Genetec Inc. (“Genetec”), a leading technology provider of unified security, public safety, operations, and business intelligence solutions, today announced the next generation of its AutoVu SharpV ALPR (automatic license plate recognition) camera. This new version provides a future-proof fixed ALPR solution that can be deployed anywhere easily. It is built to deliver machine learning-based ALPR and vehicle analytics on the edge, ensuring high performance in all conditions.
Designed for fixed ALPR installations, the new SharpV can be up and running in minutes, 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.
With built-in illuminators, global shutter, and high-resolution sensors, the SharpV provides crisp, accurate, and greater than Full HD images at all times: day or night, in slow local traffic, or on fast highways. Featuring ultra-wide sensors, the updated SharpV can capture license plates across two lanes of traffic with no loss inaccuracy. This means fewer devices are needed to cover more locations, reducing the total cost of ownership.
Featuring AutoVu MLC, a powerful onboard machine-learning-based ALPR engine, the new generation of SharpV goes beyond license plate identification with a full suite of advanced vehicle analytics that includes vehicle classification, color recognition, travel speed estimation, and direction tracking. The onboard machine learning VPUs (Vision Processing Units) also paves the way for new vehicle characteristics and behavior analytics, which will be introduced in the future.
The new version of AutoVu SharpV also greatly simplifies installation and maintenance. The motorized lenses enable zoom and auto-focus to be adjusted remotely at the time of installation and during routine maintenance.