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Smart City – Grasps increasingly complex, real-time urban conditions with AI, supercomputer technology

Parking Analysis

parking management in a smart city

By applying AI to image analytics, Fujitsu has invented a way to extract various pieces of information automatically from video frames. Moreover, by utilizing HPC competencies in analyzing high-volume, high-speed video, we have taken on the challenge of visualizing and understanding the city-wide real-time movements of vehicles and people.

One use case is the parking analysis. With this, 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, 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.

By combining this solution with Citywide Surveillance, even more sophisticated parking management can be achieved, such as managing more detailed vehicle data, including types of cars and license plate numbers, or monitoring vehicle break-ins.

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  • […] co-creation of a sustainable society. And in China, Fujitsu Laboratories has developed a technology for real-time smart city monitoring, using image recognition with AI technology. We also announced a major new initiative with Siemens […]

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