Title:
AIAssist L2 AI Data - Realtime Automatic Target Recognition and Mapping of Tidal Fish
Agreement Number:
1028483
Agreement Value:
$75,000.00
Agreement Date:
Feb 15, 2025 - Dec 31, 2025
Description:
Develop an AI-powered Automatic Target Recognition (ATR) system for real-time fish detection and mapping using live CHIRP sonar data.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Victoria, British Columbia, CA V8R 4P1
Reference Number:
172-2024-2025-Q4-1028483
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
709161202
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 123 days.
Amendment Date
Jul 9, 2025
Recipient's Operating Name:
Ocean Aid
Recipient's Legal Name:
Cyphersoft Inc.
Federal Riding Name:
Victoria
Federal Riding Number:
59041
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.