ACCIDENT PREVENTION SYSTEM USING IMAGE PROCESSING
Sridhar S, Dikson M, Ashok Kumar N , Vipin P, Mrs. S. Jayashree
Electrical and Electronics Engineering
SNS College of Technology
Coimbatore, India
Abstract: The development of an accident prevention system using image processing technology is a crucial area of research for ensuring the safety of individuals on the road. In recent years, there has been a significant increase in the number of accidents that occur due to obstacles on the road. These obstacles can be anything from pedestrians to animals, and their presence on the road can be challenging for drivers to detect and avoid. The proposed project aims to develop an accident prevention system that uses image processing technology to recognize obstacles on the road and alert drivers in real-time. The system will use a camera mounted on the front of the vehicle to capture images of the road ahead. The images will be processed using computer vision techniques to identify any obstacles in the vehicle's path. The system will also have the ability to calculate the distance between the vehicle and the obstacle, enabling it to provide early warning signals to the driver. In addition, the system will be able to detect the speed of the vehicle and adjust the warning signals accordingly. The proposed system will be designed to work in all lighting conditions, including low light and adverse weather conditions. The system will be able to detect obstacles at a distance of up to 100 meters, providing ample time for the driver to take appropriate action. The proposed system has the potential to significantly reduce the number of accidents caused by obstacles on the road. The system will provide drivers with real-time alerts, enabling them to react quickly and avoid potential accidents. The system will also be cost-effective and easy to install, making it an attractive option for vehicle manufacturers and owners.
Keywords – Accident prevention system using image processing, Image processing, OpenCV, Accident, Accident prevention system for Electric Vehicles.
