A cargo order processing method, device, server, shopping terminal and system

An order processing and server technology, which is applied in the fields of shopping terminals and systems, goods order processing methods, servers, and devices, can solve problems such as unfavorable large-scale popularization, difficulty in ensuring stability, and high hardware costs for business realization, and achieves the benefits of large-scale use. Large-scale promotion and use, good stability, saving the effect of self-service cashier equipment

Active Publication Date: 2020-09-04
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method requires various types of auxiliary equipment, and requires a large number of devices in multiple places in the mall, and requires high hardware costs for business implementation.
At the same time, this method requires the data of each sensor device to cooperate with each other to count the goods, and the stability is difficult to guarantee, which is not conducive to large-scale promotion and use

Method used

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  • A cargo order processing method, device, server, shopping terminal and system
  • A cargo order processing method, device, server, shopping terminal and system
  • A cargo order processing method, device, server, shopping terminal and system

Examples

Experimental program
Comparison scheme
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Embodiment approach

[0112] S42: After acquiring the associated image, use the cargo detection model obtained by the machine learning algorithm to detect the cargo information in the correlated image, and determine the difference information of the cargo;

[0113] S44: Detect the cargo identification in the associated image, and use the detected cargo identification as the cargo difference information;

[0114] When the recognition of the cargo identification mark in the associated image fails, the cargo detection model obtained by the machine learning algorithm is used to detect the cargo information in the correlated image to determine the difference information of the cargo.

[0115] The cargo detection model can be selected from SVM (Support Vector Machine, support vector machine), RCNN (Regions with CNN, regional convolutional neural network, a target detection algorithm) and other machine learning algorithms and variants. The selected machine learning algorithm can be trained and constructed...

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Abstract

The embodiment of this specification discloses a method, device, server, shopping terminal and system for processing a goods order. The method includes: the client detects whether the goods in the storage container have changed based on image recognition; if there is a change, obtains an associated image of the change in the goods in the storage container and sends it to the server; the server based on the The associated image identifies the difference information of the goods in the storage container, and generates corresponding goods order change information; based on the goods order change information, the corresponding order information of the client is updated; the server sends the updated order information to The client; the client displays the updated order information, and consumers can check the shopping list that has been placed in the shopping cart.

Description

technical field [0001] The embodiments of this specification belong to the technical field of computer data processing, and in particular relate to a method, device, server, shopping terminal and system for processing a goods order. Background technique [0002] The rapid development of computer and Internet technology has led to the rapid rise of many emerging industries, changing and facilitating the shopping methods of many consumers. Unmanned supermarkets are currently a hotspot for market development that operators of major commodity shopping platforms are focusing on, and it involves technical issues of how to conveniently and reliably process user order data. [0003] At present, a self-service order settlement scheme can be adopted in unmanned supermarkets, mainly by arranging multiple sensing devices on the shelves and aisles of the shopping mall, such as cameras, pressure sensors, infrared sensors, wireless networks and other equipment, to monitor users from the sh...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0635G06Q10/087G10L15/30H04L67/02H04L67/10H04L67/01H04L67/00H04L69/329
Inventor 张鸿曾晓东
Owner ADVANCED NEW TECH CO LTD
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