Abstract: This paper presents an innovative AI-powered surveillance camera system designed to enhance pedestrian safety in urban environments. The system utilizes efficient algorithm to monitor pedestrian behavior, detect potential hazards, and assess the environmental risks. By leveraging real-time data analytics, the system can identify suspicious activities or accidents and trigger automated alerts. It also supports a rapid response, the system incorporates contextual audio-visual monitoring, allowing it to capture and transmit relevant evidence when critical events are detected. These insights are securely and discreetly communicated to nearby enforcement units, enabling timely and informed intervention. This system serves as a vital asset in modern urban safety infrastructure, enhancing situational awareness and aiming to reduce response times and improve public security outcomes.

Keywords: Hazard detection, Real-time data analytics, AI-powered surveillance, Emergency response

| DOI: 10.17148/IARJSET.2025.125382