The new AutoVu SharpZ3 goes beyond traditional license plate identification and brings new levels of insight in vehicle analytics, situational awareness, and accuracy, according to the company. Ideally suited to meet the needs of parking managers who use mobile ALPR as part of their enforcement activities, the new SharpZ3 can help them track the types of vehicle (car, van, truck, bus, motorcycle) in parking lots or around the city, and analyze the evolution of the mix of vehicle types over time. For law enforcement officers who use mobile ALPR to aid investigations, the SharpZ3 allows patrols to flag vehicles based on vehicle type and color where no license plate was identified by a witness. The system uses Intel’s latest machine learning and computer vision technology to unlock new insights through analytics. It will not only be able to improve the accuracy of license plate reads in difficult environments (such as bad weather, heavy traffic, and fast speeds), but will also be able to record additional vehicle characteristics such as vehicle type, color and more in real-time and without requiring large amounts of bandwidth.

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