Self-service cashier AI loss prevention system and method based on image recognition

A technology of image recognition and cash register terminal, which is applied in point-of-sale network systems, character and pattern recognition, payment system structure, etc. It can solve problems such as difficult loss prevention, labor and cost consumption, and inability to identify anti-theft labels and commodities one by one. , to achieve good damage prevention effect

Inactive Publication Date: 2020-06-09
青岛创捷中云科技有限公司
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Aiming at the defects in the prior art, the present invention provides a self-service cashier AI loss prevention system and method based on image recognition, which solves the problem that the existing self-service cashier system has too much manual intervention in the loss prevention scheme, and the anti-theft labels and commodities cannot be checked one by one. Corresponding identification is labor-intensive and cost-intensive, and it is difficult to better achieve loss prevention

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-service cashier AI loss prevention system and method based on image recognition
  • Self-service cashier AI loss prevention system and method based on image recognition
  • Self-service cashier AI loss prevention system and method based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] This embodiment provides a self-service cashier AI loss prevention method based on image recognition based on the above image recognition-based self-service cashier AI loss prevention system, such as figure 1 As shown, it specifically includes the following steps:

[0049] Step 1: The customer picks up the product and enters the scanning area to scan the barcode. The barcode scanning module collects the barcode of the product and sends the barcode information to the server;

[0050] Step 2: After scanning, the customer puts the product into the bagging area, and the video capture module collects the dynamic image data during the customer's transaction and sends it to the server;

[0051] Step 3.1: The server judges that it has received the barcode information in step 1, and proceeds to the next step;

[0052] Step 3.2: Identify the product in hand, obtain the product information data, and then compare the received barcode information with the product information data; ...

Embodiment 2

[0057] This embodiment provides an image recognition-based self-service cash register AI loss prevention method based on the image recognition-based self-service cash register AI loss prevention system, which specifically includes the following steps:

[0058] Step 1: The customer picks up the product and enters the scanning area to scan the barcode. The barcode scanning module collects the barcode of the product and sends the barcode information to the server;

[0059] Step 2: After scanning, the customer puts the product into the bagging area, and the video capture module collects the dynamic image data during the customer's transaction and sends it to the server;

[0060] Step 3.1: The server judges that it has received the barcode information in step 1, and proceeds to the next step;

[0061] Step 3.2: Identify the product in hand, obtain the product information data, and then compare the received barcode information with the product information data;

[0062] Step 3.3: S...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a self-service cashier AI loss prevention system and method based on image recognition. The invention relates to the technical field of self-service cashier loss prevention. The system comprises a self-service cashier terminal, a server and a mobile terminal, wherein the self-service cashier terminal comprises a bar code scanning module and a video acquisition module, and the server is used for identifying commodities in hands of customers in the dynamic image data to obtain commodity information data, comparing the received bar code information with the commodity information data and feeding back a comparison result to the self-service cashier terminal and/or the mobile terminal; and identifying the commodity to obtain commodity information data, comparing the commodity information data with the received bar code information, and feeding back a comparison result to the self-service cashier terminal and/or the mobile terminal for reminding or alarming. Accordingto the invention, the problems that the loss prevention scheme of the existing self-service cashier system is excessive in manual intervention, the anti-theft labels and the commodities cannot be identified in a one-to-one correspondence manner, the manpower and the cost are consumed, and the loss prevention is difficult to better realize are solved.

Description

technical field [0001] The invention relates to the technical field of self-service cashier loss prevention, in particular to an image recognition-based self-service cashier AI loss prevention system and method. Background technique [0002] Self-service cashiers first appeared in large supermarkets in developed countries such as Europe and the United States, and were welcomed by customers because of their convenient and fast self-service. Nowadays, self-service cash registers have entered our country and are gradually being used in shopping malls, supermarkets, and convenience stores in many cities. On the one hand, the form of self-service cash registers is more convenient and faster. Through human-computer interaction, customers can complete operations by themselves, saving money. It saves a lot of time in queuing for checkout, improves efficiency, and improves customers' shopping experience; on the other hand, the installation of self-service cash register equipment save...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K17/00G06K9/00G07G1/00G07G1/14G06Q20/20
CPCG06K17/0025G07G1/0045G07G1/14G06Q20/208G06Q20/202G06V20/00
Inventor 边兆显史中法王亮
Owner 青岛创捷中云科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap