Supermarket shopping cart hand identification method and identification system thereof

A recognition method, the driver's technology, applied in the field of image recognition, can solve problems such as unstable photometry and affecting the effect of photometry

Inactive Publication Date: 2017-05-24
NANJING IEEMOO INFORMATION TECH CO LTD
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] One of the main functions of the supermarket smart shopping cart is to be able to recognize the customer's hand and whether it has goods in it. The existing skin color detection method is mainly based on the detection method of the face. In order to ensure that the face is detected as much as possible Included in the metering area, the size of the face frame must be increased, so that the data of the background and hair are more or less included in the metering area of ​​the face, because the brightness information of the background varies greatly under different scenes and lighting conditions Large, and combined with the influence of hair and eye color, the metering based on the face is very unstable, which greatly affects the effect of metering

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
  • Supermarket shopping cart hand identification method and identification system thereof
  • Supermarket shopping cart hand identification method and identification system thereof
  • Supermarket shopping cart hand identification method and identification system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A recognition system based on a supermarket shopping cart hand recognition method, comprising:

[0048] The hand segmentation calculation module, according to the hand movement trend, judges and obtains the picture of the product that the hand may hold;

[0049] Skin color calculation module, it is impossible for the opponent to hold the pictures of the product for skin color segmentation processing;

[0050] Hand-held product judgment module to judge whether the hand really holds the product;

[0051] The statistics module judges whether the user has violated the regulations through the statistics of the results of the hand-held commodity judgment module.

[0052] A supermarket shopping cart hand recognition method, according to the following steps:

[0053] (1) Determine the position of the hand, take the opening of the shopping cart as the reference plane H1, monitor whether there is a target above the reference plane, and save the picture if there is;

[0054] St...

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 supermarket shopping cart hand identification method. The method comprises the following steps of (1) determining a hand position, taking a shopping cart opening as a reference surface H1, monitoring whether an object is located above the reference surface, and storing an image if the object is located above the reference surface; (2) carrying out image processing, and through establishing a skin color model, processing the image acquired from the step1; and (3) determining an object holding state, and carrying out secondary determination on the image acquired from the step2. In the invention, through steps of motion detection, skin color detection and hand and commodity determination, whether a hand holds a commodity can be accurately determined. By using the method, extra burdens and requirements to a user are not generated, and a whole determination process is automatically performed, which is very simple and convenient.

Description

technical field [0001] The invention relates to an image recognition method, in particular to a hand recognition method of a shopping cart in a supermarket. Background technique [0002] One of the main functions of the supermarket smart shopping cart is to be able to recognize the customer's hand and whether it has goods in it. The existing skin color detection method is mainly based on the detection method of the face. In order to ensure that the face is detected as much as possible Included in the metering area, the size of the face frame must be increased, so that the data of the background and hair are more or less included in the metering area of ​​the face, because the brightness information of the background varies greatly under different scenes and lighting conditions Large, and combined with the influence of hair and eye color, the metering based on the face is very unstable, which greatly affects the effect of metering. Contents of the invention [0003] The te...

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): G06K9/00
CPCG06V40/28
Inventor 韩静陈霄宇张劲松李明竹闫丹王琴郭恩来高佳妮朱均伟张炜张毅
Owner NANJING IEEMOO INFORMATION TECH CO LTD
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