A self-driven automatic unmanned snack selling method and system in a densely populated area
A technology for densely populated areas and snacks, applied in general control systems, control/regulation systems, non-electric variable control, etc., can solve the problems of automatic detection, easy to miss the opportunity to sell snacks, waste of manpower and material resources, etc.
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Embodiment 1
[0042] refer to figure 1 , Figure 5-6 as shown, figure 1 A flowchart of an automated unmanned snack selling method provided for one of the examples of the present invention; Figure 5 A structure diagram of an automated unmanned snack vending system provided for one of the examples of the present invention; Image 6 A connection relationship diagram between a communication module and a base station provided for one example of the present invention.
[0043] Specifically, this embodiment provides a self-driven automatic unmanned snack vending method in a densely populated area, and the method includes the following steps:
[0044] S1. The communication module 51 establishes wireless communication with at least one base station in a geographical range and receives the number of mobile terminals in the coverage area and the corresponding distribution positions sent by the base station in real time;
[0045] S2, the base station search module 52 finds out the base station with ...
Embodiment 2
[0057] refer to figure 2 , Figure 5-6 as shown, figure 2 It is a flow chart of the vending method when the automated unmanned snack vending system is moving, which is one of the examples of the present invention.
[0058] Specifically, this embodiment is basically the same as Embodiment 1, the difference is that in this embodiment, the method further includes the following steps:
[0059] S6. When the vehicle body is running, the camera 55 acquires images in the environment in real time and the recording device 56 acquires sounds in the environment in real time, and transmits the images and sounds to the processing module 54;
[0060] S7. The processing module 54 analyzes whether there is a portrait picture in the image in the environment that matches the preset dynamic portrait, and analyzes whether there is a sound in the environment that matches the preset voice;
[0061] S8. If the processing module 54 analyzes that there is a portrait picture that matches the preset...
Embodiment 3
[0065] refer to image 3 , Figure 5-6 as shown, image 3 A flow chart of a method for detecting purchasers in an unmanned snack vending system provided as an example of the present invention.
[0066] Specifically, this embodiment is basically the same as Embodiment 1, the difference is that in this embodiment, after the processing module 54 travels to a position where the vehicle can be parked by the traveling device 4, the method further includes the following steps:
[0067] S90, the processing module 54 will judge in real time whether there is a purchasing user in the image in the environment;
[0068] S91. If it is judged that it does not exist, then output a departure instruction to the central control device 2;
[0069] S92. The central control device 2 outputs a first driving command to the driving device 3 according to the departure command and continues to control the traveling device 4 to travel to the target area.
[0070] Specifically, after the processing mo...
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