Today is the era of intelligent transportation. Although there are many methods for detecting traffic flow, there are still some drawbacks in these methods.
For example, ultrasonic frequency detection technology: adopting the method of receiving ultrasonic waves reflected from the vehicle or the ground to determine whether there is a vehicle passing through. This technology is affected by attenuation during the propagation of electromagnetic waves, and its accuracy is poor in practical applications;
air Pipeline detection technology: When the vehicle passes through a specific pipe, the air in the pipe is squeezed and the counter is triggered. This technology is obviously cumbersome and has a short service life.
Electromagnetic induction detection technology: This technology has relatively stable performance and technical comparison. Advanced and less affected by environmental factors, however, because the sensing device is fixed on the ground, once a vehicle illegally drives abnormally, errors are prone to occur, and the maintainability of the road surface is also reduced accordingly.
In contrast, machine vision traffic flow technology has the advantages of low cost, strong stability, high accuracy, wide application range, and comprehensive traffic management information. Therefore, this technology has been used in domestic and foreign expressways and Highway traffic monitoring system has been widely used.
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 acquisition, video signal processing, and output of traffic flow detection results. Correspondingly, these links are completed by various parts of the machine vision system.
The industrial camera and image acquisition card are used for video acquisition, and the image processing software realizes the processing of video signals and the output of detection results. In the signal processing link, different algorithms should be adopted, for example, the algorithms used in daytime and nighttime detection are different. Finally, the traffic flow information is transmitted to the monitoring center, so that the entire monitoring and detection process is completely realized.
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, driver vision enhancement, etc.
Langrui Zhike has been committed to the research and development in the field of industrial vision, and has a variety of self-developed industrial smart cameras and Machine vision products such as frame grabbers aim to convert machine vision, automation and other technologies into system solutions, and provide more complete products and services for domestic machine vision users.
For example, ultrasonic frequency detection technology: adopting the method of receiving ultrasonic waves reflected from the vehicle or the ground to determine whether there is a vehicle passing through. This technology is affected by attenuation during the propagation of electromagnetic waves, and its accuracy is poor in practical applications;
air Pipeline detection technology: When the vehicle passes through a specific pipe, the air in the pipe is squeezed and the counter is triggered. This technology is obviously cumbersome and has a short service life.
Electromagnetic induction detection technology: This technology has relatively stable performance and technical comparison. Advanced and less affected by environmental factors, however, because the sensing device is fixed on the ground, once a vehicle illegally drives abnormally, errors are prone to occur, and the maintainability of the road surface is also reduced accordingly.
In contrast, machine vision traffic flow technology has the advantages of low cost, strong stability, high accuracy, wide application range, and comprehensive traffic management information. Therefore, this technology has been used in domestic and foreign expressways and Highway traffic monitoring system has been widely used.
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 acquisition, video signal processing, and output of traffic flow detection results. Correspondingly, these links are completed by various parts of the machine vision system.
The industrial camera and image acquisition card are used for video acquisition, and the image processing software realizes the processing of video signals and the output of detection results. In the signal processing link, different algorithms should be adopted, for example, the algorithms used in daytime and nighttime detection are different. Finally, the traffic flow information is transmitted to the monitoring center, so that the entire monitoring and detection process is completely realized.
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, driver vision enhancement, etc.
Langrui Zhike has been committed to the research and development in the field of industrial vision, and has a variety of self-developed industrial smart cameras and Machine vision products such as frame grabbers aim to convert machine vision, automation and other technologies into system solutions, and provide more complete products and services for domestic machine vision users.