Vol 13 Issue 2 April 2025-June 2025
Dr. D. Sri Hari, P.Iswarya, P.Sudharsan, P.Rakesh, P.Tejaswini, P.G.Sucharitha
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
