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Jiangsu Yancheng Public Transportation Corporation Shares Three Cases of Using Xiwu CP5 License Plate Recognition System

Category: News Center

Author: Xiwo Wisdom

Source: Official WeChat Account

Published on: 2022-09-07 11:59

Case Study: Jiangsu Yancheng Public Transportation Corporation

Yancheng City Public Transportation Corporation is a municipally-owned, second-tier enterprise primarily engaged in operating urban public transportation services within the city. Established in December 1977, it is funded by the Municipal State-owned Assets Supervision and Administration Commission, while the Municipal Transportation Bureau oversees its administrative management functions. In 2013, the city's urban bus management system was unified under the Municipal Transportation Administration, previously under the Urban and Rural Construction Bureau. The corporation currently comprises 3 operational branch companies, 1 taxi company, 1 repair company, and 1 material supply company, along with 11 functional departments. As of now, the city’s public transportation fleet consists of 1,101 buses, equivalent to 1,374.3 standard units. In the greater urban area, there are currently 40 bus terminals and stations, covering a total area of 525.28 mu. Among these facilities, there are 7 parking and maintenance depots spanning 255.18 mu; 7 dedicated bus parking lots occupying 90.4 mu; 5 integrated transportation hubs covering 82.5 mu; and 21 terminal stations with a combined area of 97.2 mu.

Jiangsu Yancheng Public Transportation Corporation has deployed three sets of Xiwu CP5 license plate recognition systems. The application results are shown in the following images:

SEWO-CP5 License Plate Recognition System Feature Highlights:

● Highly optimized embedded license plate recognition algorithm: Achieves a comprehensive recognition rate exceeding 99%;

● Optimized processing for video stream recognition: Ensures maximum accuracy in identification;

● Excellent automatic imaging control: Automatically tracks changes in lighting conditions, effectively suppresses both front and back lighting, and minimizes interference from car headlights at night. The fill light is controlled via an image-analysis algorithm, eliminating the instability associated with traditional fill-light systems that rely on photoresistors.

● Can operate offline: Features built-in data storage;

● Intelligent Handling of Vehicles Without License Plates: Multiple trigger mechanisms ensure smooth traffic management for vehicles lacking license plates (or those with severe pollution, etc.);

● Product Stability: Excellent hardware architecture and robust algorithms;

● Supported license plate types: standard blue plates, black plates, yellow plates, double-layer yellow plates, police vehicle license plates, new-style armed police license plates, new-style military plates, embassy license plates, and Hong Kong/Macau entry/exit mainland plates;

● Adaptation speed: 0–50 km/h;

● Identifying features: number, color, type, width;

● Output results: Vehicle feature image, license plate image, license plate number, color, type, and passage time;

● High-definition H.264 and MJPEG output; supports JPEG-format snapshot capture.

● Supports triggering methods such as coil, video, 485, and network;

● Supports intelligent automatic and manual white balance adjustment;

● Manual dimming, image-based lighting control;

● Exposure control based on license plate brightness;

● Cabinet external dimensions: 350 × 175 × 1400 mm;

● Supports WeChat and Alipay payments—parking fees are directly credited to the property management account, eliminating the need for intermediaries or app downloads!

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