A target-tracking system powered by computer vision is a cutting-edge solution with versatile applications, including defense, surveillance, and industrial automation. This project leverages real-time image processing to detect and track targets using a camera feed. The detected target's coordinates are sent to a custom-built mechanical model equipped with three servo motors and a weapon-like structure, enabling precise alignment with the target.

At the core of the system is the use of advanced computer vision algorithms to identify targets from live video input. Once a target is detected, the system calculates its position and transmits this data to servo motors, which adjust the model's orientation. This creates a dynamic, responsive setup capable of tracking moving targets with high accuracy.

Such systems hold immense potential in the defense industry, where automated target-tracking solutions are critical for surveillance, threat detection, and perimeter security. Beyond defense, this technology can be adapted for civilian applications, such as wildlife monitoring, industrial quality assurance, or even sports analytics, where precise motion tracking is required.

The integration of computer vision and mechanical systems in this project demonstrates the possibilities of combining artificial intelligence with robotics. It paves the way for developing more advanced and efficient automated systems that can operate autonomously in complex environments. This type of innovation is a key enabler for the smart, technology-driven solutions of the future.