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

Unmanned vending method and system based on dynamic vision

A visual and dynamic technology, applied in image data processing, image enhancement, instruments, etc., can solve the problem of time extension of deduction, and achieve the effect of high space utilization, less missed detection probability, and high discrimination error rate.

Pending Publication Date: 2021-06-18
SOUTH CHINA UNIV OF TECH
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the transmission of shopping behavior to the cloud requires good network support. From the actual experience, it is found that the delay in deduction is very long, even as long as several days.

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
  • Unmanned vending method and system based on dynamic vision
  • Unmanned vending method and system based on dynamic vision
  • Unmanned vending method and system based on dynamic vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] See attached figure 1 Said, a dynamic vision-based unmanned vending method, applied to unmanned vending cabinets, the method includes:

[0044] S100: Detect the state of the unmanned vending cabinet door, and create a shopping cart list when the unmanned vending cabinet door is in an open state;

[0045] S200: Perform biometric identification on the user's hand, and track the position of the hand when the shape of the user's hand is recognized;

[0046] S300: Set the shopping area in advance. When it is detected that the hand position information is in the shopping area, create a temporary product list and a temporary position list, store the product information detected by the user's hand in the temporary product list, and store the detected The location information of the product is added to the temporary location list;

[0047] S400: When it is detected that the hand position information is not in the shopping area, analyze the movement direction of the hand accord...

Embodiment 2

[0073] The specific operation steps of a dynamic vision-based unmanned vending method and system are as follows:

[0074] The user binds the identity information, and the cabinet door can be opened after the binding is successful.

[0075] Step 1: Real-time detection of the state of the unmanned vending cabinet door through the automatic wake-up module. When the unmanned vending cabinet door is open, a shopping cart list is created and the camera device is turned on.

[0076] Step 2: The tracking module uses the target detection algorithm to perform biometric identification on the user's hand, and detects whether the user's hand appears in the current camera picture frame by frame. If no hand is detected in the current picture, the target detection algorithm continues to read the video stream Perform loop detection; if a hand is detected in the current screen, the tracking module assigns a tracker to the currently detected hand, and then the tracker is responsible for maintain...

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 an unmanned vending method and system based on dynamic vision, and belongs to the technical field of artificial intelligence. The method comprises the following steps: detecting the state of an unmanned vending cabinet door; performing biological recognition on the hand of the user; judging the movement direction of the hand relative to the self-service vending cabinet door; judging a shopping state according to the movement direction, the temporary commodity list information and the updated temporary shopping cart information; and obtaining a final shopping result, and completing shopping. According to the invention, the accuracy of commodity identification is improved, the commodity damage rate is reduced, and the shopping experience is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and more specifically relates to a dynamic vision-based unmanned vending method and system. Background technique [0002] At present, with the rapid development of artificial intelligence, more and more industries have begun to use artificial intelligence, and the application range of unmanned vending machines is becoming wider and wider. Traditional unmanned vending cabinets are mainly divided into closed containers with touch screens and weighing containers. The working logic of the touch screen unmanned vending cabinet is that the user first selects the product, and after payment, the system transmits the product to the outlet through the motor drive to complete the shopping; the working logic of the weighing unmanned vending cabinet is in the container. A gravity sensor is installed on each floor, and the price of the product is estimated by the value change of the se...

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): G06T7/20G06K9/00G06Q30/06G07F9/00
CPCG06T7/20G06Q30/06G07F9/006G06T2207/10016G06T2207/30196G06V40/11G06V40/20G06V20/00G06V10/94
Inventor 鲍文杰万诗雅刘俊杰陈劲全余卫宇
Owner SOUTH CHINA UNIV OF TECH
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