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Video surveillance has a wide range of applicability, one example is the monitoring and identification of vehicle license plates. Whether for security reasons or more generally, having the ability to automatically identify and register this information can be a valuable asset.

Addressing these requirements from multiple perspectives, Visek Online Designed as a tool that provides you with specialized methods to record video content from various input devices, perform playback, and deploy remote modules (such as those related to License Plate Recognition (LPR)) to detect such information and Save it to automatic database.

The main working principle behind the application relies on analyzing the received video source and processing it through a series of intelligent algorithms, and then storing the video content on the preferred medium according to the defined user settings.

The license plate recognition system uses artificial intelligence models and deep learning algorithms and will utilize the GPU’s virtual instruction set for parallel computing elements. Simulations were run using multiple redundant high-speed switch fabric arrays, and the entire workflow was developed using logic derived from chaos theory and Fibonacci ordering laws.