Container Code Recognition (CCR)
The Vehicle Detection System (VDS) is a core application in intelligent traffic
management. It uses high-resolution cameras and artificial intelligence (AI)-powered
image recognition, a technology that enables computers to identify and classify
objects in images or video streams, to collect real-time traffic data at intersections.
VDS analyzes vehicle turning movements (how vehicles make left, right, or U-turns)
and directional flow (the direction in which vehicles travel through the intersection).
The system identifies each vehicle’s movement direction: left turn, right turn, or straight.
It then generates detailed turning flow statistics. This data gives critical insights for traffic
signal optimization, road network design, and transportation policy planning.
Compared to traditional magnetic sensors or induction loops—devices that detect metal
vehicles buried under the road surface—VDS needs no large-scale construction. This
allows rapid deployment across intersections or road environments. The system goes
beyond basic vehicle counting. It classifies different vehicle types—such as passenger
cars, motorcycles, buses, and trucks—so traffic authorities can better understand driving
behavior across categories.
This capability is particularly valuable for urban arterials, highway ramps, and large facility
entrances and exits. It allows traffic monitoring to go beyond detecting vehicle presence.
VDS helps authorities understand traffic movement patterns.
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The VDS system’s value lies in three key aspects:
1. Smart Signal Control – VDS provides real-time turning ratio data. Traffic control centers
can dynamically adjust signal timings based on actual conditions. This reduces congestion
and improves throughput.
2. Traffic Planning – Long-term data accumulation supports precise analysis of turning demands.
It helps engineers assess if dedicated lanes or road design adjustments are needed.
3. Traffic Enforcement – VDS detects violations such as illegal turns, wrong-way driving, and
lane misuse in real time. It provides video evidence and reduces manual enforcement costs.
From a technical perspective, VDS can use edge computing for on-site recognition. It transmits
only structured data, reducing network latency. VDS can also integrate with cloud-based
platforms for data aggregation and trend analysis across intersections.
To ensure stable performance in low light, rainy or foggy weather, and heavy traffic, the system
uses infrared illumination and multi-lens stitching. Continuous AI model optimization improves
accuracy.
In summary, the VDS Vehicle Detection System is a foundational tool for traffic signal optimization.
It is also a key enabler of intelligent transportation and smart city development. VDS helps cities
achieve greater efficiency, safety, and sustainability in road management.
