Demonstrates enhanced security and efficiency in train ticket verification by integrating facial recognition.
The Face Recognition Train Ticket Verification System utilizes cutting-edge technology based on the YOLO (You Only Look Once) algorithm to revolutionize the process of boarding trains. By integrating facial recognition capabilities with ticket verification, the system enhances both security and efficiency in train boarding procedures. Upon boarding, passengers' faces are scanned in real-time and compared with the verified train ticket database. This instantaneous process ensures that only individuals with booked tickets are granted access to the train, enhancing security by preventing unauthorized entry. The YOLO algorithm, known for its speed and accuracy in object detection tasks, plays a pivotal role in this system by swiftly analyzing facial features and matching them with the stored ticket data. This allows for seamless and efficient verification, eliminating the need for manual ticket checks or physical barriers. As a result, boarding procedures are streamlined, reducing congestion and enhancing the overall passenger experience. Moreover, the automated nature of the system minimizes the risk of human error, further bolstering security measures. By implementing the Face Recognition Train Ticket Verification System, railway authorities can significantly improve the integrity of ticketing processes while optimizing operational efficiency. Not only does the system enhance security by ensuring that only valid ticket holders can access the train, but it also facilitates smoother boarding procedures, ultimately leading to a more seamless and enjoyable travel experience for passengers. With its advanced technology and robust capabilities, this system represents a significant advancement in the realm of railway security and passenger management.
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Jadhav et al. (2026) studied this question.
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