{"id":24319,"date":"2019-10-23T06:54:50","date_gmt":"2019-10-23T10:54:50","guid":{"rendered":"https:\/\/mdpair.com\/drones-to-check-for-signs-of-life-in-disaster-recovery\/"},"modified":"2019-10-23T06:54:50","modified_gmt":"2019-10-23T10:54:50","slug":"drones-to-check-for-signs-of-life-in-disaster-recovery","status":"publish","type":"post","link":"https:\/\/mdpair.com\/?p=24319","title":{"rendered":"Drones to check for signs of life in disaster recovery"},"content":{"rendered":"

Drones are a quick and cheap tool to check to survey the site of a disaster, but now researchers at the University of South Australia are hoping to get them to check for survivors autonomously.<\/p>\n

Engineers from the University of South Australia and Baghdad\u2019s Middle Technical University have developed a new technique to monitor vital signs remotely using computer vision capabilities.<\/p>\n

From up to eight metres away, the algorithms can identify human torsos detect small movements of the chest cavity from a person breathing and their heartbeat using only the factory-mounted colour camera on a GoPro Hero 4 drone.<\/p>\n

It can also tell if that cardiopulmonary movement is missing, indicating a deceased body.<\/p>\n

Professor of sensor systems at the University of Adelaide, Javaan Chahl, said in a statement that the algorithms were validated using eight people – four of each gender and of different ethnic backgrounds- and a mannequin all lying on the ground in different poses.<\/p>\n

\u201cVideos were taken of the subjects in daylight, up to eight metres away, and in relatively low wind conditions for one minute at a time, with the cameras successfully distinguishing between the live bodies and the mannequin.\u201d<\/p>\n

<\/a> <\/p>\n

In a paper<\/a> published today in the journal Remote Sensing<\/em>, researchers said their method is a more accurate means of detecting signs of life than other drone-based methods, which are typically based on changes to skin tone or thermal imagery.<\/p>\n

Other systems have several disadvantages include short-range detection, low resolution and the relatively higher cost of thermal imaging technology.<\/p>\n

Thermal imaging also relies on a contrast in temperature between a person\u2019s body and the environment, which can be hampered by insulated clothing or fail to show deceased bodies that have been exposed to the elements for some time – giving the movement-based system an advantage in a number of settings.<\/p>\n

\u201cThis system would be ideal for many situations, including earthquakes and floods, nuclear disasters such as Fukushima, chemical explosions, bio attacks, mass shootings, combat search and rescue or where a plane has crashed in a remote area,\u201d Chahl said.<\/p>\n

The researchers also said the same techniques could one day be used to spot camouflaged figures based on their cardiopulmonary movement.<\/p>\n","protected":false},"excerpt":{"rendered":"

Drones are a quick and cheap tool to check to survey the site of a disaster, but now researchers at the University of South Australia are hoping to get them to check for survivors autonomously.<\/p>\n

Engineers from the University of South Australia and Baghdad\u2019s Middle Technical University have developed a new technique to monitor vital signs remotely using computer vision capabilities.<\/p>\n

From up to eight metres away, the algorithms can identify human torsos detect small movements of the chest cavity from a person breathing and their heartbeat using only the factory-mounted colour camera on a GoPro Hero 4 drone.<\/p>\n

It can also tell if that cardiopulmonary movement is missing, indicating a deceased body.<\/p>\n

Professor of sensor systems at the University of Adelaide, Javaan Chahl, said in a statement that the algorithms were validated using eight people – four of each gender and of different ethnic backgrounds- and a mannequin all lying on the ground in different poses.<\/p>\n

\u201cVideos were taken of the s..<\/p>\n","protected":false},"author":1,"featured_media":24320,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-24319","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/mdpair.com\/index.php?rest_route=\/wp\/v2\/posts\/24319","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mdpair.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mdpair.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mdpair.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mdpair.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24319"}],"version-history":[{"count":0,"href":"https:\/\/mdpair.com\/index.php?rest_route=\/wp\/v2\/posts\/24319\/revisions"}],"wp:attachment":[{"href":"https:\/\/mdpair.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24319"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mdpair.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24319"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mdpair.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24319"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}