Number Plate Detection Using Drone Surveillance

Drones, or unmanned aerial vehicles, have a wide range of uses in a variety of sectors. Surveillance, photography, surveying physically difficult locations, and traffic patrols are some of the applications. License plate detection and identification by utilizing UAV s based video streaming is one such scenario on which we have engaged. Recognizing license plates in drone photographs is a difficult task since the images may be distorted, blurred, or contain background noise such as other cars, banners, or people. The automatic license plate detecting system is a well-established system in which the majority of research has been conducted. These approaches, on the other hand, concentrate on photographs taken from the front. The suggested study is limited to a subset of drone photos. We examined multiple state-of-the-art methods like Wpodnet and yolov5 for detecting license plates in subsets of drone images in this paper.