Grants and Contributions:
Title:
Machine learning identification of pollutants and other debris in Canadian waterways
Agreement Number:
993367
Agreement Value:
$99,990.00
Agreement Date:
Jun 1, 2022 - Oct 31, 2024
Description:
The collaborators aim to enhance an AI-based computer vision program so it can be deployed to monitor Canadian waterways and identify problem areas for plastic pollution in need of remediation. The proposed project takes Canadian (NRC) expertise in computer vision for the identification of ice and pairs that with German (DFKI) expertise in computer vision expertise in the identification of plastic to meet the Oceans Challenge Program's need for pollution remediation. The project takes an existing German computer vision program that can identify plastic in ice free waterways and applys it to Canadian waters. Because a computer vision algorithm trained to identify plastic in rivers could be confused by floating ice, it is seen as a necessary improvement to the model to train it to distinct between ice and plastic litter. The outcomes of the project can add benefit of helping to understand plastic waste situation in Canadian rivers.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
KAISERSLAUTERN, DE 67663
Reference Number:
172-2021-2022-Q1-993367
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
000000000
Recipient Type:
Not-for-profit organization or charity
Additional Information:
This agreement has been amended 2 time(s). The end date of this agreement has been modified by 213 days.
Amendment Date
Feb 29, 2024
Recipient's Legal Name:
Deutsches forschungszentrum für künstliche intelligenz gmbh
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences
Amendments: