NDLI: Line-scan hyperspectral imaging for real-time in-line poultry fecal detection

Content Provider	Springer Nature Link
Author	Park, Bosoon Yoon, Seung Chul Windham, William R. Lawrence, Kurt C. Kim, Moon S. Chao, Kuanglin
Copyright Year	2011
Abstract	The ARS multispectral imaging system with three-band common aperture camera was able to inspect fecal contaminants in real-time mode during poultry processing. Recent study has demonstrated several image processing methods including binning, cuticle removal filter, median filter, and morphological analysis in real-time mode could remove most false positive errors. The ARS research groups (Beltsville, MD and Athens, GA) and their industry partner are now merging the fecal detection and systemically disease detection systems onto a common platform using a line-scan hyperspectral imaging system. This system will aid in commercialization by creating one hyperspectral imaging system with user-defined wavelengths that can be installed at different locations of the processing line to solve significant food safety problems of disease as well as contaminant detection. Thus, this research demonstrated the feasibility of line-scan hyperspectral imaging system in terms of processing speed and detection accuracy for a real-time, in-line fecal detection at current processing speed (at least 140 birds per min) of commercial poultry plant. Our preliminary results showed the real-time hyperspectral imaging system could detect small amount (about 10 mg) of fecal (duodenum, cecum, colon) and ingesta contaminants. The system performance could be improved by optimizing line lighting system especially near-infrared bands for quality images and additional spectral images to minimize false positive detection errors. The newly developed line-scan hyperspectral imaging system could improve Food Safety Inspection Service (FSIS)’s poultry safety inspection program significantly.
Starting Page	25
Ending Page	32
Page Count	8
File Format	PDF
ISSN	19327587
Journal	Sensing and Instrumentation for Food Quality and Safety
Volume Number	5
Issue Number	1
e-ISSN	19329954
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Hyperspectral Multispectral imaging Food safety On-line inspection Poultry Fecal Machine vision Imaging spectroscopy Food Science Engineering Chemistry/Food Science
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Safety, Risk, Reliability and Quality Chemical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Real-time multispectral imaging system for online poultry fecal inspection using unified modeling language

Machine vision system for online inspection of freshly slaughtered chickens

Textural analysis of hyperspectral images for improving contaminant detection accuracy

The development of a simple multispectral algorithm for detection of fecal contamination on apples using a hyperspectral line-scan imaging system

Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of apples

Detection of Campylobacter colonies using hyperspectral imaging

Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system

Hyperspectral and multispectral imaging for food quality and safety

Design and calibration of a dual-band imaging system

Line-scan hyperspectral imaging for real-time in-line poultry fecal detection

Similar Documents

Real-time multispectral imaging system for online poultry fecal inspection using unified modeling language

Machine vision system for online inspection of freshly slaughtered chickens

Textural analysis of hyperspectral images for improving contaminant detection accuracy

The development of a simple multispectral algorithm for detection of fecal contamination on apples using a hyperspectral line-scan imaging system

Hyperspectral reflectance and fluorescence line-scan imaging for online defect and fecal contamination inspection of apples

Detection of Campylobacter colonies using hyperspectral imaging

Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system

Hyperspectral and multispectral imaging for food quality and safety

Design and calibration of a dual-band imaging system

Line-scan hyperspectral imaging for real-time in-line poultry fecal detection