Automatic number-plate recognition (ANPR) is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data.
ANPR can be used to store the images captured by the cameras as well as the text from the license plate.
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PDF | Automatic recognition of car license plate number became a very important in our daily life because of the unlimited increase of cars and | Find read and
Alibaba.com offers 201 car number plate recognition cctv camera products. About 40 of these are CCTV Camera 13 are Smart Security ANPR Cameras capture images of moving vehicles enabling users to monitor registration plates. Automatic number plate recognition is commonly used by the The site shows information about car parks ongoing road works special events and footage taken from CCTV cameras. ANPR systems can be used to provide ANPR or Automatic Number Plate Recognition is a system that can be seen being usFor license plate recognition to work, your camera needs a few specific things:
- The angle of the camera is extremely important, because a camera that's installed too high cannot see the license plate
- The distance from the camera to the car must also be considered - while a camera may be able to zoom in quite a distance, you want to minimize the distance between camera and car
- Lighting is also important - whether you install lights or use the camera's built-in IR, you will need additional lighting at night
- The speed of oncoming traffic must be low enough that the camera has enough time to focus on the license plate
In addition, you'll need to pay attention to the quality of the image. To be used as legal evidence, your video may need to meet standards set by your local law enforcement; one requirement might be that the captured license plate image be at least 15 pixels tall, to ensure clarity.
Web Camera Pro application uses data vision theory to identify objects within video, search through catalogues of images, and extract information out of images.
Object detection deals with detecting instances of semantic objects of a certain class (such as a dog, a human, or a car.) in digital images and videos.
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