Grant: Applied Research and Development Grants - Level 1
Sheridan Institute of Technology and Advanced Learning
$25,000.00
Automatic Tracking of Safety-related Certifications
FY 2019-20
Summary
Tracking workplace safety certifications is an important process that ensures workplace safety while maximizing production quantity and quality. Coolbreeze, a Mississauga-based HVAC company, seeks to partner with Sheridan College to develop algorithms to automate this process to improve the process efficiency, accessibility and reliability while reducing costs associated with their manual in-house tracking process. The proposed model will involve the development of several algorithms that combine mobile computing and cloud computing for automatic tracking, administering, archiving, reporting, scheduling and analyzing all safety certifications and licenses that an individual holds throughout the course of their career. The algorithms will improve the efficiency and accessibility of safety-related certifications for verification purposes. This research project will: 1) investigate the usage of the available data analytics platforms, cloud platforms and mobile computing technologies to automate the tracking and analysis of safety-related certifications; and 2) provide guidelines/notifications on expected verification and renewal dates to meet the legislated safety requirements.The applied research to be undertaken will add a core component to an existing safety-related certification system. This component automates the certification verification and renewal process. It will also help the industry partner to select the most qualified technicians, which will improve safety and product quality and, in turn, promote client trust and attract new customers. In addition, it will engage students in addressing real-world problems, which will increase their potential for contributing to future innovation.
Program
Applied Research and Development Grants - Level 1
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
539422-2019
Name nom
England, Andrea
Department département
Head Office
Organization id
22156
Institution établissement
Sheridan Institute of Technology and Advanced Learning
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
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)
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Automatic Tracking of Safety-related Certifications
Keyword
NSERC
Application summary
Tracking workplace safety certifications is an important process that ensures workplace safety while maximizing production quantity and quality. Coolbreeze, a Mississauga-based HVAC company, seeks to partner with Sheridan College to develop algorithms to automate this process to improve the process efficiency, accessibility and reliability while reducing costs associated with their manual in-house tracking process. The proposed model will involve the development of several algorithms that combine mobile computing and cloud computing for automatic tracking, administering, archiving, reporting, scheduling and analyzing all safety certifications and licenses that an individual holds throughout the course of their career. The algorithms will improve the efficiency and accessibility of safety-related certifications for verification purposes. This research project will: 1) investigate the usage of the available data analytics platforms, cloud platforms and mobile computing technologies to automate the tracking and analysis of safety-related certifications; and 2) provide guidelines/notifications on expected verification and renewal dates to meet the legislated safety requirements.The applied research to be undertaken will add a core component to an existing safety-related certification system. This component automates the certification verification and renewal process. It will also help the industry partner to select the most qualified technicians, which will improve safety and product quality and, in turn, promote client trust and attract new customers. In addition, it will engage students in addressing real-world problems, which will increase their potential for contributing to future innovation.