Machine vision based self-propelled dining car recognizing and positioning system and method

Abstract

The invention discloses a machine vision based self-propelled dining car recognizing and positioning system and method. The machine vision based self-propelled dining car recognizing and positioning system comprises a self-propelled dining car, a vision image acquisition device and a server host, and is characterized in that the self-propelled dining car comprises a car body, a positioning identifier, a control device, a driving and walking system, an obstacle avoidance device, an ordering client and a power supply; the video image acquisition device is an array formed by a plurality of wireless cameras and used for performing recognition and positioning on the whole body; the control system comprises a wireless transmitting and receiving unit and a single-chip microcomputer, the single-chip microcomputer performs wireless data transmission with the server host by using the wireless transmitting and receiving unit, and the server host performs processing on data. The system disclosed by the invention finally can realize recognition for the identifier of the self-propelled dining car through machine vision, completes global positioning for the self-propelled dining car, determines the advancing direction of the self-propelled dining car and does not need to transform the ground of a restaurant; and the system is simple and convenient to operate, can replace manual labor to complete service tasks such as ordering, meal delivery and settlement quickly and accurately, improves the work efficiency and optimizes the service quality at the same time.

Description

technical field [0001] The invention relates to a self-propelled dining car identification and positioning system and method based on machine vision, belonging to the field of machine vision target identification and positioning. Background technique [0002] With the continuous development of science and technology and the growth of people's demand for catering services, self-propelled dining cars have gradually been put into use, reducing the workload of restaurant service personnel and improving overall work efficiency. At present, the actual service of the more common food delivery robots on the market often cannot meet the requirements. For example, in the existing patent "a restaurant path navigation system and navigation method for robots" (see patent No. CN103335652A) of Shaanxi University of Science and Technology, although automatic navigation can be realized, the user needs to start from the restaurant coordinate point corresponding to the initial position of the ...

AI Technical Summary

Problems solved by technology

The actual service of the more common food delivery robots on the market often cannot meet the requirements

For example, in the existing patent "a restaurant path navigation system and navigation method for robots" (see patent No. CN103335652A) of Shaanxi University of Science and Technology, although automatic navigation can be realized, the user needs to start from the restaurant coordinate point corresponding to the initial position of the robot, and then follow the instructions in sequence. Inputting multiple adjacent restaurant coordinate points is not suitable for the situation where the positions of restaurant tables and chairs change; at the same time, the robot delivers meals along the set definite route, and its actions are limited and inconvenient to use.

Another example is the "robot service restaurant system" (see patent No. CN 204229192 U) of Shenzhen Dafu Seiko Co., Ltd. The robot needs to install a magnetic guide rail, and a tracking positioning device and an obstacle avoidance device are arranged on the main body, so that the overall device is loaded down with trivial details. , occupying a space, and the robot moves along the guide rail, which requires too much environment for the restaurant, and the restaurant needs to be remodeled when using it.

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