{"id":18600,"date":"2026-04-09T07:07:43","date_gmt":"2026-04-09T10:07:43","guid":{"rendered":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=18600"},"modified":"2026-04-09T07:08:04","modified_gmt":"2026-04-09T10:08:04","slug":"como-la-combinacion-de-uas-e-ia-esta-transformando-las-tareas-de-busqueda-y-rescate","status":"publish","type":"post","link":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=18600","title":{"rendered":"C\u00f3mo la combinaci\u00f3n de UAS\u00a0e IA est\u00e1 transformando las tareas de b\u00fasqueda y rescate"},"content":{"rendered":"

El uso de drones a\u00e9reos (UAS) equipados con inteligencia artificial (IA) representa un avance revolucionario para los equipos de b\u00fasqueda y rescate (SAR), auxiliando en la localizaci\u00f3n de personas desaparecidas, con mayor rapidez que los m\u00e9todos tradicionales. Gracias a algoritmos de visi\u00f3n computarizados, estos dispositivos pueden analizar grandes superficies de terreno y entornos complejos, como zonas boscosas o acantilados, identificando figuras humanas donde el ojo humano podr\u00eda fallar. La IA permite que el dron procese im\u00e1genes en tiempo real, filtrando datos relevantes y reduciendo la carga de trabajo de los rescatistas. Adem\u00e1s, el despliegue de estas plataformas aut\u00f3nomas minimiza los riesgos para el personal en zonas de dif\u00edcil acceso o condiciones clim\u00e1ticas extremas. Aunque la tecnolog\u00eda a\u00fan requiere protocolos estandarizados para integrarse totalmente, las pruebas demuestran una reducci\u00f3n significativa en los tiempos de respuesta, lo que resulta vital para salvar vidas en situaciones de emergencia.<\/span><\/p>\n

\n

A combination of infrared imaging, thermal imaging and color cameras on an uncrewed drone, along with an AI system to interpret the data, can help emergency responders and search-and-rescue teams\u00a0locate, identify and track people<\/a>\u00a0who have gone missing in the wilderness. The experimental system helps responders pinpoint where a missing person is and determine whether they are hurt or even alive.<\/p>\n

People who get lost or hurt while exploring nature can become stranded for days. Rescue teams often use drones to look for the person or signs of their whereabouts. The small drone my colleagues\u00a0and I<\/a>\u00a0built at\u00a0my lab<\/a>\u00a0at Kennesaw State University flies autonomously using a grid search pattern. It sends live video and images to a ground station operated by the rescue team.<\/p>\n

When the AI system finds a person, it analyzes images to determine whether the individual is upright or lying on the ground. It segments parts of the person\u2019s body, identifying the person\u2019s head and the body\u2019s position. It then zeroes in on the forehead. It extracts forehead temperature readings, pixel by pixel, from the imaging data to estimate forehead temperature. We have two papers detailing these findings accepted for the American Institute of Aeronautics and Astronautics\u00a0Aviation Forum 2026<\/a>\u00a0conference.<\/p>\n

Our AI model then assesses whether the person is conscious or unconscious and identifies abnormal temperatures that could indicate heat stress, hypothermia or other physical complications, or death \u2013 all vital information for a search-and-rescue team.<\/p>\n

In field trials we have conducted, the system has provided consistent temperature readings of the heads of volunteers from our research team who have walked out into a variety of environments, under different conditions.\"\"<\/p>\n

Why it matters<\/strong><\/p>\n

It is critical to get accurate and timely information on the\u00a0whereabouts of a missing person<\/a>. The likelihood that the person will survive decreases steeply as time passes.<\/p>\n

An AI-enhanced drone can make search-and-rescue operations significantly more efficient than sending teams of people out into the environment to search on foot, especially in poor weather conditions or under thick foliage. Rescuers who know whether a person is conscious or unconscious can also better gear up for what they need to do to retrieve the person and administer aid. Our technology could save lives.<\/p>\n

What other research is being done<\/strong><\/p>\n

Search-and-rescue personnel use various kinds of drones, but the machines often lack the ability to positively identify humans, especially under thick foliage, in bad weather or when the person is lying down or unconscious. The AI-based technology we have developed overcomes those challenges.<\/p>\n

Better sensors that are very lightweight, that can\u00a0function at night<\/a>\u00a0or in rain, and can see more clearly through thick foliage could further improve our drone and drones used by others. Researchers are devising AI-powered sound recognition for detecting screams for help, advanced thermal imaging for better nighttime vision and\u00a0autonomous drones<\/a>\u00a0that could act as first responders.<\/p>\n

Also under development are drones that can carry heavy payloads, such as flotation devices, fly for up to 14 hours or perform real-time mapping of the ground below.<\/p>\n

What\u2019s next<\/strong><\/p>\n

One of our\u00a0next steps<\/a>\u00a0is to have multiple drones fly together and autonomously coordinate search-and-rescue operations among themselves. This will allow the technology to cover a much larger area, perhaps hundreds of square miles.<\/p>\n

We are also designing a large drone that can carry up to 110 pounds (50 kilograms) of payload and stay aloft for an hour.<\/p>\n

Fuente:<\/strong> https:\/\/theconversation.com<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

El uso de drones a\u00e9reos (UAS) equipados con inteligencia artificial (IA) representa un avance revolucionario para los equipos de b\u00fasqueda y rescate (SAR), auxiliando en… <\/p>\n","protected":false},"author":1,"featured_media":18603,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[2,36,28],"tags":[],"_links":{"self":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/18600"}],"collection":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18600"}],"version-history":[{"count":1,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/18600\/revisions"}],"predecessor-version":[{"id":18602,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/18600\/revisions\/18602"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/media\/18603"}],"wp:attachment":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18600"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18600"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}