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Volume 15
Issue 7
10.3390/app15074072
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Article

An Intelligent Monitoring System for the Driving Environment of Explosives Transport Vehicles Based on Consumer-Grade Cameras

by
Jinshan Sun
1,2,
Jianhui Tang
3,
Ronghuan Zheng
3,
Xuan Liu
3,
Weitao Jiang
3 and
Jie Xu
3,4,*
1
State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China
2
Hubei Key Laboratory of Blasting Engineering, Jianghan University, Wuhan 430056, China
3
School of Civil Engineering, Tianjin University, Tianjin 300350, China
4
Key Laboratory of Coast Civil Structure Safety of the Ministry of Education, Tianjin University, Tianjin 300350, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(7), 4072; https://doi.org/10.3390/app15074072
Submission received: 27 December 2024 / Revised: 18 March 2025 / Accepted: 4 April 2025 / Published: 7 April 2025
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Abstract

With the development of industry and society, explosives are widely used in social production as an important industrial product and require transportation. Explosives transport vehicles are susceptible to various objective factors during driving, increasing the risk of transportation. At present, new transport vehicles are generally equipped with intelligent driving monitoring systems. However, for old transport vehicles, the cost of installing such systems is relatively high. To enhance the safety of older explosives transport vehicles, this study proposes a cost-effective intelligent monitoring system using consumer-grade IP cameras and edge computing. The system integrates YOLOv8 for real-time vehicle detection and a novel hybrid ranging strategy combining monocular (fast) and binocular (accurate) techniques to measure distances, ensuring rapid warnings and precise proximity monitoring. An optimized stereo matching workflow reduces processing latency by 23.5%, enabling real-time performance on low-cost devices. Experimental results confirm that the system meets safety requirements, offering a practical, application-specific solution for improving driving safety in resource-limited explosive transport environments.
Keywords: consumer-grade camera; driving environment monitoring; YOLOv8; distance measurement; binocular vision consumer-grade camera; driving environment monitoring; YOLOv8; distance measurement; binocular vision

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MDPI and ACS Style

Sun, J.; Tang, J.; Zheng, R.; Liu, X.; Jiang, W.; Xu, J. An Intelligent Monitoring System for the Driving Environment of Explosives Transport Vehicles Based on Consumer-Grade Cameras. Appl. Sci. 2025, 15, 4072. https://doi.org/10.3390/app15074072

AMA Style

Sun J, Tang J, Zheng R, Liu X, Jiang W, Xu J. An Intelligent Monitoring System for the Driving Environment of Explosives Transport Vehicles Based on Consumer-Grade Cameras. Applied Sciences. 2025; 15(7):4072. https://doi.org/10.3390/app15074072

Chicago/Turabian Style

Sun, Jinshan, Jianhui Tang, Ronghuan Zheng, Xuan Liu, Weitao Jiang, and Jie Xu. 2025. "An Intelligent Monitoring System for the Driving Environment of Explosives Transport Vehicles Based on Consumer-Grade Cameras" Applied Sciences 15, no. 7: 4072. https://doi.org/10.3390/app15074072

APA Style

Sun, J., Tang, J., Zheng, R., Liu, X., Jiang, W., & Xu, J. (2025). An Intelligent Monitoring System for the Driving Environment of Explosives Transport Vehicles Based on Consumer-Grade Cameras. Applied Sciences, 15(7), 4072. https://doi.org/10.3390/app15074072

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