Canadian Manufacturing

Genetec announces a new ALPR camera

by CM Staff   

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The camera is built to deliver machine learning-based ALPR and vehicle analytics on the edge.

New generation of Genetec SharpV ALPR cameras features higher-resolution sensors, motorized lenses with auto-focus, and machine learning-optimized processor.

MONTRÉAL — On Aug. 10, Genetec Inc., a technology provider of unified security, public safety, operations, and business intelligence solutions, announced the next development of its AutoVu™ SharpV ALPR (automatic license plate recognition) camera. This new version provides a fixed ALPR solution that can be deployed anywhere. It is built to deliver machine learning-based ALPR and vehicle analytics on the edge.

Designed for fixed ALPR installations, the new SharpV can be up and running quickly, thanks to multiple features like embedded 4G/LTE/ GPS and motorized lenses with zoom and auto-focus. It is ideally suited for a range of applications, such as monitoring entries and exits, capturing license plates at high-speed on city streets and highways, managing off-street parking lots and facilities, as well as covering major city access points for wanted vehicles.

The new camera features AutoVu MLC™, an onboard machine-learning based ALPR engine, which has a full suite of advanced vehicle analytics that include vehicle classification, color recognition, travel speed estimation, and direction tracking. The onboard machine learning VPUs (Vision Processing Units) also pave the way for new vehicle characteristics and behavior analytics, which will be introduced in the future.

“ALPR is an essential part of many organizations’ toolkits. It can be used to gather operational and investigational insights to help solve crimes, enforce parking regulations, and track traffic patterns in dense urban environments,” said Stephane Varin, Product Manager, AutoVu, Genetec, Inc. “The new SharpV is easier to deploy, can cover a wider field of view, and provides more data about vehicle identification and behavior.”



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