"With the surge in urban vehicle ownership, traditional video surveillance faces bottlenecks such as low visibility and missed multi-target detection. During the 2024 evening rush hour in Chongqing's main urban area, heavy rain caused 43% of electronic police systems to fail, triggering multiple rear-end collisions. Data shows that traffic accidents during severe weather increase by 2.3 times compared to normal conditions, highlighting the urgent need for all-weather intelligent sensing devices to ensure smooth road network operations."

— A Chongqing Traffic Police Department

Business Challenges

Insufficient Dynamic Traffic Signal Adjustment: Real-time traffic flow changes, but signal control lacks dynamic optimization, leading to inflexible traffic light timing. This easily triggers a "chain red-light effect," worsening intersection and surrounding congestion while reducing traffic efficiency.

Lagging Urban Road Violation Monitoring: Speeding, wrong-way driving, and lane-changing violations rely on traditional monitoring methods with insufficient real-time accuracy.In 2023, such violations caused 1.75 million road accidents and 500,000 deaths, demanding urgent intelligent regulatory upgrades.

Weak Intelligent Sensing in Highway Networks: Low coverage of smart monitoring equipment prevents all-weather, real-time perception. Traffic incidents still rely on manual identification, resulting in low discovery efficiency and slow response times, failing to meet emergency and management needs.

Market Solution Comparison: Radar + Video Delivers Superior Performance

Radar Highlights

Precision Classification

Multi-Target Accurate Resolution

Dual-level Data Fusion

Adaptive Lane Segmentation

Zone-based Statistics

High Reliability

Strong Anti-Interference

All-Day, All-Weather Operation

Radar-Based Solution

When a target vehicle enters the detection zone, the video surveillance system and radar sensor data are real-time superimposed, virtual loop triggering activates snapshots, automatically recording:Vehicle passage time, Lane number, License plate info, Vehicle color & speed. Structured data is synced to a database, supporting time-based indexing for historical queries.

Traffic Flow Millimeter-Wave Radar

Core Sensing Capabilities: High-precision angle resolution, multi-target detection, accurate ranging.
Fusion Features: Deep integration with HD smart cameras via spatiotemporal calibration and data fusion algorithms, enabling "all-weather precise positioning + full-feature recognition" 3D perception.
Scenario Adaptability: Resolves single-sensor blind spots, covering 90%+ traffic monitoring scenarios.
Real-Time Performance: Millisecond-level data updates for rapid traffic flow feedback, supporting dynamic traffic management (e.g., signal timing optimization).

Customer Benefits

Multi-Dimensional Data Support (e.g., flow statistics, congestion analysis) aids dynamic traffic control strategies (e.g., signal timing optimization, temporary lane adjustments), reducing reliance on manual experience and enhancing management efficiency.
Real-Time, Accurate Target Detection (e.g., vehicle/pedestrian/cyclist position, speed, trajectory) minimizes manual monitoring efforts, shifting staff from "passive screen-watching" to "active decision-making" for rapid response to anomalies (e.g., illegal lane changes, sudden stops, collision risks).
Automated Traffic Incident Recognition (e.g., accident location, violation capture) reduces on-site inspections, lowering personnel exposure to high-risk environments.