The SWR2011GS developed by Shenzhen Sowell Technology Development Co., Ltd. is a fully automatic traffic control equipment designed specifically for continuous observation stations. It can provide various traffic parameters and is divided into 11 types of vehicle models according to the standards of the Ministry of Transportation. It has a new generation of detection methods and world leading technology.
The SWR2011GS image recognition and traffic control system adopts a camera installed above the road to detect traffic data. The system integrates advanced computer control, image recognition, digital neural algorithms, remote communication and other advanced designs, which can accurately detect the traffic flow, speed, traffic density, road occupancy, headway, vehicle classification (classified into 11 types according to the standards of the Ministry of Transportation), and so on in each lane of the road surface, The detected data can be input into the standard software of the Ministry of Transportation for processing and output. The system can be used alone or connected to all detection points for unified scheduling at user designated locations. Real time dynamic on-site images and traffic of the local area can be publicly disclosed at any time, fully meeting the requirements of various traffic management departments to grasp the actual dynamic traffic data of the road surface.
Working principle of SWR2011GS image recognition cross modulation system
The SWR2011GS Traffic Volume Information Survey System is a system that detects and analyzes the operation of road vehicles based on video image analysis and computer vision technology. It can analyze input traffic images in real-time, track vehicles in the images, and obtain various traffic data.
The SWR2011GS highway traffic investigation system solution uses CCD cameras as image sensors, which are installed on the road sections and lanes that need to be detected. The image signals output by the cameras can be obtained through pattern recognition and artificial intelligence algorithms to obtain various traffic data and classify vehicle types according to the requirements of the Ministry of Transportation. The vehicle model data can be dynamically measured and created based on the actual situation in different regions. The various traffic data detected by the system can be stored in the device's large capacity non-volatile memory, or transmitted to the remote data center through communication interfaces (RS232, RS422, RJ45 Ethernet interface, etc.).