Vehicle Number Plate Identification and Recognition of Number Plate Using Deep Learning Based on Approaches in Image and Videos

The need for improved security and effective transportation solutions is greater than ever in the quickly changing world of technology. Given the exponential expansion billion automobiles on the road throughout the previous ten years, tracking individual vehicles has grown more difficult. This research presents a novel approach to automatic vehicle monitoring by deploying security cameras placed on roads. Because it is understood that getting access to CCTV footage in real time might be a laborious procedure, this work uses an effective deep learning model the You Only Look Once (YOLO) architecture for object detection. The four main steps of the suggested method are as follows: first, the video material is transformed into photos, and next, each frame’s automobiles are identified. The number plates from the discovered cars are next identified, and lastly, the characters on these plates are identified. Our deep learning model uses the Image AI library to streamline the training process. The objective of this comprehensive strategy is to improve traffic control and security by tackling the issues brought about by the expanding automobile industry.