Light-weight holographic road traffic state visual inspection device
A visual detection device, a technology for road traffic, applied in the direction of traffic flow detection, etc., can solve the problems of weak data spanning in time and space, poor diversity of data collection objects, and large limitations.
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Embodiment 1
[0150] refer to Figure 1 to Figure 8 , Figure 13 , a light-weight holographic road traffic state visual detection device, including visual sensors installed at each measurement point on each road on the road network, the visual sensor is arranged about 10 meters above the lane, parallel to the direction of the lane, towards Align downwards to the lane, while the horizontal axis of the imaging plane of the vision sensor is parallel to the ground plane, as shown in the attached figure 1 shown. The microprocessor that is used for evaluating road traffic state according to the video data of visual sensor, described microprocessor comprises microprocessor system hardware and microprocessor software, it is characterized in that: described microprocessor hardware is composed of CPU, Image memory, input unit, display unit, storage unit, transmission unit, communication unit, video interface, RAM (Random Access Memory) and ROM (Read-only Memory), as attached Figure 5 As shown; th...
Embodiment 2
[0267] Refer to attached Figures 9 to 12 , and the rest are the same as Implementation 1, the difference is that the lane customization, automatic generation of sampling points and road congestion analysis, processing and detection are completed on two different devices; among them, the customization of lanes and automatic generation of sampling points are performed on a PC Completed, the road congestion analysis, processing and detection is completed on the embedded device; the SOCKET communication method is used between the customized PC and the embedded device for analysis, processing and detection, as shown in the attached Figure 10 Shown; The specific implementation method is: at first in the lane information that the PC machine has customized and the sampling point information on the lane, the processing flow of lane customization and generation sampling point is as attached Figure 12 shown; then, through SOCKET communication to the embedded device, as attached Figu...
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