Fujitsu has developed software solutions that identify images shot from surveillance cameras deployed throughout a city or a facility, using high-speed image processing technology cultivated with its Human Centric AI Zinrai artificial intelligence and supercomputer technologies. FUJITSU Technical Computing Solution GREENAGES Citywide Surveillance software, which enables a real-time understanding of urban conditions, and FUJITSU Technical Computing Solution GREENAGES Parking Analysis software for intelligent parking management, will be available for sale in Japan from today.
Using image analysis that employs AI technology, Citywide Surveillance automatically extracts a variety of data from surveillance camera images, such as the type or make of vehicles, or the type of clothing someone is wearing, giving users a real-time understanding of movements throughout an urban environment. Fujitsu's AI experts is also offering its customers AI learning services with expanded image analysis capabilities, built on highly accurate recognition models.
Parking Analysis supports improved management efficiency of parking lots or garages by ascertaining which parking spots are open or monitoring no-parking zones in real time.
The Citywide Surveillance can ascertain such characteristics as the make of a vehicle or the type of clothing someone is wearing:
- Vehicle identification: Ascertains the type, color, make, and model of vehicles.
- License plate identification: Reads the license plate numbers of vehicles.
- Human identification: Ascertains color and clothing type worn on the upper and lower body.
- Counting vehicles or people: Counts vehicles by type or people, recording the time of detection.
- Facial recognition: Automatically tracks and searches a person's face, and detects faces that have been registered in advance.
With Parking Analysis, the status of up to 100 parking spots per surveillance camera can be ascertained in real time. In addition, for cases where wide-area monitoring cannot be performed, such as an indoor parking garage, images can be used to count vehicles as they enter and exit, and the number of open spots in each zone can be calculated.
As a result, potential customers who operate parking lots can use this service for a variety of objectives, including for such improved services as enabling smartphones to determine availability of open parking spaces, enhanced security by monitoring no-parking zones or cars that are parked for long periods of time, and smarter marketing, such as optimizing earnings by setting parking rates in accordance with the number of open parking spots.