The Platebber License Plate Recognition API returns car registration plates text, confidence score, and timestamp from a still photo.
Although the API is intended for software developers, there is a license plate recognition online application that may be used to check the input and output JSONs of the API.
Some recommendations to use the Platebber API:
It is better to use properly exposed, unobstructed JPEG photos at 1920x1080 (Full HD resolution) where the ratio between the height of the license plate and height of the entire picture should be at least 1:15.
For ratios like 1:16, 1:17, 1:18 and so on, the accuracy is lower and the AI algorithm may not see and read the license plate and the number on the registration plate. Platebber does not store pictures.
The quality and the angles of the LPR camera contribute to a higher reading accuracy. It should have varifocal lenses, high shutter speed, good infrared lighting beam, and full HD resolution.
The following is a list of how-to and tutorial content that matched your search term. ProgrammableWeb's how-to content comes from two sources; full-blown tutorials that we publish ourselves and other highly relevant tutorials that we find elsewhere on the Web. This list represents on combination of both tutorial types and if you go to ProgrammableWeb's API University, you'll not only be able to find more, they are organized based on your role (API providers or developers who consumes APIs). If you know of a tutorial that would be of interest to the ProgrammableWeb community, we'd like to know about it. Be sure to check our guidelines for making contributions to ProgrammableWeb.