VEHICLE DETECTION FROM VIDEO SEQUENCE USING DEEP LEARNING TECHNIQUE

Abstract: This research focuses on moving object detection technique by using deep learning algorithm. The research is helps to identify the parameters of vehicle from video. Deep learning algorithm YOLO "You Only Look Once", it maintains high accuracy in detecting multiple objects within a single image. Thony python IDE is specially designed for vehicle detection, you can definitely use it to write and run python scripts for vehicle detection. This algorithm has been trained with Open Images image dataset of 170 images of vehicles and tested on 4 different videos. The primary goal and target of this paper is to rectify the challenges in the system should be able to detect the vehicles from videos Keywords: Thony python, My SQL connector, Neural Networks, Deep Learning technique, vehicle detection, OpenCV, YoLo, python programming. Title: VEHICLE DETECTION FROM VIDEO SEQUENCE USING DEEP LEARNING TECHNIQUE Author: Dr. D. Sri Hari, P.Iswarya, P.Sudharsan, P.Rakesh, P.Tejaswini, P.G.Sucharitha International Journal of Electrical and Electronics Research ISSN 2348-6988 (online) Vol. 13, Issue 2, April 2025 - June 2025 Page No: 1-5 Research Publish Journals Website: www.researchpublish.com Published Date: 01-May-2025 DOI: https://doi.org/10.5281/zenodo.15321741 Paper Download Link (Source) https://www.researchpublish.com/papers/vehicle-detection-from-video-sequence-using-deep-learning-technique