Traffic statistic identification system of smart city

Abstract

The invention discloses a traffic statistic identification system of smart city. The traffic statistic identification system comprises a video source, a vehicle statistic system and a signal machine,wherein the video source is video information accessed to traffic video, the vehicle statistic system comprises an AI identification vehicle and an image processing and generation traffic informationdata report. The traffic statistic identification system of the smart city combines a modern artificial intelligent technology and an image processing technology to research a set of a vehicle statistic algorithm for an intersection achieved by a traffic camera, and the purpose of acquiring and obtaining vehicle information at the intersection according to an image can be achieved; passing vehicles are counted by a vehicle counting module, the in-out time of the vehicle is calculated so as to effectively control the time of traffic light, a data result is returned to the signal machine to adaptively control and adjust a signal lamp at the intersection, so that the traffic flow counting is more convenient and rapid; and moreover, the system is implemented by an embedment mode, the system iseasier to maintain and manage, and great cost can be reduced compared with a traditional ground sensor.

Description

technical field [0001] The invention relates to the technical field of smart cities, in particular to a traffic statistics and recognition system for smart cities. Background technique [0002] At present, traffic congestion in many cities in China is very serious, and the timing of traffic lights at many intersections is actually not optimal. If traditional ground induction coils and geomagnetism are used to dynamically sense and count traffic flow information, it will be costly and time-consuming. Not easy to maintain and manage. [0003] Aiming at the problems in related technologies, no effective solution has been proposed so far. Through the precise vehicle perception detection based on deep learning, the number, flow and density of vehicles in all directions of the traffic intersection can be accurately perceived, so that the optimal configuration of the traffic intersection can be provided. When providing accurate basis, if this vehicle detection technology is used a...

AI Technical Summary

Problems solved by technology

[0002] At present, traffic congestion in many cities in China is very serious, and the timing of traffic lights at many intersections is actually not optimal. If traditional ground induction coils and geomagnetism are used to dynamically sense and count traffic flow information, it will be costly and time-consuming. Not easy to maintain and manage

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