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

Food variety detection method and system based on machine vision

A technology of machine vision and detection methods, applied in instruments, measuring devices, scientific instruments, etc., can solve problems such as misjudgment of food varieties, damage to the interests of customers or sellers, and impact on purchasing efficiency.

Inactive Publication Date: 2014-07-09
冯平 +4
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the wide variety of food, or the mistakes of salespersons, it is easy to cause wrong judgments on food varieties, affect the purchasing efficiency, and even cause damage to the interests of customers or sellers.

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
  • Food variety detection method and system based on machine vision
  • Food variety detection method and system based on machine vision
  • Food variety detection method and system based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] Embodiment of the present invention: a kind of food variety detection method based on machine vision, such as figure 1 shown, including the following steps:

[0067] S1, collect the image information of the food under test through the CCD image acquisition module;

[0068] S2, preprocessing the image information of the food under test;

[0069] S3, extracting the image features of the tested food;

[0070] S4, comparing the extracted image features of the food under test with the standard image features stored in the database to determine the type of food under test.

[0071] Such as figure 2 As shown, step S2 includes:

[0072] S21, perform morphological operations (such as selection of expansion, erosion, opening and closing operations), simplify the image data by measuring and extracting the corresponding shape in the image by certain morphological structural elements, remove irrelevant elements, and maintain the basic shape and characteristics of the tested foo...

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 food variety detection method and system based on machine vision. The method includes the following steps that firstly, image information of detected food is collected through a CCD image collecting module; secondly, the image information of the detected food is preprocessed; thirdly, image features of the detected food are extracted; fourthly, the extracted image features of the detected food are compared with standard image features stored in a database, and the variety of the detected food is determined. According to the food variety detection method and system based on machine vision, the variety of the food, especially the food without external packing can be fast and accurately detected, and human resource cost can also be reduced.

Description

technical field [0001] The invention relates to a machine vision-based food variety detection method and system, belonging to the technical field of food detection. Background technique [0002] With the continuous improvement of living standards and faster pace of life, takeaway food is becoming more and more popular among customers. When buying food, scan the barcode or QR code on the outer packaging of the food with a scanner to obtain information such as food varieties. For food such as bread and sushi, when customers purchase, there is often no outer packaging, so there is no place to paste barcodes or QR codes; when paying, it is difficult to know the variety of the food, and it can only be identified manually Judging the variety of food by its appearance, and thus determining the price. Due to the wide variety of food, or the mistakes of salespersons, it is easy to lead to wrong judgments on food varieties, affect the purchasing efficiency, and even cause damage to ...

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): G06K9/64G06K9/46G01N21/84
Inventor 冯平程涛徐刚孙高磊王燕燕
Owner 冯平
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