VEHICLE IDENTIFICATION MANAGEMENT APPLICATIONS
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 organizations. It becomes possible, for instance, to improve entrance management to schools, offices and factories, or to implement congestion charging strategies in city centers.
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.
RECOGNIZE VEHICLE NUMBER PLATES IN REAL TIME
The NueCam 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 recognized and stored, an appropriate action is taken, such as opening a gate, adding a cost, or generating an alert.
NueCam’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 color. 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.
Loyal VIP customers are enormously valuable to commercial entities, but service staff cannot always identify them immediately. Intelligent facial recognition cameras, however, can provide unique opportunities that were previously unavailable. When customers choose to participate in VIP programs, marketing promotions or other incentives, facial recognition technology will give retailers accurate tools to identify VIPs and loyal customers so staff can provide the right kind of service at the right time. NueCam facial recognition can create new possibilities to optimize your next marketing program.
Entrance & exit management
Parking lot management
Traffic violation management