{"id":6795,"date":"2024-06-19T18:25:30","date_gmt":"2024-06-19T10:25:30","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/ubotica-achieves-milestone-in-live-earth-intelligence-with-cognisat-6\/"},"modified":"2024-06-19T18:25:30","modified_gmt":"2024-06-19T10:25:30","slug":"ubotica-achieves-milestone-in-live-earth-intelligence-with-cognisat-6","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/ubotica-achieves-milestone-in-live-earth-intelligence-with-cognisat-6\/","title":{"rendered":"Ubotica Achieves Milestone In Live Earth Intelligence with CogniSAT-6"},"content":{"rendered":"

\"Ubotica<\/p>\n

<\/strong>Ubotica<\/strong>, one of the leaders in SPACE:AI, and Open Cosmos, has announced a significant milestone in the CogniSAT-6 mission: the successful processing and instant AI-powered detection of the first raw image from the newly launched satellite.<\/p>\n

SPACE:AI: Ushering in Earth Observation 2.0<\/strong><\/p>\n

Today\u2019s Earth Observation satellites are fundamentally data collectors. They don\u2019t understand what they\u2019re observing; they simply gather data and downlink it all when passing over a ground station. But what if they could understand what they\u2019re seeing? With SPACE:AI, they can.  <\/p>\n

SPACE:AI unlocks the full potential of Earth Observation satellites by empowering them with real-time vision processing. Ubotica\u2019s flight-proven, end-to-end AI platform transforms these satellites into intelligent, efficient and always connected observers.<\/p>\n

SPACE:AI at Work: Ship Detection at Jeddah Port<\/strong><\/p>\n

Consider this first raw satellite image taken by CogniSAT-6 of the port and ocean near Jeddah, Saudi Arabia. The challenge: quickly identify all ships in the area. For the first time, an Earth Observation satellite, powered by SPACE:AI, understands what it sees. Within 90 seconds, SPACE:AI detected every vessel within a 20 x 40-kilometre zone. This achievement demonstrates the model\u2019s exceptional accuracy, even without prior training on CogniSAT-6 data.<\/p>\n

<\/p>\n

Live Earth Intelligence: Instant Insights, Global Impact<\/strong><\/p>\n

CogniSAT-6 is designed to share these insights instantly. Through persistent inter-satellite communication, ship detection data can be relayed to users on Earth in real-time. This enables users to interact directly with the satellite, requesting more information or adjusting its focus.<\/p>\n

SPACE:AI\u2019s ship detection capabilities represent a significant advancement in the field. Unlike traditional methods requiring extensive training on thousands of processed images, SPACE:AI can perform real-time, on-board identification of ships from a single, raw, unprocessed image without prior training specific to the imager or sensor. This breakthrough technology dramatically simplifies and accelerates the process of extracting valuable information from Earth Observation data.<\/p>\n

\u201cThis successful demonstration proves the advanced capabilities of CogniSAT-6 and our commitment to unlocking the true potential Earth Observation,\u201d said Fintan Buckley<\/strong>, CEO of Ubotica<\/strong>. \u201cNear real-time analysis of satellite data unlocks new possibilities for timely and effective decision-making across numerous sectors.\u201d<\/p>\n

Sean Mitchell<\/strong>, Chief Commercial Officer at Ubotica, added, \u201cThe performance of our ship detection model, combined with our rapid processing pipeline, showcases SPACE:AI\u2019s transformative potential. We\u2019re excited to see this technology in action and anticipate the significant impact CogniSAT-6 will have across industries.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

Ubotica, one of the leaders in SPACE:AI, and Open Cosmos, has announced a significant milestone in the CogniSAT-6 mission: the successful processing and instant AI-powered detection of the first raw image from the newly launched satellite. SPACE:AI: Ushering in Earth Observation 2.0 Today\u2019s Earth Observation satellites are fundamentally data collectors. They don\u2019t understand what they\u2019re […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[26,25,20],"class_list":["post-6795","post","type-post","status-publish","format-standard","hentry","category-news","tag-ground","tag-launch","tag-satellite"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/6795"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=6795"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/6795\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=6795"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=6795"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=6795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}