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READ MOREYangzhou Shangyuan Intelligent Transportation Technology Co., Ltd.'s traffic camera poles are equipped with high-performance HD cameras, combined with image processing technology, to provide stable and clear video monitoring in different environments. HD cameras support high resolution (4K, 8K, etc.), providing clear images even in low-light or nighttime environments, ensuring that all traffic details are captured. These cameras are equipped with advanced image processing technologies such as automatic exposure control, dynamic range extension (HDR), and automatic white balance to ensure that image quality is always optimal under various lighting changes. Since the cameras can capture vehicle driving conditions, road conditions, and traffic violations in real time, the video monitoring system provides traffic management personnel with an intuitive view, greatly improving the efficiency of traffic management. Especially in complex intersections and high-traffic areas, multi-angle and multi-dimensional monitoring can effectively reduce the occurrence of traffic accidents and violations.
Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd. also built-in license plate recognition (LPR) technology into the traffic camera poles, enabling it to not only perform general traffic monitoring, but also automatically identify the license plate information of passing vehicles. This technology uses high-definition cameras and image recognition algorithms to collect and analyze the license plate images of vehicles, accurately extract the license plate numbers and link them with the traffic management system, so that the traffic camera pole can automatically record traffic violations such as running red lights, speeding, and parking, and automatically alarm or generate violation records through the system.
Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd.'s traffic camera poles not only have traditional image monitoring functions, but also have powerful environmental perception capabilities by integrating multiple sensors, such as infrared sensors, radar sensors, and acoustic sensors. These sensors can detect and identify changes in the surrounding environment in real time, including vehicle type, speed, traffic flow, meteorological conditions, etc. By collecting and processing this information, the traffic camera pole can fully understand the traffic conditions and make intelligent responses to different situations.
Radar sensor: The radar sensor built into the traffic camera pole of Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd. uses high-frequency electromagnetic waves for detection, which can accurately measure the speed and distance of the vehicle, and support accurate speeding detection and traffic flow statistics. On roads with heavy traffic, radar sensors can efficiently capture real-time data of vehicle driving and respond immediately to speeding or violations.
Infrared sensor: Infrared sensors can provide effective monitoring in low light, bad weather or nighttime environments, and are particularly suitable for maintaining real-time awareness of traffic conditions under conditions of limited visibility. Infrared sensors are commonly used to detect traffic flow and traffic events, such as traffic accidents, lane occupancy, etc.
Acoustic sensor: Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd.'s traffic camera poles can also be equipped with acoustic sensors to detect traffic noise or identify abnormal sounds, such as brake emergency sounds, car accident sounds, etc. These sound signals can help the system determine whether there is a traffic accident or abnormal situation, further improving the intelligent level of traffic management.
Traffic management in modern cities is not limited to monitoring traffic flow and traffic events, but also includes monitoring environmental quality. Shangyuan traffic camera poles can monitor surrounding air quality, noise pollution, temperature and humidity and other environmental data in real time by integrating environmental sensors. These data can provide strong data support for the city's environmental protection and traffic management, helping traffic management departments to take measures to improve environmental quality while dealing with traffic problems. For example, when the air pollution index in a certain area is detected to be too high, the system can automatically remind relevant departments to intervene, or consider emission reduction factors when adjusting traffic lights.