Pioneer Guard's road intelligent monitoring system solution can meet the requirements of road monitoring scenarios, and perform target classification and target feature recognition on the motor vehicles, non-motor vehicles, and pedestrians in the video, realize the structured processing of the video, and meet the public security traffic management The department needs efficient verification of specific objects in massive video, realizes active control of motor vehicles, and improves the utilization of video resources.
Background and challenges
The road monitoring system plays an important role in public security prevention and control and traffic management, providing valuable clues for road traffic condition monitoring, escape and hunting of traffic accidents, and detection of criminal law and order cases, greatly improving the level of traffic management and case handling efficiency.
Traditional video surveillance systems are mostly based on real-time surveillance and post-event video verification. A large number of surveillance probes have brought a lot of available video resources, but also brought severe information retrieval problems. If you want to find a specific target object in the massive video data, the traditional manual verification method is like looking for a needle in a haystack, which is time-consuming and labor-intensive.
道路智慧监控系统解决方案在满足道路监控场景、不妨碍治安防范和道路交通监控情况下，通过视频分析方式对监控画面中的机动车、非机动车和行人目标进行分类检测和车辆特征识别，利用分类标记、机动车特征等条件可快速检索录像文件、自动关联有相关性的录像文件，显著缩短办案人员检索和回放录像的时间，帮助办案人员在案件最佳侦破时间内尽可能快、准地发现案件线索、证据。 The pilot guard road intelligence monitoring system solution satisfies the road monitoring scene, does not hinder public security prevention and road traffic monitoring, and uses video analysis to classify and detect motor vehicle, non-motor vehicle, and pedestrian targets in the monitoring screen and identify vehicle characteristics. Using classification marks, vehicle characteristics, and other conditions can quickly retrieve video files and automatically correlate relevant video files, significantly reducing the time for case investigators to retrieve and play back videos, and help case investigators as fast as possible in the best case detection time, Find the clues and evidence of the case accurately.
This solution provides two application modes: front-end camera analysis and back-end server centralized analysis. The front-end camera analysis mode is suitable for new monitoring points. The intelligent monitoring unit or intelligent monitoring ball is responsible for the completion of high-definition video image acquisition, encoding, compression, and image upload of the road section, and completes target classification and target feature recognition. The centralized analysis mode of the back-end server is suitable for upgrading and upgrading the existing system. The front-end camera is responsible for collecting, encoding, and compressing the high-definition video images of the road section. The video stream is transmitted to the back-end intelligent monitoring and analysis server, and the intelligent monitoring and analysis server completes the goal Classification and target feature recognition.
The vehicle characteristic data of the intelligent monitoring system can help the public security traffic management department to realize the functions of vehicle inspection and dispatching, fake deck vehicle analysis and judgment, vehicle trajectory analysis and judgment, and road traffic condition judgment and other functions, which facilitates the monitoring business model to engage in the quality of proactive prevention and control. A leap to improve the level of traffic management in related departments.
1) Application advantages
Compared with the traditional road monitoring system, the road intelligent monitoring system can structure the video, perform target classification detection and vehicle feature recognition, solve the problem that massive video recording requires a lot of human input for manual verification, and promote the monitoring business model from the traditional after-the-fact It has verified the qualitative leap in active video prevention and control, and provided public security traffic management departments with a variety of big data research methods such as fake deck vehicle analysis and judgment, vehicle trajectory analysis and judgment, and greatly improved the efficiency of case detection.
2) Technical advantages
The video analysis algorithm with independent intellectual property rights has a variety of vehicle feature recognition functions. It can continuously optimize and improve the effect according to the application environment. It also has a good recognition effect on inclined license plates and has a wide range of environmental adaptability. The high-definition smart surveillance camera uses ultra-low-degree CMOS light sensor, which also has good monitoring effect at night.
3) Cost advantage
The construction mode of the smart monitoring system is exactly the same as ordinary monitoring. It does not need a large L-shaped pole, cutting coils, or auxiliary detection devices such as vehicle detectors. The construction cost is only 1/8 ~ 1 / of the standard construction mode of the bayonet system. 10. And the system uses pure video detection to capture targets and identify target features without breaking the road. The front-end analysis mode system has a simple structure and is easy to install and debug. Based on the exclusive hardware structure design of outdoor road monitoring, it can run stably for a long time and low maintenance costs. The centralized analysis mode of the back-end server can intelligently transform and upgrade existing monitoring resources and improve the utilization rate of monitoring resources.