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'Fishal recognition' for better fisheries management by Stephanie Kanowitz July 29,2017   |  Source: GCN

To monitor fish stocks in about 3 million square miles of ocean including the North Pacific Ocean and East Bering Sea, the Alaska Fisheries Science Center turned to facial recognition technology -- or more accurately, “fishal recognition.”

Part of the National Oceanic and Atmospheric Administration’s National Marine Fisheries Service, the center is working to get more accurate counts of marine life by applying the same facial recognition techniques that identify people to recognize fish according to their facial features underwater.

The agency began experimenting with this technology several years ago and is now on its second generation of camera-based trawl, or CAM-Trawl. It has worked with ADL Embedded Solutions on hardware improvements, such as small form factor embedded Vision Boxes -- the image acquisition computers -- a Quad-Core Intel Core i7 processor to enable real-time processing of image data and waterproof enclosures and connectors.

Before using CAM-Trawl, the traditional method of measuring fish stocks had been to use trawlers to scoop up all the fish in a particular region of the ocean, bring them on deck, count them and then multiply that number out, according to said JC Ramirez, director of engineering at ADL. “If you did 10 square miles,

 

© 2017 1105 Media, Inc.

Theme(s): Fisheries Development and Aquaculture.

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