Edge computing units are the core infrastructure of modern intelligent traffic management systems, achieving precise perception and real-time processing of traffic parameters through multi-source and heterogeneous data collection and edge computing technology. The system primarily relies on video detection with the assistance of multi-sensor fusion, capable of automatically collecting traffic parameters such as traffic flow (vehicles/hour), occupancy (%), speed (km/h), inter-vehicle distance (m), and vehicle types, with data collection accuracy of ≥98% (compliant with GA/T 497-2016 standard). It provides data support for applications such as traffic signal control and road network dispatching.

System Features

Vehicle inspection function, vehicle speed statistics, traffic flow statistics, vehicle type recognition, vehicle length statistics, traffic event detection, data query and statistics, anti-tampering function, condition-setting alarm function, self-inspection and maintenance function, remote maintenance system, expandable features

Equipment Reuse and Data Collection

Reuse existing electronic surveillance/card gate/public security cameras as collection terminals

· Transmit image data via a video private network

· Additional camera blind spots can be added to special road sections

Video detection accuracy ≥ 98% (Public Security Bureau certified)

2. Multi-brand Compatibility

Support for mainstream brand camera integration

· Compatible with various resolution devices

· Offer communication protocol selection feature

· Supports rapid configuration and integration

3. Data Management Function

Traffic flow data storage and query

Spatial-Temporal Dimension Data Visualization (e.g., Bar Charts)

Historical Data Analysis (Peak and Off-Peak Statistics)

· Automatically Generated Analysis Charts

4. Parameters

Traffic Volume Inquiry

Intersection Video

Achieved the leading domestic level of scientific and technological achievement evaluation certification