With the rapid development of science and technology, Intelligent Transportation System (ITS) and bridge safety monitoring have become an important part of urban infrastructure construction. In this context, video surveillance edge box, as an advanced processing device, has gradually risen, providing strong technical support for urban traffic and bridge safety with its efficient data processing capabilities and a wide range of application scenarios. 1. Overview of video surveillance edge box
Video surveillance edge box is an edge computing device integrating high-performance computing, big data analysis and artificial intelligence technology, which is mainly used to process various event data captured by traffic flow checkpoint cameras, including vehicle identification, violation detection, traffic flow statistics, etc. At the same time, it can also process the data of bridge detection and analysis, and monitor and warn the bridge structure in real time. In addition, the video surveillance edge box can also cooperate with various intelligent networking devices to accelerate algorithm analysis in complex environments and improve the overall performance and response speed of the system.
2. Application of video surveillance edge box in intelligent transportation
Traffic flow checkpoint data analysis: The video monitoring edge box can receive the data collected by the traffic flow checkpoint camera in real time, process the data through the built-in analysis algorithm, quickly identify the vehicle information, detect violations, and upload the results to the central server in real time to provide decision support for the traffic management department.
Traffic flow statistics: Through the video monitoring edge box, the traffic management department can grasp the traffic flow situation of each intersection in real time, make reasonable traffic planning according to these data, optimize the traffic signal control strategy, and improve the road traffic efficiency.
Intelligent network equipment collaboration: video surveillance edge box can communicate with intelligent network equipment (such as vehicle terminal, roadside unit, etc.) to realize information interaction between vehicle and infrastructure. In the complex environment, video surveillance edge box can accelerate the algorithm analysis and improve the response speed and accuracy of the system.
3. Application of video surveillance edge box in bridge detection
Bridge structure monitoring: The video monitoring edge box can integrate a variety of sensors (such as displacement sensors, stress sensors, etc.) to monitor the bridge structure in real time. Through data analysis, the abnormal changes of the bridge structure can be found in time to provide early warning information for bridge maintenance.
Bridge health assessment: based on the long-term monitoring data, the video surveillance edge box assesses the health status of the bridge, and judges whether the bridge has potential safety hazards by comparing the historical data with the current data, so as to provide a scientific basis for bridge maintenance and reinforcement.
As an advanced edge computing device, video surveillance edge box has broad application prospects in intelligent transportation, bridge detection and other fields. Through real-time data processing and algorithm analysis, it provides strong technical support for urban traffic and bridge safety. In the future, with the continuous progress of technology and the continuous expansion of application scenarios, video surveillance edge box will play an important role in more fields.
