Machine vision traffic flow detection technology is the embodiment of intelligent transportation in

 Traffic flow detection has always been a project of great concern in the transportation field. It can not only ensure road driving safety, but also achieve the purpose of macro-control. In the previous article, we mentioned that today is the era of intelligent transportation, and also introduced the advantages of license plate recognition technology based on machine vision. At the same time, machine vision traffic flow detection technology is the best embodiment of intelligent transportation in China and plays an important role in the entire transportation field.
For a long time, there have been many traffic flow detection methods, but these methods have more or less certain drawbacks. For example, ultrasonic frequency detection technology: adopts the method of receiving ultrasonic waves reflected from vehicles or the ground to determine whether there is a vehicle passing by. This technology is affected by attenuation during the propagation of electromagnetic waves and has poor accuracy in practical applications; air Pipe detection technology: When a vehicle passes through a specific pipeline, the air in the pipe is squeezed and triggers the counter. This technology is obviously more cumbersome and has a short service life. Electromagnetic induction detection technology: This technology is relatively stable in performance and has comparative technical advantages. It is advanced and less affected by environmental factors. However, since the sensing device is fixed and buried in the ground, once a vehicle violates regulations and drives abnormally, errors are likely to occur, and the maintainability of the road surface is also reduced accordingly. So, relatively speaking, machine vision traffic flow technology has the advantages of low cost, strong stability, high accuracy, wide application range, and comprehensive traffic management information. Because of this, this technology has been used on highways at home and abroad. It has been widely used in highway traffic monitoring systems.
Machine vision traffic flow detection technology can provide high-quality image information for traffic monitoring and achieve accurate and reliable monitoring and control of road traffic. The detection system is mainly composed of video collection, video signal processing, and traffic flow detection result output. Correspondingly, these links are completed by various parts of the machine vision system. The camera and image acquisition module are responsible for video acquisition and realize the process of converting analog video signals into digital video signals. Image processing software implements the processing of video signals and the output of detection results. In the signal processing link, different algorithms must be adopted. For example, the algorithms used for detection during the day and at night are different. Finally, the traffic flow information is transmitted to the monitoring center, thus completely realizing the entire monitoring and detection process.