MILITARY ROBOT: Autonomous Military Robot for Border Surveillance Using Computer Vision and Adaptive Camouflage

This research paper presents the design and development of an autonomous military robot for border surveillance using computer vision, adaptive camouflage, and IoT-based real-time communication. The system integrates MTCNN for face detection and FaceNet for recognition to classify authorized and unknown individuals. An environmental color-sensing module enables dynamic camouflage adaptation, while ultrasonic sensors support autonomous navigation. The robot also incorporates a laser-based threat-response mechanism and IoT alerting system. The system aims to enhance border security while reducing human risk