
Vision-Based Object Tracking with Dual PID Control
Building a Vision-Based Object Tracking System Using Dual PID Control Project Repository View the complete source code on GitHub Introduction In robotics, feedback is what makes a system intelligent. Unlike open-loop systems, closed-loop systems continuously measure their output and correct themselves in real time. In this project, I built a vision-based closed-loop control system using a webcam and dual PID controllers. The system detects a colored object, aligns itself horizontally, and maintains a safe distance using only camera input. This setup mimics the core logic used in autonomous vehicles, drones, and mobile robots. Problem Statement The objective of this project was to design a system that can track a target object using only camera input and respond to it in real time. The system should: Detect a colored object from a live video stream Align itself horizontally with the object Maintain a safe and consistent distance Continuously adjust its motion using feedback The challeng
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