Blind spot detection to prevent serious accidents for children in cyclists

Sanaba, Utari ORCID: https://orcid.org/0009-0006-9440-316X, Syufie, Virhan Mujahid, Othman, Rasyeedah Binti Mohd and Dharma, Muhammad Richard Dzaki (2025) Blind spot detection to prevent serious accidents for children in cyclists. IJEIE : International Journal of Electrical and Intelligent Engineering, 1 (1). pp. 11-19. ISSN 3110-7079

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Abstract

Bicycles are used not only for transportation but also as a means of exercise. However, the lack of safety features increases the risk of accidents and theft, especially for children. This research develops a bicycle safety system using ultrasonic sensors to detect objects in blind spots and provide early warnings when the rider changes lanes. The system includes a smart lock and location monitoring, controlled via an application using the TCP/IP protocol with a SIM900A module. Testing showed successful GPS data transmission with very low error rates: 0.0012614% for latitude and 5.413E-05% for longitude. The blind spot detector accurately measured the distance of walls and nearby vehicles with an accuracy of 92.77%. The safety system—consisting of the smart lock and LED indicators—was successfully activated when a vehicle entered the cyclist’s blind spot, enhancing protection and awareness for the rider.

Item Type:	Journal Article
Keywords:	SIM900A, blind spot detector, ultrasonic sensor, smart lock, GPS
Subjects:	09 ENGINEERING > 0906 Electrical and Electronic Engineering
Divisions:	Faculty of Technology > Department of Electrical Engineering
Depositing User:	Utari Sanaba
Date Deposited:	04 Feb 2026 09:13

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