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Commodity identification method and device based on neural network, and self-service cashier desk

A neural network and recognition method technology, applied in neural learning methods, biological neural network models, store counters, etc., can solve problems such as repeated counting, scanning misoperation, and increased use costs

Inactive Publication Date: 2018-07-24
BINGOBOX BEIJING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method requires the user to scan in person, which is prone to various scanning misoperations and increases the cost of use
For example, multiple scans of a product lead to repeated counting, and it is difficult to scan correctly after the product barcode is deformed, etc.
Simultaneously, this method also has the problem of poor anti-theft effect

Method used

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  • Commodity identification method and device based on neural network, and self-service cashier desk
  • Commodity identification method and device based on neural network, and self-service cashier desk
  • Commodity identification method and device based on neural network, and self-service cashier desk

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Embodiment Construction

[0103] The technical solutions in the embodiments of the present invention will be clearly and completely described below in combination with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0104] see figure 1 , the neural network-based product identification method provided by the present invention includes:

[0105] Obtain an image containing the product to be detected;

[0106] Input the image containing the product to be detected into the neural network-based recognition system, and the neural network-based recognition system outputs the product information to be detected;

[0107] Obtaining an image containing the product to be detected ...

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Abstract

The invention discloses a commodity identification method and device based on a neural network, and a self-service cashier desk. The method comprises: obtaining an image containing a commodity to be detected; and inputting the image containing the commodity to be detected into an identification system based on a neural network; and enabling the identification system based on a neural network to output the information of the commodity to be detected. The method obtains a product image through an ordinary camera, obtains the product information by using an image recognition algorithm based on the neural network without the need of the third-party identification, a user only needs to put the purchased product under the camera to obtain the image, and then the identification is realized. The method and device are low in use cost and high in identification accuracy.

Description

technical field [0001] The invention relates to a neural network-based product identification method, device, and self-service cash register, and belongs to the field of deep learning neural network and image recognition. Background technique [0002] There are two main types of commodity machine identification in the existing self-service settlement scenarios: [0003] The first is based on RFID electronic tags (Radio Frequency Identification, also known as radio frequency identification) to identify settlement methods. First, specify the corresponding relationship between commodities for each electronic tag with a unique ID in the database, and then post the electronic tag to all On this type of product on sale. During settlement, the unique ID of the electronic tag is read out through the card reader, and the information of the product is queried in the database based on the ID, so as to complete the "identification" of the product and perform settlement. This settlement ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07G1/00A47F9/04G06Q20/20G06Q20/32G07G3/00G07C9/00G06K9/00G06N3/08
CPCA47F9/04G06N3/08G06Q20/208G06Q20/3276G07G1/0018G07G1/0036G07G1/0045G07G1/0072G07G1/01G07G1/12G07G3/00G06N3/088A47F2009/041G07C9/37G06V20/10G06N3/045
Inventor 陈子林王良旗
Owner BINGOBOX BEIJING TECH CO LTD
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