A Multimodal Smart Street Light System for Enhancing Women’s Safety at NightA Multimodal Smart Street Light System for Enhancing Women’s Safety at Night

Abstract

Safety of women at night has become a major social issue in modern cities and semi-urban areas. The reasons for numerous crimes include inadequate lighting, surveillance infrequently, sluggish emergency response, and the absence of live monitoring systems. The primary function of conventional streetlights is to provide light, but it does not contribute to public safety or crime prevention. CCTV systems currently on the market are self-contained and require manual monitoring, making them less suitable for emergency situations. This research suggests that streetlights could be designed as smart safety units to enhance women's safety at night. Artificial Intelligence (AI) and Internet of Things (IoT) are combined with a range of other sensors, such as cameras equipped with built-in microphones, motion sensors or panic buttons, to create the system. The combination of these components identifies suspicious activities, distress sounds, unusual movement patterns, and manual emergency signals in real-time. Upon detection of an imminent risk the system will increase the brightness of the streetlight, sound alarms, capture visual evidence and immediately notify emergency contacts or local authorities. Using multiple data sources and making smart decisions, the proposed system allows for faster responses, better surveillance, and increased safety for women traveling at night. As part of smart city initiatives, this solution provides a flexible and proactive approach to safeguard public safety. Women Safety, Smart Street Lighting, Multimodal Sensors, IoT, Artificial Intelligence, Surveillance System, Emergency Alert are the key areas of focus.