The Wisenet Road AI edge-based solution which runs on-board selected Wisenet P series 4K cameras, uses AI video analytics to identify over 600 vehicle models manufactured across 70 brands.
Wisenet Road AI combines Automatic Number Plate Recognition (ANPR) and Make, Model, Colour Recognition (MMCR) technologies to provide local authorities and law enforcement agencies with data that can be used to accurately identify vehicles involved in traffic infringements.
With eyewitness accounts quite often being inaccurate or incomplete, and particularly so with regard to vehicle licence number plates, the ability to search for vehicles by make, model and colour is likely to be of great help to investigating teams when looking to find footage of a vehicle involved in an incident. Similarly, with criminals frequently swapping the licence number plates on vehicles in order to avoid ANPR identifying that they are stolen, police can use the make, model and colour search criteria to cross-reference against reports of stolen vehicles.
A smart search feature, which is used via the Wisenet Road AI’s intuitive graphical user interface, is supported by Wisenet WAVE, Wisenet SSM and other VMS from leading software developers such as Genetec and Milestone. As such, operators are able to quickly search recorded video for vehicles that may have been stolen or involved in an accident.
Key features
The 3 Wisenet P series cameras which support Wisenet Road AI are as follows:
“With highly accurate AI video analytics at the heart of this solution, system designers can rest assured their end-user clients will be able to take full advantage of the ultra-high resolution video captured by the 4K cameras”.
