crowd density increases is an important future endeavor that could enhance the system’s ability to effectively manage crowds. This research represents a first step towards employing artificial intelligence techniques to support crowd control during major religious events and highlights the potential of computer vision as an effective tool to help ensure the safety and security of visitors.