https://www.hikvision.com/en/core-technologies/deep-learning/vehicle-identification/

VEHICLE IDENTIFICATION MANAGEMENT

Improving traffic flow, traffic management, and vehicle and site security


The ability to identify vehicles can provide major benefits for local authorities, businesses and a range of other organisations. It becomes possible, for instance, to improve entrance management to schools, offices and factories, or to implement congestion charging strategies in city centres. Vehicle recognition technology also supports a wide range of Traffic Management solutions that keep vehicles moving in busy urban areas, improve road safety and speed up responses to road traffic incidents and offences. As of now, this technology is mainly reflected on vehicle number plate recognition and vehicle feature recognition.

RECOGNISE VEHICLE NUMBER PLATES IN REAL TIME


The Hikvision ANPR application captures a vehicle’s license plate in real time, compares or adds it to a pre-defined list. Once a number plate has been recognised and stored, an appropriate action is taken, such as opening a gate, adding a cost, or generating an alert.

RECOGNISE VEHICLES


Hikvision’s vehicle recognition feature uses a Deep Learning algorithm to distinguish between small and large vehicles, with the added ability to detect the make, model and colour. The system can be programmed to search for anomalies such as cars travelling in designated bus lanes, or vehicles driving without license plates, for example.

APPLICATION SCENARIOS


Entrance & exit management Parking lot management Traffic violation management

Entrance & exit management

Parking lot management

Traffic violation management



Published at: 14-03-2020 / 480 Views
Source edition | https://www.hikvision.com/en/core-technologies/deep-learning/vehicle-identification/