STANDALONE NUMBER PLATE RECOGNITION SOFTWARE
Looking for a simple desktop app to transform any video stream into ANPR results? Now you can easily create your own system, without the need for ANPR integration. Capitalizing on our 27 years of in-depth background knowledge, we used smart engineering to save you time and effort. We have created the easy-to-use and intuitive CARMEN®
GO, the plug-and-play ANPR application. Setup only takes a few clicks: link your live video stream input to CARMEN®
GO and you will get car plate data directly from the stream. In fact, up to 8 streams can be connected to a single license.
GO is a camera independent solution, since it can accept the streams of any IP camera from any vendor. CARMEN®
GO uses the same industry leader CARMEN®
ANPR engine that is at the heart of top ANPR/LPR systems around the world. At the same time, it offers the unrivalled benefit of self-adjusting settings to achieve optimal results. This is how we can make sure that CARMEN®
GO produces the best possible result based on the given stream.
An innovative and extremely practical feature of CARMEN®
GO is a purely image based vehicle detection (VehDet) algorithm. This self-learning mechanism has multiple functions. Firstly, it signals the presence of a vehicle in the stream for the ANPR engine. In practice, it makes other vehicle sensors – or triggers – unnecessary. VehDet saves time, costs and efforts. Secondly, VehDet assists the ANPR process by estimating vehicle position, license plate size, traffic direction, view of angle and plate distortion. These values are likely to remain constant for the given stream. Automatically optimized settings make ANPR faster and more reliable. A third advantage of VehDet is a no-lost-event operation. As the algorithm is seeking vehicle shapes rather than car plates in the video steam, it will be able to document passing vehicles with no plate, damaged plate or illegible plate.
GO is our most user-friendly Automatic Number Plate Recognition product yet. Discover more at www.carmen-go.com