One of the main specializations of our company is Computer Vision.
Among our projects in this area there is a solution for a corporate parking lot. The idea is that the parking lot cameras find the license plates on arriving cars and the gate bar opens for the cars with authorized license plates only.
As the first step of this work, we had to develop a solution which would be able to detect and read the car’s license plates.
To handle these challenges, we used a special library which was strictly focused on license plate recognition. But using that special library was not enough. Our developer had to customize and set it up so that the system would be able to detect a license plate in general and define its combination of letters and numbers.
Currently we have a script which takes a car picture on the input, processes it inside, recognizes the license plate, and, as an output result returns a car picture with marked license plate and its content above. The script provides a high quality of recognition in most cases.
The main advantage of this script is that it can be used in any kind of application, i.e. web, mobile, desktop.
Image processing // Mapping // Computer Vision
OpenCV // OpenAlPr // NumPy