Intelligent video analysis technology helps smart city traffic improvement
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According to the “China New Urbanization Report 2012” report released by the Chinese Academy of Sciences, the average time on the way to work in 50 cities in China was ranked. Beijing topped the list with 52 minutes, followed by Guangzhou and Shanghai with 48 minutes and 47 minutes. Shenzhen Fourth with 46 minutes. The report also pointed out that in 2011, the urbanization rate of mainland China exceeded 50% for the first time, reaching 51.3%. …
In the past ten years, my country’s urbanization has developed rapidly. At present, the number of motor vehicles and non-motor vehicles has increased rapidly in the densely populated areas of domestic cities. At the same time, the relatively scarce and outdated road transportation facilities and the unreasonable urban road network have been overwhelmed, resulting in Problems such as frequent traffic jams and chaotic traffic order in urban areas are becoming more and more serious. Especially during the morning and evening traffic peaks, the flow of people and traffic on the road is basically saturated or super-saturated, the vehicles are running slowly, and the phenomenon of vehicles driving illegally, vendors occupying roads and setting up stalls, vehicles parked indiscriminately, and road occupation are more serious. , so that “going to the road to watch the auto show” has increasingly become a normal state of urban traffic, and it is the difficulty and hot spot of urban traffic management.
According to the “China New Urbanization Report 2012” report released by the Chinese Academy of Sciences, the average time on the way to work in 50 cities in China was ranked. Beijing topped the list with 52 minutes, followed by Guangzhou and Shanghai with 48 minutes and 47 minutes. Shenzhen Fourth with 46 minutes. The report also pointed out that in 2011, the urbanization rate of mainland China exceeded 50% for the first time, reaching 51.3%. This means that China’s urban population has exceeded the rural population for the first time, and China’s urbanization has entered a critical stage of development.
Ten years ago, traffic congestion was rare in second-tier cities in China, but in the past five years, traffic congestion has become the norm in second- and even third-tier cities. 80% of road sections and 90% of intersections in cities with a population of more than one million are close to the limit.
Traffic congestion causes traffic delays, reduced vehicle speeds, time loss, increased fuel costs, increased pollution, and induces traffic accidents, affecting people’s work efficiency and health. For urban traffic managers, on the one hand, it is the growing traffic pressure, and on the other hand, the police force is stretched. one. The widespread use of high-definition cameras and the development of video analysis technology based on high-definition images have effectively solved the problem of technical means, making the intelligent traffic information system widely used in every town.
Video analysis technology has been widely used in the intelligent transportation industry, and the technology is developing rapidly. In the past three or four years, products that rely on video analysis technology have been updated for two generations, from standard definition to high definition to the current high-definition intelligence. Because of the high efficiency and practicality of video analysis technology, it will maintain rapid development in the future technological development. Its development direction mainly includes four aspects:
1. The adaptable image pixels are getting higher and higher. The video analysis of high-definition video used to be the bottleneck of the entire video analysis technology. High-pixel video streams have high requirements for video computing and the carrying capacity of front-end equipment. Development, this bottleneck has been solved, and now all intelligent transportation systems have basically used high-definition cameras as the basic data source. In the future technological development, the pixel of the camera will be higher and higher, from the current mainstream 2 million and 5 million pixels to a higher definition, and the video analysis technology will also adapt to the corresponding front-end equipment.
2. The dimensions of video analysis are getting wider and wider At present, video analysis technology is mainly used in electronic police systems in the transportation industry (including comprehensive vehicle illegal capture), bayonet systems, and dynamic traffic monitoring systems. The data of video analysis in each system is basically fixed. For example, the electronic police system mainly detects various illegal behaviors such as vehicles passing through monitoring points, judging vehicles running red lights, illegal lane changes and pressing lines. The bayonet system mainly recognizes vehicle license plates and monitors dynamic traffic flow. The system mainly counts the traffic flow information of the traffic section. In the future technological development, the data dimension of video analysis will become wider and wider, including complex traffic behavior analysis, vehicle body color recognition, vehicle logo type recognition, driver face recognition and so on.
3. The front-end hardware equipment is getting smarter and smarter. When it first entered the high-definition era, the video analysis of high-definition cameras was basically a camera equipped with an industrial computer for video computing, and then developed to several (two to four not etc.) The camera is equipped with an industrial computer. Now the video analysis in the bayonet electric police system no longer needs to be equipped with an industrial computer, and the video algorithm is directly written into the camera, and the camera does this work. The intelligent development of technology is particularly important. In the future development of products and technologies, video analysis technology will have lower and lower requirements for front-end equipment, fewer and fewer front-end devices will be deployed, and more and more intelligent, and will carry more and more functions.
4. The stability of video computing is getting higher and higher. The stability of video analysis technology has always been a problem for development, especially the speed of road vehicles is fast, and the transportation industry itself has high detection accuracy, so some applications have been in the trial stage. For example, the detection of vehicles on high-speed sections adopts the method of coil or radar detection as the main video, and video speed measurement is not used as the basis for punishment for traffic speeding violations, etc. With the further development of video analysis technology in the future, it is bound to become more and more stable, and the detection accuracy will become higher and higher, which will completely replace other composite detection methods.
4. Market development prospects
In the “Twelfth Five-Year Plan” Transportation Informatization Development Requirement, it is proposed that to ensure the smooth and efficient transportation system, it is required to strengthen the operation monitoring of transportation infrastructure and transportation equipment, improve their operation management level and operation efficiency; meet the needs of the people Safe and convenient travel requires the provision of high-quality travel information services for the public; to ensure the safe development of transportation, it is required to improve the monitoring and early warning, communication guarantee and decision support level of transportation safety supervision and emergency response. Therefore, the construction of intelligent transportation, which is an important means to relieve urban traffic pressure and reduce traffic accidents, has become the focus of government investment. According to the latest report of Zero2IPO Research Center, my country’s intelligent transportation industry has entered a stage of rapid development. The overall market size of the intelligent transportation industry in 2012 was nearly 80 billion yuan. More than 10%, and will continue to grow and develop for a long time in the future. Therefore, as the core technology of the development of the intelligent transportation industry, video analysis technology has obvious market development prospects and will also gain huge development space.
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