{"id":816,"date":"2026-02-16T20:00:25","date_gmt":"2026-02-16T20:00:25","guid":{"rendered":"https:\/\/wails.it\/artificial-intelligence\/"},"modified":"2026-10-26T10:37:00","modified_gmt":"2026-10-26T10:37:00","slug":"underwater-artificial-intelligence","status":"publish","type":"page","link":"https:\/\/wails.it\/en\/underwater-artificial-intelligence\/","title":{"rendered":"Artificial Intelligence"},"content":{"rendered":"<p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-wc58k-2621318a964094020a0d51ba0b1cf660\">\n.avia-section.av-wc58k-2621318a964094020a0d51ba0b1cf660{\nmargin-top:0px;\nmargin-bottom:30px;\n}\n.avia-section.av-wc58k-2621318a964094020a0d51ba0b1cf660 .av-parallax .av-parallax-inner{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/wails.it\/wp-content\/uploads\/2026\/03\/scuba-diver-surrounded-by-beautiful-underwater-nature-scaled-1.jpg);\nbackground-position:50% 50%;\nbackground-attachment:scroll;\n}\n<\/style>\n<div id='sign-up'  class='avia-section av-wc58k-2621318a964094020a0d51ba0b1cf660 main_color avia-section-default avia-no-shadow  avia-builder-el-0  el_before_av_textblock  avia-builder-el-first  avia-full-stretch av-parallax-section avia-bg-style-parallax av-minimum-height av-minimum-height-100 av-height-100  container_wrap fullsize'  data-section-bg-repeat='stretch' data-av_minimum_height_pc='100' data-av_min_height_opt='100'><div class='av-parallax' data-avia-parallax-ratio='0.3' ><div class='av-parallax-inner main_color avia-full-stretch'><\/div><\/div><div class=\"av-section-color-overlay-wrap\"><a href='#next-section' title='' class='scroll-down-link  avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='down-open-mini' data-av_iconset='svg_entypo-fontello'><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" aria-labelledby='av-svg-title-1' aria-describedby='av-svg-desc-1' role=\"graphics-symbol\" aria-hidden=\"true\">\n<title id='av-svg-title-1'>Scroll to next section<\/title>\n<desc id='av-svg-desc-1'>Scroll to next section<\/desc>\n<path d=\"M12.96 12.16q0.704-0.832 1.536 0 0.832 0.704 0 1.536l-6.272 6.144q-0.704 0.704-1.536 0l-6.272-6.144q-0.832-0.832 0-1.536 0.768-0.768 1.6 0l5.44 4.992z\"><\/path>\n<\/svg><\/a><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-816'><div class='entry-content-wrapper clearfix'> <div class='flex_column_table av-q59bg-047a99af20feac8fa80037522ef7347a sc-av_three_fifth av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-q59bg-047a99af20feac8fa80037522ef7347a\">\n.flex_column.av-q59bg-047a99af20feac8fa80037522ef7347a{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-q59bg-047a99af20feac8fa80037522ef7347a av_three_fifth  avia-builder-el-1  el_before_av_two_fifth  avia-builder-el-first  first no_margin flex_column_table_cell av-equal-height-column av-align-bottom av-animated-generic left-to-right av-zero-column-padding  '     ><section  class='av_textblock_section av-mm3tt2w8-3c2ceadabe54deff4eb53ca27547f0c1 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h1 style=\"font-size: 60px; font-weight: bold; color: white; text-align: left; margin-top: 0; margin-bottom: 20px; line-height: 1.1;\"><strong>OUR ARTIFICIAL INTELLIGENCE<\/strong><\/h1>\n<\/div><\/section><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-jbv7o-cf75f5547bf85a14bc18312353d13838\">\n.flex_column.av-jbv7o-cf75f5547bf85a14bc18312353d13838{\nborder-radius:3px 3px 3px 3px;\npadding:20px 20px 20px 20px;\nbackground-color:rgba(249,249,249,0.6);\n}\n<\/style>\n<div  class='flex_column av-jbv7o-cf75f5547bf85a14bc18312353d13838 av_two_fifth  avia-builder-el-3  el_after_av_three_fifth  avia-builder-el-last  no_margin flex_column_table_cell av-equal-height-column av-align-bottom av-animated-generic right-to-left  '     ><p> \n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-gz524-b9182a9ad31791d6bd47b7028a22ebb8\">\n.avia-image-container.av-gz524-b9182a9ad31791d6bd47b7028a22ebb8 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-gz524-b9182a9ad31791d6bd47b7028a22ebb8 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-gz524-b9182a9ad31791d6bd47b7028a22ebb8 av-styling-no-styling avia_animated_image av-animated-when-visible-95 top-to-bottom avia-align-center  avia-builder-el-4  el_before_av_textblock  avia-builder-el-first '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-1247 avia-img-lazy-loading-not-1247 avia_image ' src=\"https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26.png\" alt='wails-logo' title='Logo WAILS'  height=\"1024\" width=\"1536\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26.png 1536w, https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26-300x200.png 300w, https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26-1030x687.png 1030w, https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26-768x512.png 768w, https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26-1500x1000.png 1500w, https:\/\/wails.it\/wp-content\/uploads\/2026\/08\/ChatGPT-Image-4-ago-2026-11_19_26-705x470.png 705w\" sizes=\"(max-width: 1536px) 100vw, 1536px\" \/><\/div><\/div><\/div> <section  class='av_textblock_section av-b1bj0-5d84844fca76d2e3a57a2c21a71f4779 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 style=\"text-align: center;\">WATER<\/h2>\n<h2 style=\"text-align: center;\">ARTIFICIAL<\/h2>\n<h2 style=\"text-align: center;\">INTELLIGENCE<\/h2>\n<h2 style=\"text-align: center;\">LENS<\/h2>\n<\/div><\/section> <\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><\/div><\/div><\/main><!