Intelligent Campus Safety Management using IoT and CNNs for Surveillance, Access, and Emergency Response

This paper introduces a novel strategy for improving campus security by combining Convolutional Neural Networks (CNNs) with Internet of Things (IoT) technology. For a smart campus safety management system, the suggested solution integrates advanced monitoring with access control and emergency response methods. IoT devices are placed in key locations across the campus to gather data in real-time. This data is then analyzed using CNNs to ensure strong monitoring and the identification of anomalies. Implementing CNNs allows for the detection of possible dangers, while access control measures guarantee protected entry points. The system makes use of AI-powered intelligent emergency response methods to optimize and speed up crisis management. Through the implementation of this all-encompassing strategy, want to build a safer and smarter educational ecosystem by guaranteeing the safety of campus settings. The research showcases the possibility for scalable deployment in varied campus contexts by demonstrating the usefulness of the proposed system via simulations and real-world deployments.