Startup's Sorting Machines Use AI to Protect Healthy Fish Eggs


Fisheries collect millions upon millions of fish eggs, protecting them from predators to increase fish yield and support the propagation of endangered species -- but an issue with gathering so many eggs at once is that those infected with parasites can put healthy ones at risk. Jensorter, an Oregon-based startup, has created AI-powered fish egg sorters that can rapidly identify healthy versus unhealthy eggs. The machines, built on the NVIDIA Jetson Nano module, can also detect egg characteristics such as size and fertility status. The devices then automatically sort the eggs based on these characteristics, allowing Jensorter's customers in Alaska, the Pacific Northwest and Russia to quickly separate viable eggs from unhealthy ones -- and protect them accordingly. Jensorter is a member of NVIDIA Inception, a program that nurtures cutting-edge startups revolutionizing industries with advancements in AI, data science, high performance computing and more.

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