With the acceleration of urbanization, the traditional "human patrol-based" management model has been unable to cope with the complex challenges of urban governance. The in-depth application of AI technology provides new ideas for the construction of smart cities. Through the independently developed "AI video analysis solution", urban management is shifting from passive response to intelligent active discovery, helping to achieve refined and efficient governance.
Technical strength: independent innovation and industry benchmark
A leading technology company relies on its global technology layout to promote industry development with core technology innovation:
High-performance data stream AI chip: Breaking through technical barriers, achieving domestic independent control, chip utilization rate of 95.4%, latency as low as 3ms, and computing power cost performance more than 5 times that of traditional solutions.
Industry standard leader: Leading the world's first AI chip benchmark international standard, participating in the formulation of many national technical specifications, and related technologies have been selected into the "AI Chip Technology Selection Catalog" issued by authoritative institutions.
Technical certification and honors: Won the highest award in the field of international artificial intelligence, the national science and technology innovation special award and the title of "Excellent Technology Innovation Product", demonstrating technological leadership.
Solution: Full-stack AI video analysis architecture
With the integrated architecture of "computing power + algorithm + platform" as the core, build an intelligent analysis system covering the entire process of urban governance:
Hardware layer: Provide edge computing devices and cloud servers, support real-time structured analysis of multiple videos, and adapt to complex scene requirements.
Algorithm layer: Develop more than 20 special algorithms for urban governance, covering areas such as urban appearance management, traffic order, and environmental monitoring, such as road occupation business identification, road waterlogging warning, garbage classification monitoring, etc., and a single video can run multiple algorithms in parallel.
Platform layer:
Support 500 videos for 15 minutes of patrol, realize full-domain efficient monitoring and intensive resource management;
Integrate equipment management, task scheduling, and real-time alarm functions, compatible with mainstream streaming protocols, can quickly connect to existing cameras and information systems, and reduce deployment costs.
Practical results: Transformation path of intelligent management
Digital transformation project of a certain city
By deploying an AI video analysis platform, all-weather intelligent capture of high-incidence problems such as illegal parking and road occupation is achieved, and the event recognition accuracy rate exceeds 90%. Management efficiency is improved by 60%, labor costs are reduced by 40%, and a full-process digital governance model of "intelligent discovery-automatic allocation-disposal closed loop" is formed.
Garbage classification intelligent supervision system
For scenes such as overflowing garbage bins and garbage falling to the ground, the system identifies abnormalities in real time and pushes alarms through mobile terminals. If not handled in time, it will be automatically upgraded and reported. After operation, the accuracy of garbage classification is improved by 35%, and the frequency of manual inspections is reduced by 70%, providing long-term support for urban environmental management.
Core advantages: technology empowers scene upgrades
High-efficiency computing power: Based on the data flow chip solution, a single device can replace multiple traditional servers, and power consumption is reduced by 50%;
Flexible expansion: Supports clustered deployment, adapting to the needs of multiple fields such as traffic management, community security, and safe production;
Quick implementation: Using the existing camera upgrade and transformation, the system deployment is completed within 1 week to achieve "low-cost, high-efficiency" intelligent transformation.
Future direction: Build an open ecosystem and promote industry collaboration
Driven by the dual wheels of "technology + scenario", continue to expand the application boundaries of AI in smart cities. By participating in the construction of ethical governance standards and promoting the internationalization of technical standards, the goal is not only to become a world-leading computing service provider, but also to build an open and collaborative smart city ecosystem to help the full implementation of the digital strategy.
Conclusion
From the underlying chip to the scenario application, AI video analysis technology is redefining the urban governance model. As more cities join the wave of intelligent upgrades, such solutions may become the "new infrastructure" of smart city construction, empowering people's livelihood with the power of technology and creating a more efficient and livable future city.
