Machine vision-based vehicle flow detection technology creates new intelligent traffic

    Due to the increase of vehicles in cities, traffic detection has become an important part of modern traffic. Mastering traffic information can not only ensure road safety, but also achieve the purpose of macro-control.

    Today is the era of intelligent transportation. Although there are many methods for detecting traffic flow, there are some disadvantages in these methods. For example, ultrasonic frequency detection technology: the method of receiving ultrasonic waves reflected from the vehicle or the ground to determine whether a vehicle passes, this technology is less accurate in practical applications due to the attenuation of electromagnetic waves during the propagation process; air Pipeline detection technology: When the vehicle passes through a specific pipeline, the air is squeezed in the tube to touch the counter. This technology is obviously complicated and has a short service life. Electromagnetic induction detection technology: This technology is relatively stable in performance and technology. It is advanced and not affected by environmental factors. However, because the induction device is fixed and buried on the ground, once a vehicle violates the rules and runs abnormally, errors are easy to occur, and the maintainability of the road is correspondingly reduced. Then, in contrast, machine vision vehicle flow technology has the advantages of low cost, strong stability, high accuracy, wide application range, and comprehensive traffic management information. Therefore, this technology is currently used in domestic and foreign expressways and highways. It has been widely used in highway traffic monitoring systems.

Machine vision vehicle flow detection technology can provide high-quality image information for traffic monitoring, and realize accurate and reliable road traffic monitoring and control. The detection system is mainly composed of video acquisition, video signal processing, and vehicle flow detection result output. Correspondingly, these links are completed by various parts of the machine vision system. Industrial cameras and image capture cards are used to capture video, and image processing software implements video signal processing and output of detection results. In the signal processing link, different algorithms should be adopted, for example, the algorithms used for day and night detection are different. Finally, the traffic flow information is transmitted to the monitoring center, which completes the entire monitoring and detection process.

     Machine vision systems are widely used in the field of intelligent transportation research, such as license plate recognition, path recognition and tracking, obstacle recognition, driver status monitoring, and driver vision enhancement. Wei Shi image has been committed to the research and development of industrial vision, with a number of self-developed machine vision products, designed to convert machine vision, automation and other technologies into system solutions, to provide more comprehensive machine vision users in China Products and Services.