Intelligent vending machine control method and system based on commodity image recognition
A technology of an intelligent vending machine and a control method, which is applied to coin-operated equipment for distributing discrete items, coin-operated equipment for distributing discrete items, neural learning methods, etc., can solve the problem of heavy workload, error-prone, etc. problems, to achieve the effect of a wide range of identification, fast and convenient transactions, and intelligent identification methods
Pending Publication Date: 2021-03-16
GREE ELECTRIC APPLIANCES INC OF ZHUHAI +1
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Problems solved by technology
This method is labor-intensive and error-prone
Based on the manual input of customers, the user needs to input the number of the aisle where the product to be purchased is located. This method requires the user to input continuous numbers, which is prone to errors
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[0038] The present invention will be further described below with reference to the accompanying drawings.
[0039] figure 1 Shown is a flow chart of a smart vending machine control method based on commodity image recognition according to the present application, including the following steps:
[0040] Step 1: collect images of commodity racks and output and display them, and the displayed commodity rack images can be dragged and / or rotated and / or zoomed to facilitate viewing of commodities in the commodity racks;
[0041] Step 2: When it is detected that a commodity in the commodity list is selected, an image of the selected commodity is collected, and the collected commodity image is identified.
[0042] In this step, identifying the collected commodity images specifically includes: 1) generating an image of the sold commodity; in this step, the image of the sold commodity can be directly input to the intelligent vending machine by means of human-computer interaction. Of cou...
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The invention provides an intelligent vending machine control method based on commodity image recognition, and the method comprises the steps: collecting a commodity shelf image, displaying the collected commodity shelf image, and enabling the commodity shelf image to be dragged, rotated and zoomed, so as to facilitate the checking of commodities in a commodity shelf; when it is detected that thecommodity in the commodity shelf image is selected, collecting an image of the selected commodity, and identifying the collected commodity image by using a deep convolutional network training method;judging whether the identified commodity is a sold commodity or not; if so, displaying the commodity label of the selected commodity; and if not, displaying prompt information. The identification modeof the invention is more intelligent and automatic, the identification range is wider, and the transaction is faster and more convenient.
Description
technical field [0001] The invention relates to the technical field of automatic vending equipment, in particular to a control method and system for an intelligent vending machine based on commodity image recognition. Background technique [0002] Unmanned vending machines have become more and more widely used in the market. At present, most of the unmanned vending machines in the market identify products based on electronic tags or manual input by customers. When based on electronic tags, it is necessary to add electronic tags to each commodity, and then automatically identify the target object and obtain relevant data through radio frequency signals. This method is labor-intensive and error-prone. Based on the manual input by the customer, the user is required to input the freight lane number where the product to be purchased is located. This method requires the user to input consecutive numbers, which is prone to errors. SUMMARY OF THE INVENTION [0003] In view of th...
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Login to View More IPC IPC(8): G06K9/00G06K9/20G06K9/62G06N3/04G06N3/08G07F11/00
CPCG06N3/08G06V20/20G06V10/22G06N3/045G06F18/241
Inventor 叶朝虹陈翀宋德超唐杰
Owner GREE ELECTRIC APPLIANCES INC OF ZHUHAI