International Research Journal of Education and Technology

Deep learning's recent advancements have opened up a slew of new possibilities for solving the challenge of vehicle detection. Night vehicle detection has been a tough problem that has become a threat to safe highway driving. To address the problem, we propose this framework based on Image Processing that will recognise nighttime cars and allow us to effectively tackle the problem. Scientists are interested in detecting items in low-light situations. We chose night as the challenge in this project to determine the type of vehicle and also to detect theft vehicles by using the number plate. To enhance the image, image preprocessing procedures such as contrast stretch, RGB to grey scale, filters (gaussian, canny edge, median), and HSV-channel were employed. k-means image segmentation.