Traffic light control method and device for adjusting signal conversion time based on photo recognition
A technology for converting time and adjusting signals, which is applied in the field of traffic management, and can solve problems such as troublesome installation and debugging, high failure rate, and low penetration rate, and achieve the effects of reducing the difficulty of installation and maintenance, alleviating road traffic congestion, and low cost
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Embodiment 1
[0033] Embodiment 1: An example where the present invention is applied to a three-way intersection. figure 2 It is a schematic diagram of camera installation at a fork in the road. A group of 3 cameras are installed in total. Each camera is aimed at a fork in the road. The height of the camera is not less than 4 meters.
[0034] image 3 It is a structural diagram of the calculation and control device adopted in Embodiment 1. The complete set includes:
[0035] Module 101: Install a group of 3 cameras at the three-way intersection.
[0036] Module 102: a computing module, including: a storage unit for storing instructions, and at least one processor coupled to the storage unit; wherein, when the at least one processor executes the instructions, the The instructions cause the processor to perform the method as claimed in claims 1-3.
[0037] Module 103: a controller for controlling the traffic lights to turn on and off.
[0038] Module 104: a data bus used for communicati...
Embodiment 2
[0049] Figure 5 For the schematic diagram of Embodiment 2 of the present invention applied to a five-fork intersection, a group of five cameras is installed, each camera is aimed at a fork, and the height of the camera is not less than 4 meters.
[0050]The computing and control devices used in Embodiment 2 are similar to those in Embodiment 1 (but the number of cameras is changed from 3 to 5), and will not be repeated here.
[0051] The calculation and control device of embodiment 2 comprises the following steps during operation:
[0052] Step 201: When the crosswalk signal light is green, use 5 cameras to take photos of 5 branch roads. At this time, the cars on the fork road are all in a state of waiting for traffic.
[0053] Step 202: Use a computer to identify and count the number of cars waiting to pass in the five branch road photos according to the photos taken in step 201. When identifying and counting the number of cars, feature extraction algorithms such as princ...
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