Crowd Coordination System

Effective crowd management is Privacy-Ensuring public safety and optimizing the efficiency of diverse events and public spaces. In real time of The system can estimate crowd density and monitor changes over time by analyzing video feeds or images adequate for handling large crowds. The suggested system utilizes Y olov7 algorithms and computer vision techniques to accurately count individuals in real-time. Through the analysis of video feeds or images, the system can estimate crowd density and monitor changes over time. When predefined thresholds for crowd size or density are met, the system automatically generates alert emails using the Gmail API, sending them to pertinent stakeholders such as event organizers, security personnel, or public authorities. These alerts facilitate prompt responses to potential overcrowding situations, allowing for proactive crowd management and improved safety measures. This summary underscores the potential of AI -driven crowd management systems to offer real-time monitoring and alerting capabilities, contributing to effective crowd control and ensuring the welfare of individuals in various public spaces or events. The proactive approach aims to boost safety, streamline crowd flow, and mitigate risks associated with overcrowding.