Genetec AutoVu Advanced Vehicle / LPR Analytics

Author: Ethan Ace, Published on Jan 12, 2015

Genetec has enhanced their AutoVu LPR platform with a new suite of "Advanced Vehicle Analytics", including speed, direction and make / state of vehicles.

In this note, we look at applications for these analytics, limitations, price points and potential impact.

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Analytics *********

** **** *** *******, ******* *** ***** **** ********* ** AutoVu:

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Hardware *******

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Positioning ******

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Comments (3)

*** ***** ********* **** **** ********* *** * *****, *** has ****** ****** **** **** **** *'** ****. *** ***** cameras *** *** ******* ** ******* *****, ** *** ****** are ***/***'* **** ** **** ******.

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********* ***** *********, ** ******* ******, ***** **** ****** ** a ***** ****/***** ****** ** *** ***** *********** (**** ** in **** ***** ************). ** ** ********* ** ** **** to ******* * ****** ** ***** ********* *** ******* ***** measurement.

***** *********** ******** ***** **** **** ******** *** *** ******** are:

Detecting * ******* ******* * ******* *****. The algorithm will track the vehicle in the scene and determine that it does not have a front or a back plate. This particular feature is very important for local police as different states have different laws regarding if plates are required in front/back or both. Also police will be concerned with stolen cars without plates. In addition, license plate recognition based parking facilities also have found this feature pertinent.

Software ***** ******* *********. This feature is key as a lot of LPR software companies require the installation of physical sensors to detect the presence of a vehicle. This off course is a huge cost factor, especially in installations with many LPR cameras. The LPR software should be able to detect the presence of a vehicle using tracking algorithms. Installation of sensors can still be supported as an option.

Recognition ** ****** ****. If there is a part of the image that vehicles do not pass through, or that is causing false positives, that area can be masked out. In this case the remaining portion of the image will be analyzed for license plates. This will potentially increase recognition results and lower processing load.

One ********** – ******** ****** *********. This feature can be used for car/truck inspection stations. As one camera recognizes the license plate, and the other cameras installed on different sides of the vehicle can be automatically triggered to record. So video from all the cameras in the 1 inspection lane will be synchronized.

Lane *******. If the camera used provides enough area of coverage and resolution, one camera can potentially be used to recognize plates from multiple lanes. This off course highly replies on the camera installation – which should be an overhead view with the vertical angle not exceeding 45%.

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