-- close content main element --><\/div><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-816'><div class='entry-content-wrapper clearfix'><section  class='av_textblock_section av-mm3ttn6g-bda659a47b79bd686c876968971ecf83 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 class=\"wp-block-heading\" style=\"text-align: center;\"><strong>Our Artificial Intelligence<\/strong> for Underwater Monitoring<\/h2>\n<p>Our proprietary Artificial Intelligence for underwater monitoring, <strong>Wails<\/strong>, represents the technological heart of our solutions. It was developed entirely by our in-house team with the goal of ensuring high performance, operational reliability, and maximum precision in complex and often critical marine environments.<\/p>\n<p>Our AI is designed to work in real-world conditions: variable turbidity, low light, currents, reflections, and the presence of suspended particles. Each algorithm is optimized to ensure continuity of analysis, reducing false positives and improving the quality of the data collected.<\/p>\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" width=\"1030\" height=\"687\" class=\"wp-image-516 aligncenter\" style=\"aspect-ratio: 1.3015404951954852; object-fit: cover; width: 450px;\" src=\"https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento-1030x687.jpeg\" alt=\"artificial intelligence for underwater monitoring\" srcset=\"https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento-1030x687.jpeg 1030w, https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento-300x200.jpeg 300w, https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento-768x512.jpeg 768w, https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento-1500x1000.jpeg 1500w, https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento-705x470.jpeg 705w, https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilveamento.jpeg 1536w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/figure>\n<h2 class=\"wp-block-heading\" style=\"text-align: center;\">Internally developed <strong>Artificial Intelligence<\/strong> algorithms for Underwater Monitoring<\/h2>\n<p>The platform is developed and optimized on-premise, with deep learning models trained on real datasets collected in Italian and European underwater scenarios. This approach allows us to maintain full technological control and quickly adapt models to new operational, regulatory, or environmental requirements without depending on external providers.<\/p>\n<p>Continuous training allows for the improvement of recognition and classification capabilities over time, ensuring an evolving and always up-to-date system.<\/p>\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" class=\"wp-image-490 aligncenter\" style=\"width: 450px;\" src=\"https:\/\/wails.it\/wp-content\/uploads\/2026\/02\/rilevamento1-1030x749.jpeg\" alt=\"underwater detection with artificial intelligence\" \/><\/figure>\n<h2 class=\"wp-block-heading\" style=\"text-align: center;\">Intelligent detection in photos<\/h2>\n<p>Our algorithms detect and classify various categories of objects, subjects, and anomalies in underwater environments within photos:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Divers<\/strong>: identification of unauthorized diving with automatic alert generation for protected areas, ports, construction sites, or sensitive infrastructure, specifically designed for intrusions in marine protected areas<\/li>\n<li><strong>Surface vessels<\/strong>: recognition of dinghies, tenders, fishing boats, and recreational craft, even in low visibility conditions.<\/li>\n<li><strong>Marine assets<\/strong>: monitoring of aquaculture cages, moorings, ROVs, AUVs, and underwater infrastructure for safety and preventive maintenance.<\/li>\n<li><strong>Environmental anomalies<\/strong>: detection of sediment accumulation, abnormal biofouling, flow variations, or structural changes over time.<\/li>\n<li><strong>Cetaceans and marine fauna<\/strong>: identification of cetaceans and other marine species through video integration and acoustic data, supporting scientific research and environmental protection activities.<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\" style=\"text-align: center;\">Data analysis and automated reports<\/h2>\n<p>In addition to photo recognition, the AI platform enables advanced processing of collected data to generate <strong>customized PDF reports<\/strong>.<\/p>\n<p>Reports include:<\/p>\n<ul class=\"wp-block-list\">\n<li>Detected events with timestamps<\/li>\n<li>Statistical analysis over time<\/li>\n<li>Historical image comparison<\/li>\n<li>Environmental indicators<\/li>\n<li>Photographic and video evidence<\/li>\n<\/ul>\n<p>This feature is particularly useful for management bodies of marine protected areas, companies operating in underwater construction sites, and scientific institutions requiring certified and easily shareable documentation.<\/p>\n<p class=\"has-black-color has-text-color has-link-color\">Our AI, together with <a id=\"https:\/\/wails.it\/piattaforma-monitoraggio-subacqueo\/\" href=\"https:\/\/wails.it\/en\/underwater-monitoring-platform\/\" type=\"link\">our platform<\/a>, allows for clear and in-depth data analysis.<\/p>\n<\/div><\/section> 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