AutoVu™ Machine Learning Core (AutoVu™ MLC) - SharpV | SharpOS 12.6

AutoVu Handbook for SharpV Fixed Installations 12.6

Applies to
SharpV | SharpOS 12.6
Last updated
2019-03-27
Content type
Guides
Guides > User guides
Language
English (United States)
Product
SharpV
Version
12.6

LPR Processing Units running SharpOS 12.5 or higher use machine learning to classify license plates and to perform character recognition.

Although off-the-shelf machine learning solutions are commercially available for LPR, 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 existing LPR Processing Unit hardware. As a result, depending on the regional contexts, you can expect up to a 50% reduction in plate capture errors and character recognition errors when compared to widely used classical algorithms. 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 LPR process. You will be able to take advantage of these improvements with future SharpOS releases.