There is a significant need for establishing visual object recognition systems at a time when robberies, thefts, and other crimes are occurring increasingly frequently. These systems have already acquired popularity and are present in all supermarkets and controlled structures. However, since video quality and optical sensor quality in general continue to improve year over year, it is no longer sufficient to merely capture the video stream on a storage medium. To make the most of the storage memory and ensure that the
system operates automatically without the operator's input, the video must be preprocessed. The solution to the issues mentioned above is the intelligent video monitoring system of the license plate contour proposed in this study. A system that automatically locates the coordinates of the license plate, highlights it, and recognizes the characters on it was developed using a combination of techniques for object detection in the image such as template matching, contour detection, and feature detection. This system has good accuracy and speed, can be installed statically or be mobile, and does not require expensive equipment or computing resources to function. Additionally, during the course of the work, it is possible to learn about the importance of solving such a challenge, currently used algorithms for work realization, theoretical information, and experimental system work results.
