Automatic Speed Controller Using Ardino and IR Sensors

This research focuses on the development of an automatic speed control system utilizing Arduino and Infrared (IR) sensors to enhance safety and efficiency in motion-based systems. The system is designed to dynamically adjust the speed of a motor based on real-time data obtained from IR sensors, which detect obstacles and measure distances. Arduino, as an open-source microcontroller, serves as the central processing unit, ensuring precise control of motor speeds through programmed logic and feedback loops. The proposed system demonstrates reliable performance with quick response times and effective obstacle avoidance. Its simplicity, low cost, and adaptability make it suitable for applications in robotics, industrial automation, and intelligent transportation systems. The results show significant improvements in speed regulation and operational safety compared to traditional methods. This study highlights the potential for further advancements, such as integrating machine learning for adaptive control or using wireless communication for remote monitoring.