Proactive Neighborhood Security: A Cost-Efficient AI Surveillance System for Real-Time Robbery and Theft Detection in Kinyinya Sector.

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This research focuses on developing a cost-efficient AI surveillance system, Proactive Neighborhood Security, leveraging ESP32-CAM and GSM modules to address community security challenges in Rwanda. The study outlines the significance of Irondo ry’Umwuga, provides a detailed methodology, and anticipates impactful outcomes in enhancing local security. Supervised by leading experts, the work represents an innovative approach in the field of Computer and Software Engineering.

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