FAO AI4DBP Electronic visual monitoring challenges and developments with AI скачать в хорошем качестве

FAO AI4DBP Electronic visual monitoring challenges and developments with AI

Dr. Jenq-Neng Hwang of the Information Processing Lab, the University of Washington presents an overview of electronic visual monitoring challenges and AI developments for fishery monitoring applications including fish species identification and length and insight into convolution neural network features. Dr. JenqNeng Hwang explores the Electronic Visual Monitoring Challenges for AI Ocean, describing AI developments for fishery monitoring applications from a collaboration with the Alaska Fisheries Science Center and their application to a project, led by the Environmental Defense Fund, to monitor dish discards from trawlers. The technology is called SmartPass, and consists of a digital camera paired with machine learning algorithms that are stationed at passes or other geographic pinch points to ocean access. We have a recreational fisheries application in the United States and a smallscale fisheries application in Indonesia. Subscribe! http://www.youtube.com/subscription_c... Follow FAO on social media! Facebook -   / unfao   Instagram -   / fao   LinkedIn -   / fao   TikTok -   / fao   Twitter -   / fao   Weibo - https://www.weibo.com/unfao © FAO: http://www.fao.org #SDGs #Agenda2030 #GlobalGoals