From the Springboard Content Lab
Monitoring fish activity around industrial facilities to ensure their health and safety is a major challenge. Current practices consist of labour-intensive, time-consuming, and error-prone processes of manually counting and identifying fish onsite or in video footage.
A technology developed by Innovasea in partnership with DeepSense – Dalhousie’s marine industry-facing AI organization, uses data innovation to help hydro dam operators solve the problem by autonomously counting and identifying the fish with underwater cameras, sonar imaging and artificial intelligence.
DeepSense works with Innovasea to develop AI fish tracking
DeepSense data scientists worked with Innovasea, a world leader in acoustic telemetry for fish tracking research, to develop an AI-powered solution that captures data on fish moving around hydro dam facilities.
The solution, HydroAI, combines high-resolution video cameras with AI-powered, cloud-based software to automatically provide accurate real-time fish counts and species identification in and around hydro-power plants.
The data is delivered to the cloud in real-time to facilitate data sharing and transparency between hydro dam operations and regulatory authorities.
HydroAI Automated Fish Counting and Identification
Operating as a facilitator for AI and machine learning in the ocean economy, DeepSense connects academia, government and industry in new and exciting ways. Almost everyone now knows how important these technologies are for our future, but a lot of businesses have trouble accessing the right expertise. DeepSense’s unique model cracks the code and connects the dots with real results. - Iaian Archibald,Executive Director, DeepSense
HydroAI technology helps industry comply with regulations
This information allows companies to comply with federal fisheries regulations that protect marine species and the environment.
The HydroAI technology is one example of how DeepSense is collaborating with industry to solve real-world problems with big data analytics.
The organization has partnered with shipping companies, fisheries, offshore energy providers, and environmental monitoring agencies to develop technologies that guide decision making.
IBM Canada support for DeepSense
IBM Canada contributed high-performance computing infrastructure valued at $12.6 million to accelerate research and development at DeepSense.
The organization, launched in 2019, is part of the Dalhousie Faculty of Computer Science. Its mission is to grow expertise in the ocean sector by leveraging AI and machine learning. Thus far it has worked with 350 ocean sector companies and trained 125 students.
Deepsense was supported by Springboard and the Dalhousie Office of Commercialization and Springboard. The Atlantic Canada Opportunities Agency invested $6.9 million. Dalhousie, ACOA, COVE, the Province of Nova Scotia and the Ocean Frontier Institute (OFI) invested $2,133,151.
Read more on HydroAI fish tracking technology:
Springboard Atlantic is a network of 19 colleges and universities specializing in research commercialization and industry-led research in Atlantic Canada. It is supported by the Atlantic Canada Opportunities Agency , Innovation, Science and Economic Development Canada and member institutions.
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