AI-IoT Missile Defense: Predictive Collision Avoidance & Smart Detection

Abstract

Modern defense and security environments require rapid and accurate threat detection systems capable of responding to moving aerial or ground targets in real time. Conventional surveillance and target interception systems mainly depend on manual monitoring and operator-controlled weapon mechanisms, which often suffer from delayed response, limited tracking accuracy, and reduced effectiveness under fast-moving threat conditions. Traditional systems also face challenges in continuously monitoring targets across multiple directions, particularly during low-visibility conditions or nighttime operations. These limitations create the need for an intelligent automated defense system capable of detecting, tracking, and responding to hostile objects with minimal human intervention. To address this issue, the proposed Automatic Missile Detection and Destroying System introduces an embedded sensor-based autonomous target tracking and firing mechanism. The system utilizes an ultrasonic sensor for continuous object detection and distance measurement, while a servo motor enables rotational scanning across multiple angular positions for real-time target tracking. A microcontroller-based control unit processes the received sensor data, calculates the target position, and controls a DC (Direct Current) geared motor-driven firing mechanism that automatically aligns toward the detected object. Once the target direction is fixed, the launcher mechanism activates to engage the detected object. The entire system is programmed using Embedded C for real-time embedded control operations. The proposed system provides faster target response, improved tracking accuracy, automatic directional control, and enhanced surveillance capability under both day and night conditions, making it suitable for intelligent defense and automated security applications.