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    Project Overview

    The "14th Five-Year Plan for Transportation Development in Hefei" proposes to "strengthen the construction of operational monitoring systems for the highway network, inland waterway network, and major ports; promote the construction of monitoring and surveillance systems for the daily operation status and emergency public events of urban passenger transport hubs, public buses, and rail transit; accelerate the construction of a comprehensive early warning system for transportation emergencies; and establish a rapid early warning release mechanism." To further enhance Hefei's highway maintenance and emergency response capabilities, improve its emergency response capabilities in severe weather and natural disasters, and reduce the risk of traffic accidents, video surveillance systems will be installed on some important sections of national and provincial highways.

    Construction goals

    By leveraging technological means, a comprehensive prevention and control system can be established that is fully covered, shared across the entire network, available around the clock, and controllable throughout the entire process, thereby enhancing security protection, management efficiency, and social governance capabilities.
    • 01

      Full coverage

      It offers full coverage of key areas and adapts to multiple scenarios, supporting various scenarios such as intersections, transportation hubs, and provincial borders to meet diverse needs.

    • 02

      Intelligent early warning

      Real-time anomaly detection: AI technology automatically detects behaviors such as running red lights, throwing objects from high-rise buildings, smoke, and fires.

    • 03

      Data sharing

      Break down information silos and data barriers between departments such as transportation, public security, and environmental protection to achieve cross-departmental collaboration.

    • 04

      Improve efficiency and governance capabilities

      Optimizing resource allocation and using video data analysis to track traffic flow and pedestrian density supports decision-making. Social governance innovation plays a vital role in areas such as environmental monitoring, transportation, and epidemic prevention and control.

    Demonstration and guidance

    By leveraging technology, it becomes a "smart engine" for the modernization of social governance, promoting a comprehensive upgrade in security and prevention, management efficiency, and public services.

    • Technology empowers: From "visible" to "understandable"

      Real-time monitoring and intelligent early warning break down data barriers between public security, transportation, and environmental protection departments to build a three-dimensional prevention and control system with "one-point control and network-wide response".

    • Social governance: From "passive response" to "proactive prevention"

      Achieving full coverage through video surveillance reduces crime rates. It also provides real-time command support during large-scale events and public incidents.

    • Industry Applications: From "Single Scenario" to "Multi-Dimensional Innovation"

      The leap from "single scenario" to "multi-dimensional innovation" and from isolated tool applications to systematic and intelligent ecosystem reconstruction, through data-driven and business process reengineering, achieves collaborative optimization and value upgrading across the entire chain.

    Application effectiveness

    With intelligent sensing and data linkage as the core, we can achieve proactive risk warning and promote the efficient optimization, precision and intelligent upgrading of management processes.

    • Public safety

      From "post-incident investigation" to "pre-incident prevention," a three-dimensional security network of "one-point control and network-wide response" has been built.

    • Traffic Management

      From "manual traffic management" to "intelligent control," traffic efficiency and emergency response speed have been improved.

    • Dynamic monitoring

      From "passive response" to "proactive prediction", dynamic monitoring of high-risk points such as bridges and slopes can be implemented.