{"id":45236,"date":"2025-02-27T20:05:48","date_gmt":"2025-02-28T03:05:48","guid":{"rendered":"https:\/\/www.realsenseai.com\/uncategorized-cn\/enhancing-medical-support-on-the-battlefield\/"},"modified":"2025-02-28T03:05:48","modified_gmt":"2025-02-28T10:05:48","slug":"enhancing-medical-support-on-the-battlefield","status":"publish","type":"post","link":"https:\/\/www.realsenseai.com\/cn\/news-insights-cn\/enhancing-medical-support-on-the-battlefield\/","title":{"rendered":"Enhancing Medical Support on the Battlefield"},"content":{"rendered":"\n<h3 style=\"text-align: left;\">Soaring to New Heights with RealSense<\/h3>\nBlood loss through hemorrhage is the leading cause of battlefield deaths, and 80 percent of these deaths occur within the first hour after injury. AeroMed Lab is extending this critical \u201cgolden hour\u201d with an autonomous, drone-based delivery system that offers new hope to people who have been injured in combat. Each drone carries life-saving blood, maintained in optimal conditions during transport.\n\u201cWhile our mission is primarily focused on whole blood delivery, the drones can carry anything from bandages and medicine to food and spare parts,\u201d explains Stephanie Lenow, CEO at AeroMed Lab. \u201cOur mission is to save lives on the battlefield by ensuring that essential medical supplies reach wounded soldiers quickly.\u201d\n<h3><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25473\" src=\"https:\/\/realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_dark_env.jpg\" alt=\"Aeromed Drone in the low light environment\" width=\"750\" height=\"750\" srcset=\"https:\/\/www.realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_dark_env.jpg 750w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_dark_env-300x300.jpg 300w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_dark_env-150x150.jpg 150w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/h3>\n<h3>Extending the Golden Hour with Precision Kinetic Delivery<\/h3>\nAeroMed\u2019s drones are designed to drop packages on designated targets without the need to hover or land. Visual data from RealSense powers advanced algorithms for obstacle avoidance, precision delivery, and route optimization.\n\u201cOur primary product is our AI software,\u201d says Cody Hatfield, Founder and Lead AI Scientist at AeroMed lab. \u201cWe are developing AI algorithms that can autonomously navigate a drone across long distances at very low altitudes of two to eight meters.\u201d\nThanks to these AI algorithms, the drones can drop packages on designated targets or even throw them over walls, into trenches, or through open windows. This allows soldiers to stay in secure locations, minimizing their exposure to potential threats. Commercial and civilian drone-delivery platforms are not designed to operate in contested environments or deal with the hazards of combat zones, such as GPS jamming.\nKinetic delivery refers to the dynamic nature of these missions, which require computer vision technology to coordinate the drops and estimate optimal trajectories. <a href=\"https:\/\/realsenseai.com\/?page_id=11351\">RealSense Depth Camera D455<\/a> gathers data from two embedded depth-sensing cameras to carry out each mission.\n<h3>Selecting RealSense Depth Camera D455<\/h3>\n<p style=\"text-align: left;\">Hatfield is responsible for the development of AeroMed\u2019s AI software. He also takes the lead on strategic technology decisions. He selected RealSense due to its advanced capabilities for object detection, collision avoidance, distance estimation, and scanning. He appreciates that RealSense has a large developer community and a mature software development kit (SDK). These software assets enabled his team to quickly set up the camera and integrate it with an NVIDIA Jetson computing board.\n\u201cRealSense allows for fast prototyping and development,\u201d Hatfield says. \u201cIt also gives us a robust community to lean on for support while we push the cutting edge of 3D scanning technology.\u201d\nThe RealSense SDK contains many software wrappers, which will be critical as AeroMed adds or changes languages in the future. \u201cOur engineering team found RealSense to be quicker, easier, lighter, and cheaper than Lidar,\u201d Hatfield notes. \u201cIt only took two days and $500 to get it up and running. Using Lidar or a bespoke development kit would have taken several weeks and far more money.\u201d<\/p>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25471 aligncenter\" src=\"https:\/\/realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_field.jpg\" alt=\"Aeromed Drone powered by Depth Camera D455\" width=\"750\" height=\"685\" srcset=\"https:\/\/www.realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_field.jpg 750w, https:\/\/www.realsenseai.com\/wp-content\/uploads\/2025\/02\/aeromed_drone_field-300x274.jpg 300w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/>\n","protected":false},"excerpt":{"rendered":"<p>Soaring to New Heights with RealSense Blood loss t [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":42741,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"featured_image_focal_point":[],"inline_featured_image":false,"footnotes":""},"categories":[1195,1199,1200,1204,1198,1193,1206],"tags":[499,1245,541,535],"capability_application":[],"industry":[],"class_list":["post-45236","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-d400-cn","category-how-to-cn","category-insights-cn","category-vr-cn","category-facial-authentication-cn","category-news-insights-cn","category-whitepapers-cn","tag-d455-2","tag-d455-cn","tag-drone-2","tag-navigation-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.7 (Yoast SEO v27.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Enhancing Medical Support on the Battlefield - RealSense<\/title>\n<meta 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