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AI Technology Used to Differentiate Salmon Species in B.C. Waterways

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AI technology developed in partnership with conservation groups, Simon Fraser University, and First Nations on B.C.'s North and Central coast is being used to accurately count and differentiate species of salmon in B.C. waterways. The computer vision deep learning model, known as 'Salmon Vision', has shown about 90% accuracy in detecting coho and 80% accuracy for sockeye after reviewing over 500,000 video frames.

AI technology developed in partnership with conservation groups, Simon Fraser University and First Nations on B.C.'s North and Central coast is being used to sort through footage to differentiate between species.

"The AI comes in the form of tracking and identifying every fish that swims past our video camera," said Will Atlas, a scientist with the Wild Salmon Center and lead author of the report. Used traditionally for harvesting, they were employed for monitoring during the pilot project and provided the results for the report.Using AI to track salmon in B.C.The Heiltsuk First Nation and Wild Salmon Center have teamed up to pioneer new technology that uses artificial intelligence to count B.C. salmon returns in real-time.

He said AI increases the quality of data collected and can help the Heiltsuk Nation to make better decisions, and have stronger governance, when it comes to managing sockeye on their land.

 

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