Abstract
The process of train coupling is a critical operation in railway systems, traditionally dependent on manual or semi-mechanical methods that pose safety risks, increase operational time, and reduce efficiency. This research presents the design and development of an electromagnetic-based automatic train coupling system, termed Magneto Lock, aimed at enhancing automation, safety, and reliability in railway operations. The proposed system utilizes electromagnets for contactless coupling and decoupling, integrated with sensors such as ultrasonic, Hall effect, and infrared sensors to ensure precise alignment, obstacle detection, and magnetic field verification. A microcontroller-based control unit enables intelligent decision-making and supports remote operation through wireless communication modules. Additionally, a secure locking mechanism ensures stable mechanical connectivity, while provisions for power and data transfer between train units are incorporated. The system also includes monitoring features such as short-circuit detection and visual indicators to enhance operational safety. Experimental demonstration of the prototype validates its effectiveness in achieving faster, safer, and more reliable coupling compared to conventional methods. The proposed solution significantly reduces human intervention, minimizes accident risks, and aligns with the growing demand for smart and automated railway infrastructure. Moreover, the system employs an ESP32-CAM-based camera module for real-time visual monitoring of the coupling process. This functionality allows for verification of precise alignment between train units, thereby improving accuracy and providing an extra layer of safety and oversight, particularly in remote or automated contexts.
Keywords
Automatic Train Coupling, Electromagnetic System, Railway Automation, Sensor Integration, Smart Transportation
Citations
IRE Journals:
Souvik Poddar, Aditya Majhi, Zheeruddin Shah, Gurupada Pal "Magneto Lock: Secure & Automatic Train Coupling" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1800-1805 https://doi.org/10.64388/IREV9I9-1715450
IEEE:
Souvik Poddar, Aditya Majhi, Zheeruddin Shah, Gurupada Pal
"Magneto Lock: Secure & Automatic Train Coupling" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715450
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