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

Lines feature on-line identifying method for detecting foreign matter in food

A recognition method and foreign object detection technology, applied in food science, applications, tobacco, etc., can solve the problems of misjudgment and other problems, achieve high misjudgment rate, facilitate real-time processing, and improve the effect of correct recognition rate

Inactive Publication Date: 2007-01-10
CHONGQING UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the actual situation, some foreign matter overlaps with tobacco in a large range in the color control, so it is easy to misjudgment only based on the color of the pixel

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
  • Lines feature on-line identifying method for detecting foreign matter in food
  • Lines feature on-line identifying method for detecting foreign matter in food
  • Lines feature on-line identifying method for detecting foreign matter in food

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Taking the identification of tobacco as an example, a specific embodiment of the present invention will be described below in conjunction with the accompanying drawings.

[0037] combine figure 1 with figure 2 , the specific implementation of this method is as follows:

[0038] 1. Image capture: On the production line, when the tobacco leaf flow is conveyed to the back end of the conveyor belt, a high-speed airflow is generated by the starting device, and the tobacco leaf flow is coupled in the airflow and ejected at a high speed (about 5m / s). When the tobacco leaf flow is suspended in the air , using two high-speed CCD line array cameras (5000 lines / s), simultaneously capture color images of tobacco and foreign matter mixture within a certain range from the upper and lower sides. The light source adopts light-emitting diodes instead of ordinary fluorescent tubes.

[0039] 2. The image obtained by the CCD line array camera is transmitted to the DSP embedded system f...

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 present invention relates to an on-line identification method for detecting foreign matter in article by utilizing grain chracteristics. Said method includes the following steps: (1). shooting image; (2). image transmission; (3). foreign matter identification processing; (4). identification signal transmission; and (5). removing foreign matter. Said invention adopts LED as background light source, and uses the colour close the colour of article as background colour and adopts FFT to make grain analysis of the image so as to raise correct identification rate of articles of tobacco, etc. and foreign matter.

Description

Technical field: [0001] The invention relates to a method for identifying foreign objects with obvious texture features in online inspection of articles. It is mainly used for foreign object detection of tobacco and other items. Background technique: [0002] At present, the conventional foreign object recognition method used in the online detection system of tobacco and other items is based on the chromaticity statistical method of pixels. The basic principle is to use the difference in color between tobacco and foreign objects to judge whether the pixels in the unit belong to tobacco or foreign objects. , and then judge whether there are foreign objects in the unit. Its working process has the following basic steps: 1. Chromaticity space transformation: transform from RGB space to Ohta or HIS space; 2. Calculation of discrimination threshold: count the range of color parameters of tobacco leaves and various foreign objects in chromaticity space (such as R , G, B, etc.), ...

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 Patents(China)
IPC IPC(8): A24C5/34
Inventor 钟先信姚富光唐晓初张勇
Owner CHONGQING UNIV
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