In terms of scalability, all analytics are implemented in the cloud, which greatly enhances the flexibility and scalability of video analytics. More analysis content can be expanded according to user needs.
In terms of cost investment, "Scorpio" is different from traditional video analysis functions. It does not have any special requirements for the definition of the ip camera, making full use of the city's existing monitoring facilities, even if a lot of old equipment such as analog and SD can be completely applicable to avoid the economic burden brought by large-scale monitoring equipment updates to the city.
At present, Scorpio has been able to control 249 road monitoring domes in the pilot area, covering more than 700 road sections, releasing about 200 patrol police, and being able to do 24 hours a day, 365 days a year that manual patrols cannot do. In 2018, the City Brain project in Hangzhou is expected to access 1,700 video cameras, covering 43% of the city's road range. After going online, surveillance coverage areas will not require manual patrols anymore.
"Scorpio" was successfully launched. Thanks to the world-leading video recognition technology behind it, on the basis of the existing traffic monitoring dome equipment, it achieved the automatic monitoring and automatic navigation of the dome camera through deep learning, video recognition, and cloud computing technologies. The patrol function enables optimal deployment of the police force through machine substitutions.
Dr. Hua Xiansheng, head of Hangzhou City Brain machine vision and deputy director of the Alibaba Machine Intelligence Laboratory, said that the City Brain is the only artificial intelligence system in the world capable of performing full-scale, real-time analysis of the entire city's full-scale video. One of the innovation platforms that helps traffic management is just the starting point. In the future, it will attract more top research institutions to participate in innovation and solve more problems in urban governance.
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