Grant: Collaborative Research and Development Grants
École de technologie supérieure
$56,000.00
Improvement of full-duplex RFID tag detection for live stock identification and tracking during transport
EF 2014-15
Résumé
Food safety is of paramount importance to Canadians for health as well as for economical reasons. Animal traceability from farms to food tables is one important mean to ensure such safety by limiting the spread of disease among livestock and by quickly containing the spread of any contaminated meat products that may find their way into the food chain. RadioFrequency IDentification (RFID) technology is extensively used to track livestock from birth to the slaughterhouse. However, while this technology makes tracking easy, its use in tracking cattle during transport in large metallic trailers lacks the robustness and reliability required. Indeed, during the phases of embarking and disembarking of cattle, the animals cause the trailers to vibrate which in turn causes the RFID reader to malfunction and miss reading the animal's tag. Because government traceability regulations require a 100% success rate in reading all tags, this problem must be addressed and a solution must be found before this technology can be deployed on a wide scale. The goal of the present project is to work with our industrial partners, Argi-Traçablité Intenrational and Epsilia, to isolate the mechanisms that cause RFID reader failure, to understand their underlining physics and to develop proper solutions that will guarantee 100% read success rate. A hybrid approach combining electromagnetic simulation, signal processing and experimental vibration testing is proposed to meet the stated objective.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
447486-2013
Name nom
Kouki, Ammar
Department département
Génie électrique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
56000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
102
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Animal management (animal diseases, breeding)
Area of application fr
Gestion des animaux (maladies animales, reproduction)
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Partie
2
Nb partie
2
Application title
Improvement of full-duplex RFID tag detection for live stock identification and tracking during transport
Keyword
NSERC
Application summary
Food safety is of paramount importance to Canadians for health as well as for economical reasons. Animal traceability from farms to food tables is one important mean to ensure such safety by limiting the spread of disease among livestock and by quickly containing the spread of any contaminated meat products that may find their way into the food chain. RadioFrequency IDentification (RFID) technology is extensively used to track livestock from birth to the slaughterhouse. However, while this technology makes tracking easy, its use in tracking cattle during transport in large metallic trailers lacks the robustness and reliability required. Indeed, during the phases of embarking and disembarking of cattle, the animals cause the trailers to vibrate which in turn causes the RFID reader to malfunction and miss reading the animal's tag. Because government traceability regulations require a 100% success rate in reading all tags, this problem must be addressed and a solution must be found before this technology can be deployed on a wide scale. The goal of the present project is to work with our industrial partners, Argi-Traçablité Intenrational and Epsilia, to isolate the mechanisms that cause RFID reader failure, to understand their underlining physics and to develop proper solutions that will guarantee 100% read success rate. A hybrid approach combining electromagnetic simulation, signal processing and experimental vibration testing is proposed to meet the stated objective.