ALPR using machine learning - SharpZ3 | SharpOS 13.1

AutoVu™ SharpZ3 Deployment Guide 13.1

Applies to
SharpZ3 | SharpOS 13.1
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Guides > Deployment guides

Sharp systems running SharpOS 13 use machine learning to classify license plates and to perform character recognition.

AutoVu MLC™

AutoVu MLC™ (Machine Learning Core) replaces traditional rule-based ALPR technology with machine learning-based algorithms to reduce common ALPR misreads and false positives. It is a proprietary technology of Genetec Inc. used in AutoVu™ Sharp hardware for license plate recognition.

Although off-the-shelf machine learning solutions are commercially available for ALPR, their results can be unpredictable. With our hardware and software engineering expertise, we have built the AutoVu MLC™ from the ground up. This includes developing a deep neural network (DNN), training the system with Sharp camera images, and optimizing the system to run on AutoVu™ hardware. The AutoVu MLC™ represents a significant reduction in the time that operators spend manually correcting plate reads.

As the AutoVu™ MLC continues to develop, we will apply it to more aspects of the ALPR process. You will be able to take advantage of these improvements with future SharpOS releases.