Abstract: This project presents a multifunctional robotic system designed to support defense and emergency missions by using Raspberry Pi, AI, and DET-YOLO algorithms. The robot integrates a surveillance camera, PIR sensor, metal detector, and voice module for effective detection and communication. It can identify and track aircraft or landmines, providing real time feedback for safer operations. The system uses DC motors for smooth mobility and can navigate rough terrains autonomously. By combining intelligent image detection and terrain sensing, the robot minimizes human risk in combat zones and hazardous areas. Its adaptable design also makes it suitable for civilian uses such as disaster management and search-and rescue operations. The goal of this work is to create a cost-effective, AI-enabled robot that enhances safety and efficiency in high-threat environments.
Keywords: Pir sensor, Laser gun, Camera, DC Motors, H-Bridge, Proximity Sensor, Color sensor, Zigbee, Dispenser kit, Raspberry pi, Ultrasonic sensor, Battery.
Downloads:
|
DOI:
10.17148/IJARCCE.2025.141243
[1] Dr. Kavitha R J, Saraswati KH, Shobha SN, Tejashwini AR, Tejaswini B, "Military Aircraft and Landmine Detection Using Multifunctional Robot with Det-Yolo," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141243
