The VisionMind·Shijiexin urban environmental governance system is an intelligent analysis platform designed for construction site dust management and the operation of special vehicles. Based on urban traffic and construction site monitoring video streams, it can analyze illegal incidents of special vehicles in real time, automatically supervise the duty status and quality of cleaning vehicles, and form a dynamic supervision mechanism that combines traceability and governance, making urban environmental governance more effective.
It has abnormal event recognition algorithms covering the whole process of construction site dust management, as well as recognition algorithms for various special vehicles such as muck trucks, with an accuracy rate of over 95%.
It enables the expansion of the capabilities of old-fashioned traffic police equipment with single functions, and endows non-intelligent video surveillance devices such as road monitoring, vehicle checkpoint monitoring, and public security monitoring with intelligent identification capabilities.
It can be deployed and launched within one day, and various urban environmental governance abnormal events can be identified on the same day, without the need for months of construction.
It connects urban traffic monitoring and construction site monitoring video streams, making it possible to trace illegal behaviors.
According to the requirements of the national standard "Technical Specification for Image Evidence Collection of Road Traffic Safety Violations" GAT832-2014, it automatically saves pictures and videos of illegal processes, realizing a closed loop of evidence collection and punishment.
Identifies whether the sprinkler vehicle is carrying out sprinkling operations on the road surface.
Identifies whether the muck truck has covered the muck.
Identifies different types of license plates such as new energy license plates, yellow license plates, and blue license plates.
Tracks vehicles across cameras to form vehicle travel trajectories.
Identifies the license plates on the front and rear of the vehicle body.
Identifies whether the vehicles inside the construction site have been washed.