Machine vision automatic trolley

Abstract

The invention discloses a machine vision automatic trolley. The machine vision automatic trolley comprises a rack, wherein a horizontal lifting mechanism is arranged in the middle of the rack and comprises two chain belt conveyors, the two chain belt conveyors are asymmetrically arranged on the two side walls of the rack, a plurality of platens distributed at equal intervals are hinged between the two chain belt conveyors, a rail frame is arranged at the top of one side of the rack, a conveying mechanism is movably connected to the rail frame, the position of the conveying mechanism corresponds to the positions of the platens, the bottom of the rack is connected with a base through an emergency stop buffering mechanism, and a visual sensor is arranged at the top of the rack. According to the invention, through the mutual cooperation of the horizontal lifting mechanism and the conveying mechanism, dishes can be directly conveyed to a dining table of a customer, the customer does not need to take the dishes manually, convenience is brought to the customer, the situation that the customer takes the dishes mistakenly actively can be prevented, and through the design of the emergency stop buffering mechanism, the inertia generated when the trolley is braked suddenly can be buffered, and the situation that dishes are splashed is prevented.

Description

technical field [0001] The invention relates to the technical field of machine vision automatic trolleys, in particular to a machine vision automatic trolley. Background technique [0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the machine vision product (that is, the image capture device, which is divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the shape information of the captured target. According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination. The un...

AI Technical Summary

Problems solved by technology

[0004]First, in modern restaurants, machine vision automatic trolleys will be used to serve dishes instead of manual labor, but the existing automatic trolleys only deliver the dishes to the table, and Customers need to manually remove the dishes from the trolley, which is cumbersome and prone to mistakes by customers

[0005]Second, the space in the restaurant is narrow and the flow of people is crowded. The existing car turns through the steering mechanism like a car, which takes up a lot of space during the turning process and is inconvenient

[0006]Third, during the delivery of food by the automatic trolley, the user may suddenly block the front of the moving path. soup spill situation

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