Juan Velez

Deep Learning and Edge Computing-Based Weapon Detection Models for Enhancing Perimeter Security in Smart Cities

Early firearm detection in urban environments represents an important challenge for modern security and video surveillance systems. In this context, this work proposes and evaluates detection models based on Deep Learning, TinyML, and Edge AI for embedded devices and edge-computing platforms. The research integrates ar...