Security checkpoint investigation and control platform

The Gaoxinxing Security Checkpoint Platform utilizes advanced image processing, pattern recognition, and other technologies to capture and record the front feature images and panoramic images of every motor vehicle passing by the monitored road in real-time around the clock. Based on the captured images, the license plate is automatically recognized, and the vehicle can be dynamically controlled. It can report illegal activities such as speeding and reversing, as well as theft, illegal blacklists, hit and run vehicles, and generate databases for vehicles that violate regulations such as speeding and reversing. The information from various monitoring points is transmitted to relevant departments through the * network, providing important technical means and evidence for * departments to quickly investigate and deal with traffic violations, and quickly solve traffic hit and run and motor vehicle theft cases.

Product Introduction

U supports multiple vehicle detection methods

Vehicle type judgment: It can judge the vehicle type and output the vehicle type in the additional information, which is convenient for users to view or call information.

Vehicle color recognition function: It has the ability to recognize the color of the vehicle passing through, providing more detailed vehicle information. Users can customize whether to overlay the body color on the image.

Automatic identification of license plates: The system has the ability to automatically recognize license plates of civilian, *, military, * and other vehicles through computer recognition.

Speed measurement and capture: The system supports the function of capturing vehicle speeding.

Image synthesis and tamper proof function: The system supports the function of synthesizing three pieces of violation data.

U-breakpoint continuation: The system supports multiple ways of data transmission: data can be uploaded to the central management system through FTP or TCP/IP; You can also download and control the data stored in the front-end devices in the center.

Remote system management and maintenance: The system has automatic fault detection function, which can automatically detect system faults through software and hardware and restore normal operation.

Detailed specifications

License plate recognition rate:

The daytime vehicle license plate recognition rate should be ≥ 95%, and the license plate recognition accuracy rate should be ≥ 93%; The recognition rate of vehicle license plates at night is ≥ 90%, and the accuracy rate of license plate recognition is ≥ 85%. The accuracy rate of motorcycle license plate recognition is ≥ 70%. The recognition rate of the license plate for the rear image of the vehicle should be ≥ 90%, and the recognition accuracy of the last 5 characters of the license plate (all day) should be ≥ 85%.

Vehicle speed capture range

It has been tested that vehicles can be captured within the range of 5-200km/h, and the capture rate of motor vehicles running red lights reaches 99%. The response speed of image acquisition is ≤ 1ms.

Response time for vehicle information deployment and control

Under normal network conditions, the time from issuing control instructions to actually adding control information for comparison monitoring is ≤ 4s.

Response time for vehicle information monitoring

Under normal network conditions, the average time from the vehicle under control passing through the front vehicle detection point of the security intersection (checkpoint) to the center of the intersection (checkpoint) issuing an alarm message is ≤ 8 seconds, and the longest time is ≤ 15 seconds.

Query response time

Accurate query: Query a single piece of data with determined conditions in the database, with a query response time of ≤ 3s.

Fuzzy query: Querying a database for a single piece of data with uncertain conditions, with a query response time of ≤ 6 seconds.