| Popis: |
In the trending fast pace lifestyle, we all are moving and tend to be moving faster. However, moving faster has its own limitation and advantages too. In the case of vehicles, road accidents are more common due to fast travelling. During the year 2022, the total of 3.6 lakh road accidents happened. To control the road accidents, we need to spot the reason and origin of the accident and in maximum cases it is because of violation of traffic rules. To automatically detect the violation of traffic rules, we use techniques like YOLOv5, OpenCV, CNN, etc. In our project we use YOLOv5 algorithm to detect vehicle which performs traffic violations and then we extract the details from the vehicle’s number plate using OpenCV. Once we find the details of vehicle, we can able to spot the person who violated the traffic rules and the further formalities like sending summon to his/her address can be done. We use YOLOv5 because it is an algorithm which detect objects in real time and it has more pros like smaller in size, faster, accurate, simple and reliable than the rest of the versions of YOLO. |
