Grant: Alliance Grants
Concordia University
$60,000.00
Object Detection in X-ray Images
EF 2024-25
Résumé
This project aims to develop algorithms for detecting dangerous objects in X-ray images. This project will be done in collaboration with VITA Detection Inc. VITA is a company specializing in making X-ray scanners for its clients. We will develop advanced machine learning and computer vision models for X-ray image object detection. The project will include internships where students will work directly at the company, gaining hands-on experience in an industry research setting.
The outcome of this project will have significant benefits for Canada. It will enhance the capabilities of the advanced X-ray scanners produced by VITA Detection Inc. This will contribute directly to the nation's commitment to ensuring the safety and resilience of critical infrastructures, transportation hubs, and public spaces.
VITA Detection Inc. is committed to integrating the research outcomes in its products at the end of the project. This will ensure that the project's results have a lasting impact in Canada.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
593792-2024
Name nom
Wang, Yang Y
Department département
Computer Science and Software Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
60000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Object Detection in X-ray Images
Keywords
computer vision; machine learning; x-ray images
Application summary
This project aims to develop algorithms for detecting dangerous objects in X-ray images. This project will be done in collaboration with VITA Detection Inc. VITA is a company specializing in making X-ray scanners for its clients. We will develop advanced machine learning and computer vision models for X-ray image object detection. The project will include internships where students will work directly at the company, gaining hands-on experience in an industry research setting.
The outcome of this project will have significant benefits for Canada. It will enhance the capabilities of the advanced X-ray scanners produced by VITA Detection Inc. This will contribute directly to the nation's commitment to ensuring the safety and resilience of critical infrastructures, transportation hubs, and public spaces.
VITA Detection Inc. is committed to integrating the research outcomes in its products at the end of the project. This will ensure that the project's results have a lasting impact in Canada.
