The Development of Detection System for Bus Passenger Monitoring
Keywords:
Arduino Uno, Travel bus, BPD, Passenger detector, Item detectorAbstract
The Bus Passenger Detector System (BPD) is a device that utilises electronic components to assist bus operators, particularly those in the travel bus industry. Passengers frequently miss the bus during R&R (Rest and Recuperation) due to the necessity for more time to attend to personal matters, such as using the lavatory or eating. In addition, abandoned belongings pose significant challenges for passengers to reclaim or may be susceptible to theft. The objective of this project is to effectively address and resolve both of the identified issues. In order to ensure the success of the project, it is essential to develop a fundamental report, such as a flowchart and schematic diagram, prior to the implementation of the product. This device is specifically engineered to deliver instantaneous data regarding the passenger count on the bus as well as the contents of the overhead storage compartment. Additionally, it can enhance the effectiveness of bus operations and enhance customer convenience by delivering up-to-the-minute data on bus capacity and the whereabouts of unoccupied seats. This project is implemented based on specific criteria, including user-friendliness, ease of installation, high quality, ease of comprehension, and affordability. The Bus Passenger Detector project is an advantageous instrument for surveilling individuals and articles on a bus.
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References
Cao, Z., Li, Y. and Xie, Z. (2022). Face Detection for Rail Transit Passengers Based
on Single Shot Detector and Active Learning. Multimedia Tools and Applications, 81 (29): 42433–56.
Martínez-Estrada, M., Ignacio G. and Raúl F-G. (2023). Automotive Seat Occupancy
Sensor Based on E-Textile Technology. Engineering Proceedings 30 (1).
Sharma, R. and Sawant, Y. (2020). Smart Bus: Seat Occupancy Detection System.
International Research Journal of Modernization in Engineering Technology and Science, (05): 2582–5208. www.irjmets.com.
Zeeman, A.S., Booysen, M.J., Ruggeri G. and Lagana B. (2013). Capacitive Seat
Sensors for Multiple Occuoancy Detection Using a Low-Cost Setup. In: Prooceeding of the IEEE International Conference on Industrial Technology (June): 1228-1233.
Azlan, M.A., Mahamad, A.K. and Saon, S. (2021). Face Recognition of Passenger for
Bus Services. Evolution on Electrical and Electronic Engineering, 2 (1): 55-63.