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.
An example is detecting car license plate numbers from traffic camera images
A variety of options for VIVOTEK cameras provide the user the optimal and most suitable camera for their LPR or traffic monitoring purposes
Milestone VMS Integrated ALPR License Plate Recognition System for Vehicle Identification with DB Storage Management for faster License plate capture cameras can produce usable images from vehicles traveling at 120 mph (190 km/h). To maximize the chances of effective license plate Cameras with LPR capabilities can automatically read license plates of passing vehicles. For efficiency security and improved service levels. Reliable license For 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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