Supercharge Your Innovation With Domain-Expert AI Agents!

Model sample collection method, model sample updating method, electronic equipment and storage medium

A technology for sample collection and model update, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of repetitive work and high operating costs, and achieve the effect of solving repetitive tasks and high operating costs

Inactive Publication Date: 2020-07-17
北京云迹科技股份有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiment of the present application is to provide a model sample collection method, update method, electronic equipment and storage medium, combine the user's shopping behavior to obtain training samples, automatically train and update the model, and solve the repetitive work caused by manual repeated training and high operating costs

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
  • Model sample collection method, model sample updating method, electronic equipment and storage medium
  • Model sample collection method, model sample updating method, electronic equipment and storage medium
  • Model sample collection method, model sample updating method, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] Please see figure 1 , figure 1 It is a flow chart of a model sample collection method provided in the embodiment of this application. This method is applied to the container side, such as a common smart container. During the daily work of the smart container, the image of the product purchased by the user is collected as a sample for model training. The method specifically may include the following steps:

[0066] Step S100: receiving the product image carrying product information sent by the image acquisition device to determine the type of product purchased by the user;

[0067] Install a camera in the smart container to collect images of the goods purchased by the user. Because there are generally two purchase methods in existing smart containers, one of which is contactless shopping, that is, users scan codes to enter user terminals such as apps or small programs to purchase goods, select the desired goods to place an order, and submit the order. , the product s...

Embodiment 2

[0102] The embodiment of the present application provides a model sample collection device, which is applied to the container end in embodiment 1, such as Figure 6 As shown, it is a structural block diagram of a model sample collection device, and the device may specifically include:

[0103] The image receiving module 100 is used to receive the commodity image carrying commodity information sent by the image acquisition device, so as to determine the type of commodity purchased by the user;

[0104] An image labeling module 200, configured to label the commodity image according to the category of the commodity, and generate sample tuple data;

[0105] The data sending module 300 is configured to send the sample tuple data to cloud storage, so as to use the sample tuple data to train and update the commodity recognition model.

[0106]Receive the product image with product information collected by the image acquisition device at the container side, and obtain the type of pro...

Embodiment 3

[0128] An embodiment of the present application provides an electronic device, the electronic device includes a memory and a processor, the memory is used to store a computer program, and the processor runs the computer program so that the computer device executes the model described in Embodiment 1 Sample collection method and model update method.

[0129] An embodiment of the present application provides a readable storage medium, where computer program instructions are stored in the readable storage medium, and when the computer program instructions are read and executed by a processor, the model sample collection described in Embodiment 1 is executed method and model update method.

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 embodiment of the invention provides a model sample collection method, a model sample updating method, electronic equipment and a storage medium, and relates to the technical field of intelligentvending. The method comprises the following steps: receiving a commodity image carrying commodity information sent by an image acquisition device so as to determine the type of commodities purchased by a user; labeling the commodity image according to the commodity type to generate sample tuple data; sending the sample tuple data to a cloud for storage so as to train and update a commodity identification model by utilizing the sample tuple data. According to the method, the model is automatically trained and updated in combination with the shopping behavior of the user, and the problems of repeated work and high operation cost caused by manual repeated training are solved.

Description

technical field [0001] The present application relates to the technical field of smart vending, and in particular, to a method for collecting model samples, an updating method, electronic equipment, and a storage medium. Background technique [0002] Ordinary vending machines mostly use RFID, gravity sensing and other technologies to detect the products sold. However, due to the problems of high material costs and high operating costs, smart vending machines have gradually become the mainstream trend. [0003] Smart vending machines usually use deep learning-based visual recognition technology, which requires a series of complex model training processes. When adding new types of goods, manual training is required again, which increases repetitive work and increases operating costs. Contents of the invention [0004] The purpose of the embodiment of the present application is to provide a model sample collection method, update method, electronic equipment and storage medium...

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): G06K9/00G06K9/62G07F9/02
CPCG07F9/026G06V20/36G06V20/52G06F18/214
Inventor 李梦男支涛
Owner 北京云迹科技股份有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com