Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Man-machine voice interaction system and method for shopping bin

A voice interaction, man-machine technology, applied in the field of intelligent interaction, can solve problems such as lack of intelligent artificial services, affecting shopping efficiency, and high transaction management costs

Inactive Publication Date: 2020-09-11
天津原点品牌管理有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The human-computer interaction function of the shopping warehouse is simplified, and there is no intelligent artificial service, which affects the shopping efficiency
Moreover, the transaction management cost invested in the existing shopping warehouse is high
[0012] In the existing technology, the training sets of smart terminals are usually small sample sets, and the direct application of face recognition algorithms does not work well

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
  • Man-machine voice interaction system and method for shopping bin
  • Man-machine voice interaction system and method for shopping bin
  • Man-machine voice interaction system and method for shopping bin

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Such as figure 1 As shown, the present invention provides a human-computer voice interaction method for a shopping warehouse, including:

[0096] S101. Carry out multi-dimensional pronunciation feature division for different users entering and exiting the shopping warehouse, and sample data;

[0097] S102. Obtain information in multiple dimensions by using the user's voice and user ID, and determine a recognition model;

[0098] S103, the user collects a frontal photo image through a camera device;

[0099] S104, detecting the collected image by the face detection device, and performing human eye positioning;

[0100] S105, intercepting the face area in the image by preprocessing software, and performing grayscale processing on it; saving the processed image information as training sample data to the data storage center;

[0101] S106, extracting the SIFT feature in the image by feature extraction software, and saving it to the data storage center as training sample ...

Embodiment 2

[0160] The system of the present invention includes: a dialect layer, a platform layer, an age layer, a gender layer, and a domain layer;

[0161] User ID and user language are respectively sampled for gender, age, platform, and dialect layers through accent discrimination;

[0162] The gender layer includes: male, female;

[0163] Described platform layer comprises: IOS, Android, Windows;

[0164] The dialect layer includes one or a combination of Mandarin and dialects

[0165] The speech recognition method includes the following steps:

[0166] (1) Divide the pronunciation characteristics of different users who enter and exit the shopping warehouse in multiple dimensions;

[0167] (2) Perform dynamic updates;

[0168] (3) Architecting multiple domains.

[0169] In (1), the data is sampled according to six dimensions: geographical distribution, accent distribution, noise distribution, age distribution, male-to-female ratio, and device platform.

[0170] The geographical...

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 man-machine voice interaction system and method for a shopping bin, and relates to the technical field of intelligent interaction. The method comprises the steps of samplingdata; acquiring multi-dimensional information by using user voice and a user identifier, and determining an identification model; allowing a user to collect a front-side image through photographing equipment; detecting the acquired image through face detection equipment, and carrying out human eye positioning; intercepting a face area in the image, and performing graying processing; storing the processed data; extracting SIFT features in the image to serve as training sample data to be stored in a data storage center; dynamically updating identification resources according to the division; anddetermining different user information of going in and out of the shopping bin by using a user voice recognition text. According to the man-machine voice interaction method for the shopping bin, thefunctions are diversified, the working efficiency is high, the maintenance cost is low, a new module can be added in later maintenance and updating to meet the requirements of a later system, and thefunctions of the man-machine voice interaction method for the shopping bin are more complete.

Description

technical field [0001] The disclosure of the present invention relates to the field of intelligent interaction technology, in particular to a human-machine voice interaction system and method for a shopping warehouse. Background technique [0002] At the present stage, the manual duty shopping warehouse needs to use manual counting and statistics on the shopping when shopping in and out of the warehouse. After confirming that all the information of the goods in and out of the warehouse is correct, they can enter and leave the shopping warehouse. Therefore, the efficiency of entering and leaving the warehouse is very low and insufficient. In order to support the warehouse business with high warehouse access rate today. Secondly, in order to improve the efficiency of shopping in and out of the warehouse to support the business of the warehouse, it is necessary to increase the staff involved in shopping in and out of the warehouse, which will increase the cost of the business. ...

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
IPC IPC(8): G10L15/00G10L15/02G10L15/06G10L15/25G10L15/26G06K9/00
CPCG10L15/005G10L15/02G10L15/063G10L15/26G10L15/25G10L2015/0638G10L2015/0635G06V40/161G06V40/168G06V40/18
Inventor 平宇陈锐金硕张志伦
Owner 天津原点品牌管理有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com