Grant: Collaborative Research and Development Grants
Saint Mary's University
$15,000.00
Adaptive recognition of time series of images for warehouse inventory cataloging
EF 2016-17
Résumé
This project will combine advanced image recognition techniques with machine learning to develop an inventory cataloging system. Missing Link Technologies manages data centers hosting a large number of racks consisting of communication servers. In order to maintain the inventory of servers, an expert needs to physically sift through the racks and make decisions on the reconfiguration of servers. The company has developed software to simplify the decision process by making recommendations on available shelves for new equipment. The company proposes to deploy a system to acquire images of racks of networking equipment. The image acquisition can be done by a human taking images of the racks and may eventually be automated with the help of a robotic system. However, in order to further automate this process, the software needs an accurate database of the existing inventory. This project will design and implement a module that will analyze the acquired images to summarize the content of the server racks and store the summaries in a database. The database will also include an image library consisting of crisp and clear images of the equipment that is found on these racks. The contents of the racks will be matched against the equipment in the image library. The module will include a feedback mechanism that will be used by a machine learning algorithm to automatically update the system for improved performance in the future. As a result, the system will continue to improve during its operational phase without software modifications. The company's research shows that there is no other comparable product in the market. The proposed system will give them a competitive advantage with increased productivity and efficient management of equipment.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
494282-2016
Name nom
Lingras, Pawan
Department département
Mathematics and Computing Science
Organization id
85
Institution établissement
Saint Mary's University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
15000
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
514
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Communications equipment
Area of application fr
Matériel de télécommunications
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Computer vision
Research subject fr
Vision artificielle
Partie
1
Nb partie
2
Application title
Adaptive recognition of time series of images for warehouse inventory cataloging
Keyword
NSERC
Application summary
This project will combine advanced image recognition techniques with machine learning to develop an inventory cataloging system. Missing Link Technologies manages data centers hosting a large number of racks consisting of communication servers. In order to maintain the inventory of servers, an expert needs to physically sift through the racks and make decisions on the reconfiguration of servers. The company has developed software to simplify the decision process by making recommendations on available shelves for new equipment. The company proposes to deploy a system to acquire images of racks of networking equipment. The image acquisition can be done by a human taking images of the racks and may eventually be automated with the help of a robotic system. However, in order to further automate this process, the software needs an accurate database of the existing inventory. This project will design and implement a module that will analyze the acquired images to summarize the content of the server racks and store the summaries in a database. The database will also include an image library consisting of crisp and clear images of the equipment that is found on these racks. The contents of the racks will be matched against the equipment in the image library. The module will include a feedback mechanism that will be used by a machine learning algorithm to automatically update the system for improved performance in the future. As a result, the system will continue to improve during its operational phase without software modifications. The company's research shows that there is no other comparable product in the market. The proposed system will give them a competitive advantage with increased productivity and efficient management of equipment.