Enemy Tank Detection Using Image Processing

This paper presents the design and implementation of an Automated Enemy Tank Detection and Response System utilizing modern technologies such as image processing, wireless communication, and the Internet of Things (IoT). The system detects and differentiates between friendly and enemy tanks using infrared (IR) identification signals and automatically adjusts a servo motor for accurate targeting. It also features real-time monitoring and data transmission capabilities to provide continuous situational awareness to military personnel, enhancing threat response efficiency. Additionally, the system can intercept radio frequency (RF) signals to expand its surveillance capabilities. The proposed framework reduces human intervention, accelerates response times, and ensures adaptability for future advancements like artificial intelligence (AI) integration for autonomous defense operations.[1]