Reference number : GC-2017-Q4-00542, amendment number : , agreement type : G, recipient legal name : England, Andrea (Sheridan Institute of Technology and Advanced Learning), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for colleges, program name french : Subventions d'engagement partenarial pour les collèges, program purpose english : Traditional methods of tracking fashion trends in the clothing industry is a sophisticated and complex process_x000D_
that is time consuming and expensive for professionals throughout the clothing design process. However,_x000D_
advancements in the automatic identification of some of these trends can help fashion design companies to_x000D_
make this process more efficient and economical. Such automated identification would allow professional_x000D_
designers to make more precise decisions regarding new designs faster and with greater confidence, allowing_x000D_
them more time to focus on producing creative ideas rather than analyzing current or historical clothing trends_x000D_
manually. Gertex Hosiery Inc., the industry partner for this proposed applied research project, aims to_x000D_
implement an Artificial Intelligence (AI) solution for recognizing patterns in recent fashion trends (colour, cut,_x000D_
etc.)._x000D_
The Sheridan College research team proposes to design, implement and test an algorithm to recognize_x000D_
these patterns to assist the Gertex research and development (R&D) team in their continuous analysis of recent_x000D_
trends. The proposed research will investigate the performance of available pattern recognition algorithms,_x000D_
such as neural networks and support vector machines, in identifying patterns related to clothing trends. This_x000D_
investigation will help the research team to identify the unique characteristics of clothing pattern recognition,_x000D_
which in turn will provide design guidelines for developing an appropriate algorithm. This algorithm could be a_x000D_
customized implementation of one of the available pattern recognition algorithms or could be a combination of_x000D_
multiple pattern recognition algorithms._x000D_
The applied research to be undertaken during this project aims to create a useful and novel software tool_x000D_
that will enable Gertex's R&D team to identify specific buying trends automatically, thereby increasing_x000D_
productivity. The proposed project will also develop HQP by engaging students to address real-world_x000D_
problems, which will increase their technical skills and their potential for contributing to future innovation., program purpose french : Traditional methods of tracking fashion trends in the clothing industry is a sophisticated and complex process_x000D_
that is time consuming and expensive for professionals throughout the clothing design process. However,_x000D_
advancements in the automatic identification of some of these trends can help fashion design companies to_x000D_
make this process more efficient and economical. Such automated identification would allow professional_x000D_
designers to make more precise decisions regarding new designs faster and with greater confidence, allowing_x000D_
them more time to focus on producing creative ideas rather than analyzing current or historical clothing trends_x000D_
manually. Gertex Hosiery Inc., the industry partner for this proposed applied research project, aims to_x000D_
implement an Artificial Intelligence (AI) solution for recognizing patterns in recent fashion trends (colour, cut,_x000D_
etc.)._x000D_
The Sheridan College research team proposes to design, implement and test an algorithm to recognize_x000D_
these patterns to assist the Gertex research and development (R&D) team in their continuous analysis of recent_x000D_
trends. The proposed research will investigate the performance of available pattern recognition algorithms,_x000D_
such as neural networks and support vector machines, in identifying patterns related to clothing trends. This_x000D_
investigation will help the research team to identify the unique characteristics of clothing pattern recognition,_x000D_
which in turn will provide design guidelines for developing an appropriate algorithm. This algorithm could be a_x000D_
customized implementation of one of the available pattern recognition algorithms or could be a combination of_x000D_
multiple pattern recognition algorithms._x000D_
The applied research to be undertaken during this project aims to create a useful and novel software tool_x000D_
that will enable Gertex's R&D team to identify specific buying trends automatically, thereby increasing_x000D_
productivity. The proposed project will also develop HQP by engaging students to address real-world_x000D_
problems, which will increase their technical skills and their potential for contributing to future innovation., agreement title english : Smart Pattern Detector for Clothing, agreement title french : Smart Pattern Detector for Clothing, agreement number : CARD1, agreement value : 25000.0, agreement start date : 2018-02-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada