Smart Surveillance: AI-Driven Threat Detection and Women Safety Enhancement
N Sasikala, Manoj Kumar Asher B, Swaraj Khan P, V Kartik, Havish Ram Padarthi · 2025
The safety of women in public and private spaces has become a pressing concern in today’s world. With the growing need for better security, intelligent surveillance systems are becoming a vital solution. This paper introduces a Smart Surveillance System designed to detect threats in real time. Using the power of Raspberry Pi 5 for edge computing, the system efficiently stores machine learning models and video recordings while processing data quickly and effectively. The system is capable of real-time violence detection, weapon identification, and behavioral profiling, distinguishing between genuine threats and regular activities. It also analyzes facial expressions and behaviors using advanced computer vision and deep learning techniques. To enable quick responses, the system sends alerts to relevant authorities through a chatbot-SafeWatch when suspicious activity is detected. This innovative solution is adaptable for use in public safety, institutional security, and home surveillance. Unlike traditional surveillance systems that rely heavily on human monitoring, this system minimizes errors and ensures faster responses. By advancing smart surveillance technology, this system contributes to creating safer environments and reducing risks in dangerous situations.