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

A recognition method and foreign object detection technology, applied in food science, application, tobacco, etc., can solve problems such as misjudgment, achieve high misjudgment rate, improve correct recognition rate, and facilitate real-time processing

Inactive Publication Date: 2005-07-20
CHONGQING UNIV
View PDF0 Cites 5 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 with reference to the 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 starter is used to generate a high-speed airflow. The tobacco leaf flow is coupled to the airflow and ejected at a high speed (about 5m / s). When the tobacco leaf flow is suspended in the air , Two high-speed CCD linear cameras (5000 lines / s) are used to simultaneously capture color images of a certain range of tobacco and foreign matter mixtures from the upper and lower sides. The light source uses light-emitting diodes instead of ordinary fluorescent tubes.

[0039] 2. The image obtained by the CCD linear array camera is transmitted to the DSP embedded system for processing, and the position s...

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 recognizing foreign objects with obvious texture characteristics in online item detection. Mainly used for foreign body detection of tobacco and other items. Background technique: [0002] At present, the conventional foreign body identification method used in online inspection systems for tobacco and other items is based on pixel chromaticity statistics. The basic principle is to use the difference in color between tobacco and foreign body to determine whether the pixel in the unit belongs to tobacco or foreign body. , And then determine whether the unit contains foreign objects. The working process has the following basic steps: 1. Chromaticity space transformation: transform from RGB space to Ohta or HIS space; 2. Calculate the discrimination threshold: Count the range of the color parameters of tobacco leaves and various foreign objects in the chromaticity space (such as R , G, B, etc.) to obtain the upper and lowe...

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 Applications(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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap