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In recent years, the CPC and the Chinese government have attached great importance to the modernization of the urban governance system and capacity, and various provinces and cities have successively issued policies.
On November 29, 2020, the Central Committee of the Communist Party of China explicitly proposed the implementation of urban renewal actions in the "Proposal on the 14th Five Year Plan and the 2035 Long Range Goals", with the construction of smart cities as one of the overall goals.
On August 30, 2021, the Jiangsu Provincial Government released the "14th Five Year Plan for the Construction of New Infrastructure", proposing the construction of a social comprehensive governance platform, a grid based comprehensive management, an intelligent application platform for social governance, and a social governance big data application center.
On June 23, 2022, the State Council issued the "Guiding Opinions on Strengthening the Construction of Digital Government", requiring active promotion of innovation in digital governance models, and promotion of intelligent social security prevention and control systems and smart emergency construction.
The modernization process of urban governance system and governance capacity is constantly advancing. The construction of the Xueliang Project has ended, and the construction of smart cities has entered the 2.0 stage. AI and big data enablement will become important technologies to accelerate the construction of digital cities and digital governments. With the continuous expansion of monitoring scale in cities, counties, and rural areas, the pain points of urban governance are gradually becoming prominent.
Don't understand: The video monitoring workload of city level road number cameras is extremely heavy, and human resources cannot "proactively detect" safety incidents, and can only trace them afterwards. It is difficult to improve the level of refined urban governance.
Difficulty in utilizing old resources: The cost of replacing ordinary monitoring equipment on a large scale is extremely high, and it is difficult to implement intelligent scene transformation in cities.
Lack of strict management: Traditional monitoring does not have AI capabilities and lacks a linkage mechanism with urban emergency management, making it difficult to form a full closed-loop urban management system from early warning to decision-making.
Resource occupation: The amount of urban monitoring data is huge, with a lot of useless data, serious resource waste, and low efficiency of urban governance.
Building an intelligent visual center for cities has become an urgent need to promote refined urban governance and assist in the modernization of urban governance.
The Minivision MG800 AI comprehensive capability component integrates video structured analysis, data storage, and data application, and can be connected to urban level video monitoring equipment. It is suitable for smart cities, smart transportation, smart city management, bright kitchen stoves, smart communities, smart construction sites, and other scenarios, achieving full coverage, full equipment access, and full-time monitoring, and building a city management closed-loop of "video monitoring video analysis on-site disposal".
Based on intelligent video analysis algorithms, MG800 can extract elements such as people, items, behaviors, and events from videos, intelligently and label video streams, alert abnormal events, and prevent potential risks.
The algorithm covers smart cities, smart communities, smart schools, smart kitchens, smart epidemic prevention, smart construction sites, etc. It can intelligently identify various scenarios in urban operation, grassroots governance, urban management, and administrative law enforcement.
At the same time, MG800 supports the upgrade and authorization of algorithm packages, and can dynamically schedule computing resources as needed, achieving maximum utilization of computing resources.
MG800 fully utilizes GPU computing power to solve data-intensive computing problems and improve video analysis concurrency performance. Currently, it can support 5000 camera connections and can be continuously expanded.
The platform supports access to multiple standard protocols such as RTSP protocol or GB28181 protocol, supports video stream analysis in multiple encoding formats, and provides standard interface services with rich boundaries.
The MG800 can record alarm events and support viewing video playback for managers to locate and trace events.
In scenarios such as municipal management, communities, parks, and construction sites, safety prevention and control have shifted from passive monitoring to active detection, forming a full closed-loop urban management system of "early warning, scheduling, disposal, and decision-making".
MG800 can connect with video monitoring platforms and upper level business platforms, connect the correlation of video data, achieve multi-level management and one network control, comprehensively enhance the value of video data, and provide digital and intelligent technological means for urban managers.
The MG800 platform is compatible with multiple brands of domestic servers and has strong adaptability.
At the same time, the platform can achieve one click deployment and support one click upgrade. In this way, the utilization rate of new and old equipment can be fully improved, the deployment cost of hardware equipment can be significantly reduced, and cost reduction and efficiency can be maximized.
Minivision has carried out a municipal intelligent analysis project in a certain district and county in Northeast China, empowering 3000 cameras in the entire area with AI, covering algorithms such as garbage recognition, road occupation, green lodging, shared bicycle parking violations, and motor vehicle parking violations, achieving comprehensive urban intelligent management.
In Nanjing, Jiangsu, Minivision has built a national benchmark large-scale smart community project for a certain district and county, upgrading over 1000 residential areas in the entire area, covering over 5 million residents and integrating over 100,000 front-end devices.
A certain platform algorithm warehouse operates nearly 90,000 video surveillance terminals across the province, covering various scenarios such as urban governance, environmental protection, kitchen lighting, campuses, construction sites, communities, etc. It provides chef clothing/chef hat detection, mask wearing detection, mouse detection, safety helmet detection, reflective vest detection, slag truck cleaning detection, engineering vehicle detection (including slag trucks, excavators, cement trucks), road occupation detection, and floating object detection on the water surface Algorithm for detecting electric vehicles entering elevators, flame and smoke detection, and personnel gathering detection. Empowering the Minivision MG800 effectively improves the utilization and effectiveness of video surveillance platforms, and enhances management efficiency in various industries.
In the Mingcheliang Stove project in a certain city in Jiangsu, Minivision provides MG800 AI algorithm service components, providing algorithms such as mask free detection, chef suit/hat detection, mouse detection, and electric vehicle elevator entry detection for 500 channel video surveillance, fully empowering the promotion of food safety management in transparent kitchens.