Bike-sharing： AI empowers two rounds of travel ＂I am no longer the original me＂

　　Intelligent dispatch can also solve crimes.

Argus intelligent visual interactive system put into use in Minhang District, Shanghai, transmits pictures.

　　On the big screen, there is a real-time picture of the side of Zhongchun Road subway station in Minhang District, Shanghai. Ren Liangliang, vice president of Hellobike R&D, told the reporter that this is the Argus intelligent visual interactive system that was just put into use in Minhang District in May this year.

　　Based on image recognition technology, AI analysis and other technologies, the system can identify, intelligently judge and manage various bike-sharing and social vehicles in the area in real time, realize the dynamic balance among the total number of bicycles, riding demand and parking management, and help solve the problems of over-parking, random parking, vandalism and so on.

　　Ren Liangliang introduced that when the total number of bicycles in a certain area is too large, vehicles are parked out of bounds or parked indiscriminately, the system will automatically send orders to the operation and maintenance personnel for adjustment. "In the past, a point needed a fixed-point operation and maintenance personnel, but now it has become machine decision-making and intelligent dispatch. A fixed-point operation and maintenance personnel can manage seven to eight points nearby, greatly improving work efficiency; For government managers, it is possible to manage the city appearance of the area through macro video, judge whether the bicycle management in this area is neat, whether there are operation and maintenance personnel to follow up, and whether there are other uncivilized behaviors, and use technical means to reduce government management costs and improve government management efficiency. "

　　Sometimes the battery will be lost in the parking area. When the police file a case, they need to view the video frame by frame, which is like looking for a needle in a haystack, and the efficiency is very slow. The system of Harrow’s trip can help the police improve the efficiency of solving crimes.

　　Ren Liangliang explained from a better understanding point of view that if an algorithm is implanted in the system, as long as a person’s body is squatting or lying in a place for 30 seconds, it will be considered a suspicious behavior. Point out which video is suspicious when providing it to the police, and the police only need to confirm it for a few minutes.

　　The parking posture is wrong, please try again!

Adaptive Bluetooth electronic fence independently developed by Hello.

　　Facing the problem of disorderly parking in bike-sharing, Hellobike has introduced the industry’s first application-level adaptive Bluetooth electronic fence to guide users to park in a specified area in an orderly manner and realize intelligent management of bicycle parking.

　　"When it is recognized that the bicycle is not parked in the designated area, the smart lock will automatically bounce off." Xing Shuai, a staff member of Hellobike, said that the success rate of sub-meter test of this technology has reached more than 95%, and it has been applied in more than 10 cities such as Shanghai and Nanchang.

　　Travel enterprises rely on technological innovation to make efforts in the application of big data, artificial intelligence, data analysis and other technologies, optimize travel configuration and improve travel efficiency, which can provide effective solutions for future traffic problems.

　　On August 29th, Hellobike officially released the latest iterative and upgraded intelligent system-"Hello Brain 2.0", which promoted the intelligent decision-making of full-link operation for two rounds of hello travel. Yang Lei, CEO of Hellobike, said that this marks that Hellobike has entered a new stage of two rounds of full-service intelligent operation, and artificial intelligence has become a powerful driving force for the development of two rounds of travel. Hello will continue to invest in artificial intelligence and continuously improve its independent research and innovation capability, with a view to playing a greater role in the future urban intelligent transportation construction.