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Grant: Alliance Grants

Lakehead University

$50,000.00

A Cloud-based System for the Integration of Ultraviolet Light Devices to Prevent the Spread of COVID-19_x000d_ _x000d_ _x000d_ _x000d_

EF 2020-21

Résumé
Currently, UV sterilization is becoming a fast-growing and invaluable option for disinfecting surfaces and workplaces over manual solutions because it is not wet and does not leave behind residue. While it is used in hospitals and food manufactures, UV is hardly considered for retails shops, restaurants, classrooms, medical offices, etc. because it is confusing to figure out which UV sterilization device is the right choice for the facility. For example, hospital-grade mobile UV sterilizing systems can cost anywhere between $50,000 and $90,000 US per robot, which is too expensive for some small businesses. Handheld UV devices sold online are not recommended by the Illuminating Engineering Society (IES) because they are not effective against COVID-19, and the handling of UV should be done in a more controlled environment. Also, UV-based disinfection systems need to be optimized according to space layout, size, the intensity of the light, exposure time, which require specialist assessment and optimization. In this research project, we will work with ASM Innovations Inc. and Qponics Biotechnology Inc. to design and develop a cloud-based system that integrates different types of UV devices (UV robots, smart fixture UV bulbs, etc.) in the environment as one system. The proposed solution employs Artificial Intelligent (AI) mechanisms to optimize the choice of UV devices and their operation according to the location variables (e.g., size, geometry, layout, type of rooms). Furthermore, it is expected to be cheaper than existing solutions because the computations are carried on the cloud system. The proposed solution will help Canada to ramp up its technological capacity to fight COVID-19 considering the tremendous amount of work ahead of us to disinfect public spaces and create safe environments for Canadians. Furthermore, considering the huge international demand, Canada needs this technology to be internationally competitive in this area. Finally, the proposed system will potentially reduce healthcare-associated infections and their consequences, including health complications, deaths, and extra costs.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
555186-2020
Name nom
Yassine, Abdulsalam
Department département
Software Engineering, Dept. of
Organization id
25
Institution établissement
Lakehead University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
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
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2705
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Software and development
Research subject fr
Logiciels et développement
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
A Cloud-based System for the Integration of Ultraviolet Light Devices to Prevent the Spread of COVID-19_x000d_ _x000d_ _x000d_ _x000d_
Keyword
NSERC
Application summary
Currently, UV sterilization is becoming a fast-growing and invaluable option for disinfecting surfaces and workplaces over manual solutions because it is not wet and does not leave behind residue. While it is used in hospitals and food manufactures, UV is hardly considered for retails shops, restaurants, classrooms, medical offices, etc. because it is confusing to figure out which UV sterilization device is the right choice for the facility. For example, hospital-grade mobile UV sterilizing systems can cost anywhere between $50,000 and $90,000 US per robot, which is too expensive for some small businesses. Handheld UV devices sold online are not recommended by the Illuminating Engineering Society (IES) because they are not effective against COVID-19, and the handling of UV should be done in a more controlled environment. Also, UV-based disinfection systems need to be optimized according to space layout, size, the intensity of the light, exposure time, which require specialist assessment and optimization. In this research project, we will work with ASM Innovations Inc. and Qponics Biotechnology Inc. to design and develop a cloud-based system that integrates different types of UV devices (UV robots, smart fixture UV bulbs, etc.) in the environment as one system. The proposed solution employs Artificial Intelligent (AI) mechanisms to optimize the choice of UV devices and their operation according to the location variables (e.g., size, geometry, layout, type of rooms). Furthermore, it is expected to be cheaper than existing solutions because the computations are carried on the cloud system. The proposed solution will help Canada to ramp up its technological capacity to fight COVID-19 considering the tremendous amount of work ahead of us to disinfect public spaces and create safe environments for Canadians. Furthermore, considering the huge international demand, Canada needs this technology to be internationally competitive in this area. Finally, the proposed system will potentially reduce healthcare-associated infections and their consequences, including health complications, deaths, and extra costs.