Page 223 - AI for Good-Innovate for Impact
P. 223

AI for Good-Innovate for Impact



               "application and algorithm" dual decoupling service combination of distributed cluster, based
               on cloud edge resource collaboration technology. The video decoding and AI inference service
               computing power sinks to the city node, reduces the network pressure of the central node
               and the concurrency and delay of the single node of the AI inference platform, realizes the          52-China Mobile
               unified scheduling of video analysis computing power, AI analysis computing power and video
               resources at the provincial side, the city edge side and the user side, and achieves the purpose
               of efficient allocation of computing resources. Integrating machine vision capabilities such
               as video and image OCR, it is oriented to multiple industries, sedimenting industry video
               AI analysis capability set, and providing atomized AI capability with rapid cross-scene reuse
               capability for industry video AI enablement scenes. Moreover, relying on multi-modal large
               model technology and related capabilities of Tuosen, it can identify scenes with high false
               positive rate of traditional AI capabilities, such as: Fire identification, illegal discharge, etc., the
               second audit of large models has greatly improved the identification accuracy of such scenes.

               The project opened a total of 50,000 + algorithms for intelligent video analysis scenarios, and
               based on the "video +AI" fusion mode to create universal, high-precision, and rapid scene-
               oriented AI video standardized products, to achieve the combined reuse of AI capabilities and
               the standardization of video +AI one-stop overall solution. Vertical industries such as key forest
               fire prevention, water resources protection, and farmland supervision sites have been applied
               in scenarios, creating economic benefits of more than 30 million yuan.

               52�2�2  Future Work

               In the future, this project will give full play to the natural advantages of China Mobile's "operator
               connection value", build the MaaS capability of "platform + ecology", realize the end-to-end
               intelligent video product innovation of "platform +AI+ application + business operation", create
               a new type of infrastructure capability, integrate different industry scenarios, and empower
               thousands of industries. Become an important force to promote industrial upgrading and
               improve the quality of life. For example, integrate into urban management and public safety
               and other fields, build smart transportation, smart city and other business scenarios, and provide
               more comfortable living conditions for urban residents; Integrate industrial manufacturing
               and food production, optimize the production process, efficiently supervise the production
               environment and production quality and other factors, accelerate the industrialization process
               and improve food safety.


               52�3� Use case Requirements

               •    REQ-01: To obtain the video surveillance data from public areas, China Mobile must
                    obtain the authorization of both the government and administrators.
               •    NOTE: China Mobile can sign an informed consent form with the government and
                    administrators, clearly stating the purpose, scope, and confidentiality measures for the
                    collection of video data.
               •    REQ-02: To obtain the small model and larger model, China Mobile must obtain the open
                    source AI algorithms and conduct secondary training and development.
               •    NOTE: After finding the model on an open source platform or GitHub, download the
                    model file and code directly. Modify the code of the model to fit your data and tasks as
                    required by the project. When using open source models, ensure that the copyright and
                    license agreements for the models are adhered to.







                                                                                                    207
   218   219   220   221   222   223   224   225   226   227   228