In order to effectively alleviate the difficulty of parking in cities, many cities have actively promoted the reform of the management system of on-street parking in recent years, increasing the number of on-street parking spaces, and constantly optimizing the on-street parking management process.
In recent years, on-street parking management has gradually borrowed from manual management to intelligent equipment. Counting equipment that has been dedicated to urban on-street parking management, including POS machines, meters, license plate scanning PDA equipment, geomagnetism, and video piles. And so on, these constantly iterating roadside parking management devices also continue to promote the refinement and improvement of roadside parking management with the expansion of functions.
With the continuous opening of on-street parking spaces and the increasing complexity of on-street parking environments, from the perspective of city managers, they need more efficient on-street parking solutions, and from the perspective of parking lot operators They also look forward to realizing a wider range of roadside parking management through a more intelligent, wide-view video surveillance system to achieve the application effect of reducing costs and increasing revenue.
In the past two years, with the widespread application of AI video surveillance, AI surveillance equipment has also been introduced by manufacturers to urban roadside parking traffic management applications. At the same time, the application of high-level video has gradually become a trend, and AI intelligence has been loaded. High-level videos of analysis functions are being used in more and more roadside parking scenarios.
Beijing, which has been vigorously advocating roadside parking reforms, has implemented road parking reforms throughout the city in the past two years. The Beijing Municipal Transportation Commission also stated that by 2020, all high-level cameras used to record electronic parking fees in Beijing will have the function of capturing illegal parking, and will gradually be networked with traffic control cameras. According to the Chaoyang District Transportation Commission recently revealed that in 2020 Chaoyang District will deepen the roadside parking reform, complete the installation of high-end video equipment covering 5983 parking spaces, and basically achieve full coverage.
Unique advantages of high-level video surveillance
Image source: Internet
Why high-level video surveillance stands out in this wave of road parking reform, in fact, lies in its unique application advantages:
On the one hand, compared to short-stake video charging devices, high-level videos are less susceptible to human damage , and due to the installation angle, it can achieve an unparalleled large viewing angle and full range of video piles, so as not to miss shots and miss shots. Not only can real-time recognition and detection of parked berths, but also automatic recognition of vacant berths and feedback to the system for data prompts. According to the application effect of the existing high-level video surveillance system used for road parking management, a single pole can cover 8 to 12 parking spaces, and an average camera can effectively manage dozens of parking spaces.
On the other hand, many high-level video surveillance equipment have been loaded with basic AI functions, which can more accurately automatically identify the license plate number, vehicle characteristic data, and automatically collect illegal parking information .
Exploration of innovative applications of high-level video surveillance
Along with the integration of technology, high-level video surveillance of road parking supervision is also beginning to try to add more application functions according to the application scenario. For example, the Beijing area is planning to gradually increase the illegal stop capture function in high-end video billing equipment to record illegal parking.
In addition, some manufacturers have raised the AI performance of high-end video surveillance, and comprehensively improved the application effect of high-end video surveillance from multi-lens fusion, AI algorithms, and system architecture. For example, the AIpark high-level video image recognition system uses multi-lens fusion technology. By merging multi-lens and aggregating multiple algorithms, based on multiple deep learning algorithms, the system engineering design is strengthened to achieve system-level fusion intelligence. In terms of algorithm, multi-level algorithm aggregation is used; in system implementation, end, edge, and cloud architectures are used to improve the stability, comprehensive recognition rate, and system automation rate of high-level video surveillance systems.
Because roadside parking needs to be charged by region, time period, and time, this also means that the roadside parking management system not only needs to clearly identify the information of the detected parking vehicles, but also to complete the application processes such as timing, settlement, and exception handling .
At present, some relatively mature road parking supervision systems are based on high-level video surveillance systems and will also be matched with a set of APP applications, which can facilitate car owners to complete the parking payment process on their own. At the same time, it will provide a series of practical services such as parking guidance, reverse car search, monitoring of car damage, and automatic parking illegal identification. Experience.