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Post: AI and Machine Learning Are Transforming License Plate Recognition. Here’s How.

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AI and Machine Learning Are Transforming License Plate Recognition. Here’s How.
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Enhancing accuracy and enabling new functions and capabilities through AI and ML represent a leap forward in LPR systems and operations. Adobe stock image by Jan. Artificial intelligence (AI) and machine learning (ML) are rapidly transforming business processes across all sectors, enabling greater personalization, automation and insights in diverse areas.

The world’s top organizations are investing heavily in developing next-generation AI solutions, sparking an innovation race across every industry. AI promises to revolutionize everything from manufacturing and healthcare to retail, education and cities as organizations look to find new ways to apply these technologies to boost productivity and efficiency.

The security industry’s license plate recognition (LPR ) technology — a system designed to automatically read vehicle license plates — is no exception . From enhancing accuracy to enabling new functions and capabilities, these advancements represent a significant leap forward in LPR systems and operations.

Initially developed for vehicle monitoring through narrow pinch points, LPR systems use cameras and software to detect, read, and store license plate information from passing vehicles. This technology combines image capture with processing algorithms to convert images into alphanumeric characters.

——Article Continues Below—— Get the latest industry news and research delivered directly to your inbox. With recent AI and ML advances, LPR solutions continue to improve in processing speed and usability. Today’s solutions deliver higher accuracy rates, greater flexibility across a diverse range of operating environments, and seamless integration with a wide selection of camera and third-party software integration options. LPR Technology Can Now Capture More Information

In addition to capturing license plate numbers, today’s smart LPR systems can extract vehicle details like make, model, and color. Many cities use this technology to detect stolen vehicles, combining descriptive features with license plate data, increasing accuracy, and reducing false positives.

The increased accuracy and scope of detectable information gives organizations enhanced search, analysis, and real-time monitoring tools. From forensic investigations to proactively identifying vehicles of interest, LPR offers indispensable support across many user sectors.

Related Article: Video Surveillance Survey Finds AI, the Cloud, and LPR Gaining Traction on Campuses

Healthcare facilities, for example, use LPR for patient/visitor parking and for […]

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