AI-Assisted Design and Development of an Automated Electromagnetic Braking System Using Arduino
DOI:
https://doi.org/10.63282/3050-922X.ICAILLMBA-102Keywords:
Artificial Intelligence, Electromagnetic Brake, Arduino, Intelligent Braking System, Ultrasonic Sensor, Collision Prediction, Embedded SystemsAbstract
The increasing demand for vehicle safety has led to the development of intelligent braking technologies capable of minimizing accidents caused by delayed human response. This paper describes the design, fabrication and evaluation of an AI-assisted electromagnetic braking system controlled by an Arduino platform. The system employs a non-contact electromagnetic braking mechanism combined with ultrasonic sensing and artificial intelligence-based decision logic to enable predictive braking. Unlike conventional threshold-based braking systems, the proposed approach evaluates real-time distance, speed and approach rate to determine braking intensity. The prototype was developed using low-cost components and tested under controlled conditions. Experimental observations confirm rapid braking response, reduced mechanical wear and improved adaptability, making the system suitable for smart vehicles, robotics and educational applications.
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