Blind Spot Safety with Thermal Image Processing for Heavy Vehicles


EOI: 10.11242/viva-tech.01.08.049

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Citation

Naved siddiqui, Rahul Abhyankar, Pratik patil, Manas pawar, "Blind Spot Safety with Thermal Image Processing for Heavy Vehicles", VIVA-IJRI Volume 1, Issue 8, Article 1, pp. 1-7, 2025. Published by Electrical Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

“Blind Spot Safety with Thermal Image Processing for Heavy Vehicles” Growing safety concerns for heavy vehicles have prompted significant advancements in blind spot detection systems. Blind spots in heavy vehicles pose risks of accidents, especially under poor visibility conditions. This paper proposes a thermal image processing-based system to enhance blind spot safety. The system uses thermal cameras to detect heat signatures, identifying pedestrians, cyclists, and other vehicles in blind spots, even in low light or adverse weather. Advanced image processing algorithms and machine learning techniques are employed to classify detected objects and trigger real-time alerts for drivers. A prototype was tested under various environmental conditions, demonstrating improved detection accuracy and reduced response time. The findings suggest that integrating thermal imaging with existing driver- assistance technologies can significantly enhance situationalawareness, mitigate accidents, and improve road safety for heavy vehicle operations. Potential applications extend to fleet management and automation in transportation

Keywords

Blind Spot Safety, Heavy Vehicles, Machine Learning, Object Detection, Thermal Imaging.

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