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The role of artificial intelligence systems in license plate recognitionBog'liq m121.2 The role of artificial intelligence systems in license plate recognition
AI-powered license plate recognition systems have become commonplace. We can witness their wide adoption in law enforcement, border control, defense, and security. According to PMR, the global market for automatic number plate recognition systems, valued at US$ 3.1 billion in 2022, is expected to reach US$ 6.8 billion in 2032. The high demand for intelligent LPR systems is due to the wide range of benefits this technology can offer its users. They not only help to enhance security but also improve the customer experience and reduce costs. Governments also contribute to market growth by increasing funding for intelligent transport systems.
Pic 1. 2. 1 Automatic Number Plate Recognition system
License plate recognition (LPR) is a computer vision technology that uses optical character recognition (OCR) and machine learning algorithms to read license plate numbers and automatically identify vehicles. For this, LPR systems use images or videos from multiple cameras. They also collect data, which is further processed and analyzed by matching it with integrated databases, security systems, traffic management systems, or parking management systems.
Due to AI, this process is fast and accurate. Algorithms are trained on a dataset of thousands of different images coming from various sources and of varying quality. This helps to increase the performance, accuracy, cost-efficiency, and scalability of license plate recognition software. Advanced LPR systems like Scylla have a high accuracy rate of more than 99.7% and can recognize plates from multiple cameras on fast-moving cars in real time. They can operate under challenging conditions, such as poor lighting, glare, and extreme weather. It can seamlessly integrate with existing video management systems and include such a valuable feature as access control that can automatically authorize or deny access to secured areas based on vehicle license plate numbers.
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