Grants and Contributions:
Title:
Development of a Supervised Machine Learning Model for 2D Image Analysis, to Detect Corrosion and Pit in Offshore Assets
Agreement Number:
970219
Agreement Value:
$144,830.00
Agreement Date:
Apr 5, 2021 - Jan 31, 2022
Description:
In this project, qualiTEAS aims to develop a digital solution, using a machine learning (ML) approach, capable of detecting corrosion and pit from 2D images. This software will be a SaaS product that will further enhance asset inspection activities for offshore operators. Since visual imaging plays a primary role in asset inspections; thus, this solution will enormously benefit operators by automating the process of corrosion and pit detection though image analysis, which will cut down on both cost and time significantly.
Organization:
National Research Council Canada
Expected Results:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Location:
St. John's, Newfoundland & Labrador, CA A1B 3W8
Reference Number:
172-2021-2022-Q1-970219
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
765625280
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The total amended value is -3,945 dollars.
Amendment Date
Jan 12, 2022
Recipient's Legal Name:
QualiTEAS Inc.
Federal Riding Name:
St. John's East
Federal Riding Number:
10006
Program:
Industrial Research Assistance Program – Contributions to Firms
Program Purpose:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Coverage:
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.
NAICS Code:
2131
Amendments: