What is the composition of the license plate HD recognition machine?

The license plate recognition machine is mainly composed of embedded license plate recognition algorithm core, 2.8~12mm automatic zoom lens, IP66 protection grade metal shield, in-line fill light, main board, power supply, terminal block and other electronic components, among which the algorithm most important! A good license plate recognition product needs to match the algorithm of recognition rate and stability.

Now in the market, the one machine is better done in the Huiteng door industry, the recognition rate is relatively high, and the license plate recognition machine is well-known in the industry. The opposite of hard recognition is soft recognition, but the group that soft identification mainly faces is a company with secondary development capability.

The license plate recognition system works:

(1) Vehicle detection: Buried coil detection, infrared detection, radar detection technology, video detection and other methods can be used to sense the passing of the vehicle and trigger image acquisition and capture.

(2) Image acquisition: Real-time, uninterrupted recording and collection of passing vehicles through the high-definition camera capture host.

(3) Pre-processing: noise filtering, automatic white balance, automatic exposure and gamma correction, edge enhancement, contrast adjustment, etc.

(4) License plate location: Perform a row and column scan on the grayscale image after image preprocessing to determine the license plate area.

(5) Character segmentation: After the license plate area is located in the image, the character area is precisely positioned by graying, binarization, etc., and then the character segmentation is performed according to the character size feature.

(6) Character recognition: The segmented characters are scaled and feature extracted, and matched with the standard character expression form in the character database template.

(7) Result output: The result of license plate recognition is output in text format.