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Commodity identification model construction method

A technology for recognition models and construction methods, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as errors in recognition results, wrong deductions, general recognition accuracy, etc., to achieve improved recognition accuracy and high recognition accuracy , the effect of accurate identification

Active Publication Date: 2021-12-10
广东佩服科技有限公司
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Problems solved by technology

[0003] The process of unmanned automatic vending cabinets involves commodity identification, and commodity recognition requires a commodity recognition model. At present, most of the commodity recognition models in the existing technology have a relatively average recognition accuracy and cannot be used for automatic vending machines. Fast and accurate identification of vending products will bring some troubles to users when using unmanned vending cabinets, such as errors in recognition results and incorrect deductions, which will affect users' experience in using unmanned vending cabinets

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  • Commodity identification model construction method

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Embodiment Construction

[0053] Below in conjunction with accompanying drawing, the present invention will be further described, as figure 1 Shown, the present invention comprises the following steps:

[0054] A1. Construct a product training data set and conduct the first stage of training to obtain the basic model of product recognition;

[0055] A2. Construct a video training data set and input the video training data set into the basic product recognition model for the second stage of training to obtain a deployable product recognition model.

[0056] Compared with the prior art, the present invention constructs a commodity training data set first, conducts the first-stage training and forms a commodity recognition basic model, and then conducts the second-stage training on the basis of the commodity recognition basic model to obtain a commodity recognition deployable model , the recognition accuracy of the constructed product recognition model can be greatly improved by sequentially performing t...

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Abstract

The invention relates to the technical field of automatic vending, in particular to a commodity identification model construction method, which comprises the following steps: A1, constructing a commodity training data set and carrying out first-stage training to obtain a commodity recognition basic model; A2, constructing a video training data set and inputting the video training data set into the commodity recognition basic model for second-stage training to obtain a commodity recognition deployable model. According to the invention, the commodity recognition model with high recognition accuracy can be constructed, the constructed commodity recognition model can quickly and accurately recognize automatic vending, and the method can be well suitable for unmanned automatic vending cabinets.

Description

Technical field: [0001] The invention relates to the technical field of automatic vending, in particular to a method for constructing a commodity recognition model. Background technique: [0002] With the development of technology, the retail industry has flourished in recent years, and some unmanned automatic vending cabinets have appeared on the market, which can realize unmanned vending. [0003] The process of unmanned automatic vending cabinets involves commodity identification, and commodity recognition requires a commodity recognition model. At present, most of the commodity recognition models in the existing technology have a relatively average recognition accuracy and cannot be used for automatic vending machines. The fast and accurate identification of the vending machine will bring some troubles to the user when using the unmanned vending machine. For example, the recognition result is wrong and the wrong deduction occurs, which will affect the user's experience o...

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Application Information

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IPC IPC(8): G06K9/62G06K9/34
CPCG06F18/253G06F18/254G06F18/214
Inventor 曾小平刘恋陈权威
Owner 广东佩服科技有限公司