This week, the 2021 Anbo Expo and the high tech fair were held at the same time, and many AI enterprises participated in the exhibition. Many AI enterprises started from “face brushing”, but with the gradual deepening of application, the conference, including Yuntian lifeI, Lu Shenshi, Pci Technology Group Co.Ltd(600728) and other technology enterprises, showed the latest achievements of smart city and smart transportation.
Pci Technology Group Co.Ltd(600728) : automatically adjust the traffic light duration according to the traffic flow
On the big screen of Pci Technology Group Co.Ltd(600728) on-site exhibition, many information are listed in different regions: traffic congestion of each road, analysis of vehicle parking time… These information are laid out in the form of charts or data, which are constantly refreshed.
The “IDPs urban traffic brain” jointly launched by Jiadu and Fangwei constructs a digital traffic operation chassis through traffic data twinning. In the closed computing space composed of urban boundary entrances and exits, computable road network and virtual parking lot, it can recognize the dynamic and static characteristics of each vehicle, such as driving and parking, and then master each intersection, road section The macro and micro traffic state of parking lot and area, and form a new model of integrated road traffic management with high coordination of adults, vehicles and roads.
Taking Jing’an District of Shanghai as an example, the two intersections of Changde Road and Tongren Road, from the upstream zebra crossing to the downstream zebra crossing, are only about 190 meters long for vehicles to queue up. It is a “short circuit section”, which can only accommodate 63 vehicles to queue up. The time difference of green light release between the two intersections leads to “less in and more out” of vehicles in this section, causing vehicle aggregation. Even during the peak period, there are often 65 to 70 queuing vehicles from Tongren Road to Changde Road, which is easy to spill back to the intersection of Tongren Road, resulting in the tailing phenomenon of “vehicles stranded at the intersection”.
How can we change the situation of “less out and more in” in this section? Through the artificial intelligence scheme, make rational use of the phase difference between intersections, adjust the green light duration, and melt the spatial distance with the change of time point, so as to give full play to the traffic capacity and carrying capacity. During the peak hours, it not only ensures the maximum throughput, but also accurately controls the overflow. When the road section is about to be full of vehicles, the green light upstream will turn into a red light.
Lu Shenshi of : 3D face brushing payment improves inbound efficiency
Intelligent transportation has become the “Wulin conference” of major AI enterprises in the exhibition, and Lu Shenshi, a 3D vision technology solution, focused on the mature commercial achievements of “the eyes of standard machines”.
According to tractica data, the global 3D sensor and hardware subsystem market will grow from US $8.2 billion in 2017 to US $57.9 billion in 2025.
Lu Shenshi demonstrated that 3D vision technology can empower smart city, smart finance, smart home and other fields through three business landing cases of face brushing, car brushing, face unlocking and face brushing payment. Moreover, through the interactive experience of 3D face / human body recognition, it shows the capability of 3D full stack technology.
In the field of smart city, enable rail transit and provide 3D face brushing payment entry equipment for ten lines of Guangzhou Metro. Enable safe payment in the field of smart finance, provide payment giants with a full range of 3D high-precision cameras and recognition algorithms, and land offline face brushing payment scenarios. Enable smart door locks in the field of smart home, and customize and mass supply faceid camera modules for the first smart door locks of smart home leading enterprises.
Yuntian lifeI: help bus group improve 20% operation efficiency
In addition to private car travel, Yuntian lifeI also focuses on helping bus travel reduce costs and increase efficiency.
Take the bus intelligent route optimization system built for Shenzhen bus group as an example. In the past, bus dispatching mostly depended on subjective judgment, while the “deep vision” system can analyze the data such as the number of people getting on and off at each station, the commuting distance and duration of urban residents, and provide suggestions for station planning and operation route optimization.
It is reported that through this system, we have helped Shenzhen bus group improve the bus operation efficiency by about 20%. It is worth mentioning that these cameras installed above the entrance and exit of the bus can hardly capture faces, and better adhere to the principle of “minimum collection”.
If you connect artificial intelligence scenes one by one, you can find that artificial intelligence has built a “urban brain”.
At the exhibition site, Yuntian lifeI focused on the “self evolving urban agent”, and also disclosed six capability platforms for the first time – aiot access aggregation capability platform, SDC end-to-side service capability platform, data labeling and algorithm training capability platform, algorithm service capability platform, intelligent dispatching hub capability platform and knowledge map big data capability platform.
In Yuntian lifeI’s view, under the self evolving urban agent, the intelligent perception network and urban super brain provide strong technical support for smart applications, and the scene data of smart applications can feed the urban super brain, continuously improve AI technology, summarize common experience and consolidate six capability platforms, so as to build a solid technical base for the next smart application.
(South plus)
