Detection of Number Plate using Yolo

This model is proposed to Automatically detect the number plate of vehicles. It uses YOLO You Look Only Once algorithm in order to detect the license plate. It takes the image as an input and puts it through Neural Network , then gives the output with bounding boxes. The method proposed here have some benefits over the traditional methods of detection of object. Yolo is really fast and efficient to handle detection of objects and it detects objects at a high speed up to 155 frames per second. Importance of automatically detecting number plate is that there are many fraud activities happening around us, to eliminate this mainly and then, also to retrieve vehicle details later after detecting the number plate. It detects the number plate and then make recognition or identify the license plate from the source image, which is called as image processing. This also works for number plates of different regions, it can detect for both grayscale as well as colour images. Also images can be captured by webcam and license plate can be detected. Number plates maybe broken sometimes, this model detects for broken ones also. It is also practical because of the low computational cost. It also has high accuracy and real time performance. Anagha Jayakumar TN | Dr. S. K Manju Bargavi "Detection of Number Plate using Yolo" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41286.pdf Paper URL: https://www.ijtsrd.comcomputer-science/artificial-intelligence/41286/detection-of-number-plate-using-yolo/anagha-jayakumar-tn