  {"id":187273,"date":"2023-11-17T14:06:30","date_gmt":"2023-11-18T00:06:30","guid":{"rendered":"https:\/\/www.hawaii.edu\/news\/?p=187273"},"modified":"2023-11-17T14:06:54","modified_gmt":"2023-11-18T00:06:54","slug":"ai-to-track-fish-earns-national-award","status":"publish","type":"post","link":"https:\/\/www.hawaii.edu\/news\/2023\/11\/17\/ai-to-track-fish-earns-national-award\/","title":{"rendered":"Using <abbr>AI<\/abbr> to track island fish earns national award"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading time: <\/span> <span class=\"rt-time\"> 2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span><figure id=\"attachment_187300\" aria-describedby=\"caption-attachment-187300\" style=\"width: 676px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker.jpg\" alt=\"underwater reef with five fish\" width=\"676\" height=\"381\" class=\"size-full wp-image-187300\" srcset=\"https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker.jpg 676w, https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker-300x169.jpg 300w, https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker-130x73.jpg 130w\" sizes=\"auto, (max-width: 676px) 100vw, 676px\" \/><figcaption id=\"caption-attachment-187300\" class=\"wp-caption-text\">Five fish are marked using FISHTRAC. Detecting them in underwater video can typically be relatively difficult due to the complex coral reef background.<\/figcaption><\/figure>\n<p>In groundbreaking research at the University of <span aria-label=\"Hawaii\">Âé¶¹´«Ã½<\/span> at Hilo, computer scientist Travis Mandel and his interdisciplinary team have garnered national acclaim for their innovative use of artificial intelligence in revolutionizing reef fish tracking. The team&#8217;s FISHTRAC software, a creation of collaboration among students, alumni and faculty, employs <abbr title=\"artificial intelligence\">AI<\/abbr> to meticulously follow individual fish through video footage and photographs, providing a transformative solution to the time-consuming task of image review in the realm of marine research.<\/p>\n<figure id=\"attachment_187298\" aria-describedby=\"caption-attachment-187298\" style=\"width: 214px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker-mandel-214x300.jpg\" alt=\"Mandel headshot\" width=\"214\" height=\"300\" class=\"size-medium wp-image-187298\" srcset=\"https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker-mandel-214x300.jpg 214w, https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker-mandel-93x130.jpg 93w, https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2023\/11\/hilo-ai-fish-tracker-mandel.jpg 250w\" sizes=\"auto, (max-width: 214px) 100vw, 214px\" \/><figcaption id=\"caption-attachment-187298\" class=\"wp-caption-text\">Travis Mandel<\/figcaption><\/figure>\n<p>Mandel and his team published their research paper in <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0031320322005878\"><em>Pattern Recognition<\/em><\/a> this past March and recently learned they won the editor\u2019s choice award.<\/p>\n<p>&ldquo;It certainly works better than all the other algorithms we compared it to in the paper, which was a very large number,&rdquo; said Mandel who is an associate professor of <a href=\"https:\/\/hilo.hawaii.edu\/catalog\/computer-science\">computer science<\/a> and director of <abbr title=\"University of Hawaii\">UH<\/abbr> Hilo\u2019s interdisciplinary <a href=\"https:\/\/datasci.uhh.hawaii.edu\/\">data science program<\/a>.<\/p>\n<p>It\u2019s still not perfect, he explained, but the reality is the <abbr>AI<\/abbr> allows for much less human effort and time in terms of someone sitting and watching a hundred videos and then drawing boxes around every frame, &ldquo;because that takes forever.&rdquo;<\/p>\n<h2>FISHTRAC software<\/h2>\n<p>The <abbr>AI<\/abbr>-based video identification would serve as an alternative to catch-and-release tagging research methods, a process that can be invasive to the fish. The central question the research team hoped to address: How can <abbr>AI<\/abbr> and machine learning systems work with humans to solve real problems?<\/p>\n<p>Initially, Mandel was called on by environmental scientists at <abbr>UH<\/abbr> Hilo to help with computer vision issues, or the ability of software to recognize objects consistently in photographs or videos. The process of teaching an <abbr>AI<\/abbr> engine to learn is complex, and projects such as these are on the cutting edge of computer science and environmental science today.<\/p>\n<p>Although Mandel\u2019s training was not in computer vision, the pressing need for research within this field quickly presented itself.<\/p>\n<p>&ldquo;A lot of people started reaching out to me, faculty members and grad students in different disciplines, saying, &lsquo;Hey, can you help us with our computer vision problems?&rsquo;&rdquo; said Mandel.<\/p>\n<p>Mandel co-authored the paper with <abbr>UH<\/abbr> Hilo alumni Mark Jimenez (computer science), Emily Risley (computer science), Taishi Nammoto (physics) and Rebekka Williams (mathematics). <abbr>UH<\/abbr> Hilo students Meynard Ballesteros (computer science) and Bobbie Suarez (tropical conservation biology and environmental science) also served as co-authors alongside Max Panoff, a doctoral student in electrical and computer engineering at the University of Florida.<\/p>\n<p><a href=\"https:\/\/hilo.hawaii.edu\/chancellor\/stories\/2023\/11\/15\/award-paper-fish-tracking-software\/\">For more go to <abbr>UH<\/abbr> Hilo Stories.<\/a><\/p>\n<p>&#8212;By Evangeline Lemieux, who is double majoring in English and medical anthropology at <abbr>UH<\/abbr> Hilo.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The software employs <abbr>AI<\/abbr> to meticulously follow individual fish through video footage and 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