IntelliVision, a pioneer and leader in AI/deep learning video analytics software for smart cameras, announced that the latest version of its license plate recognition (ANPR) and detection software, which uses a combination of AI, CNN (convolutional neural network) and deep learning, has achieved accuracy numbers as high as 99% in real-world customer environments.
IntelliVision, a pioneer and leader in AI/deep learning video analytics software for smart cameras, announced that the latest version of its license plate recognition (ANPR) and detection software, which uses a combination of AI, CNN (convolutional neural network) and deep learning, has achieved accuracy numbers as high as 99% in real-world customer environments.
“We have been continuously improving our LPR/ANPR technology for a number of years, as part of our AI and deep learning-based video analytics software,” said Vaidhi Nathan, IntelliVision’s CEO. “We are now achieving accuracy of up to 99% in countries as diverse as the U.S., Mexico, Germany and India and not just in the lab.”
IntelliVision’s License Plate Recognizer (LPR/ANPR) has performed and matured over many years of application, taking into account variables such as movement and high speeds which are natural to the environment of vehicle monitoring. Using still images or video feeds, the product can recognize and capture information located on license plates and automatically log this information for future inspection. Real-time searching can also be performed on each plate detected, comparing the information gathered with a stored database of license plates. IntelliVision’s License Plate Recognizer is part of a portfolio of products for Smart City, Smart Auto and Intelligent Transportation Systems (ITS). IntelliVision products are in over 3 million cameras worldwide, including 15,000 cameras at 3,000 intersections in the United States, taking the place of under-street induction loops.
Product Adopted:Surveillance Cameras