{"id":19270,"date":"2024-11-13T00:00:00","date_gmt":"2024-11-13T00:00:00","guid":{"rendered":"https:\/\/www.fm.gov.om\/19270\/"},"modified":"2025-12-31T11:59:14","modified_gmt":"2025-12-31T11:59:14","slug":"remote-controlled-drones-to-monitor-sea-pollution","status":"publish","type":"post","link":"https:\/\/www.fm.gov.om\/en\/19270\/","title":{"rendered":"Remote-controlled drones to monitor sea pollution"},"content":{"rendered":"

Oman has launched a pioneering project to use a fleet of remote controlled drones to monitor oil leaks and other chemical pollution along the Sultanate’s coasts.<\/p>\n

The research is led by Dr Ahmed bin Saeed Al Maashari, Head of the Electrical and Computer Engineering Department at Sultan Qaboos University<\/a>, and is funded through the Ministry of Higher Education, Research, and Innovation’<\/a>s crowdfunding programme.<\/p>\n

The goal is to provide effective solutions for monitoring marine pollution given the heavy shipping traffic along Oman\u2019s shores and the Strait of Hormuz.<\/p>\n

\"Remote-controlled<\/p>\n

Oman’s unique and highly significant geography, with constantly busy coastlines, faces frequent leakages from ship engines threatening its marine environment.<\/p>\n

The Omani team has been exploring automated systems to replace current methods for detecting pollution, which are slow and costly.<\/p>\n

The new project relies on an advanced system of remote sensing and artificial intelligence to detect oil leaks as they occur.<\/p>\n

This system enables the drones to coordinate their movement and position \u00a0to ensure comprehensive coverage of targeted areas.<\/p>\n

Each drone is equipped with thermal cameras supported by AI algorithms to detect temperature variations, making it easier to identify oil pollutants in hot climates, even with as little as a two-degree difference in temperature.<\/p>\n

Field trials along Oman\u2019s coasts have demonstrated the system\u2019s effectiveness, showing it can pinpoint leaks and assess their size immediately.<\/p>\n

It also generates maps that provide authorities with a faster and more cost effective tool to respond to threats to Oman\u2019s marine environment.<\/p>\n","protected":false},"excerpt":{"rendered":"

The project relies on artificial intelligence to detect oil leaks as they occur.<\/p>\n","protected":false},"author":1,"featured_media":18806,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[76,116],"tags":[303],"class_list":["post-19270","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-posts-and-videos","category-trade-news","tag-oman-2040-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/posts\/19270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/comments?post=19270"}],"version-history":[{"count":1,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/posts\/19270\/revisions"}],"predecessor-version":[{"id":19271,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/posts\/19270\/revisions\/19271"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/media\/18806"}],"wp:attachment":[{"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/media?parent=19270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/categories?post=19270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fm.gov.om\/en\/wp-json\/wp\/v2\/tags?post=19270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}