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  20 septembre 2018 | International, Naval

  Navy divers to have automated logging from worn dive computers

  By Bobby Cummings, Office of Naval Research, ARLINGTON, Virginia (NNS) -- For U.S. Navy deep-sea divers, time is of the essence. While operating 100 feet down, with little to no natural light—often in frigid temperatures and limited oxygen—time is everything. But for divers, time remains a precious commodity on the surface as well. For years, military divers have had to manually write and log information from dives while at sea into a system known as the Dive/Jump Reporting System (DJRS). Manual entries can be time-consuming and allow human error. Enter the Office of Naval Research (ONR) Global TechSolutions program, a rapid-response science and technology program focused on solutions to problems submitted by Sailors and Marines. ONR TechSolutions and industry partners have created a new tool called the Scuba Binary Dive Application (SBDA) 100 to digitally plan, record and report dive-profile information to DJRS. The application will accelerate the process of logging and uploading dive information, and will help eliminate potential data-entry mistakes. The idea originated from Force Master Diver Scott Brodeur, Naval Expeditionary Combat Command. “Scott has completed over a thousand dives during his career and he recognized the need to make the logging and reporting process more efficient for his peers,” said Jason Payne, TechSolutions acting program manager. The SBDA 100 is a software application on a ruggedized tablet used to log, compute and accurately compile dive-profile data. The data, collected from a wrist watch that divers wear during operations called a Navy Diver Computer, includes dive site conditions, equipment used by the divers, dive events, such as, when a diver left the surface or left the bottom of the ocean floor, and if the dive required decompression stops. SBDA 100 syncs this information and automatically uploads it to DJRS. “For years, I witnessed how many hours it takes to manually log dives—watching the young guys that have to—at the end of a long 12 to 14-hour-day—come back and manually go through the dive logs and write everything down, and double check it and triple check it,” said Brodeur. During a recent training exercise in the Gulf of Mexico, Brodeur, the Naval Experimental Dive Unit and other U.S. Navy divers stationed around the globe had the opportunity to test the technology for the first time. “The designers gave me a crash course on how to operate the technology,” said Chief Navy Diver Marshall Goble, ship repair facility, Yokosuka, Japan. “I used the device as a primary but still used the ‘old school' way and wrote down the information as well. Both calculations came out 100 percent accurate. I found the tablet easier to use, and I have no doubt it's going to streamline efficiency.” Throughout the process of the development of the SBDA 100, ONR TechSolutions has worked in conjunction with Space and Naval Warfare Systems Command (SPAWAR) Atlantic; industry partner Intelligent Automation Inc.; and Naval Surface Warfare Center (NSWC) Panama City, which is the home of the U.S. Naval Diving and Salvage Training Center. SPAWAR served as the principal investigator and NSWC Panama City provided technical support and hosted the training and demonstration of the SBDA 100 at sea. “The technology has tested very well,” Brodeur said. “It's a testament to the value of the ONR TechSolutions program and everyone who worked on this project. Witnessing this idea come to fruition and have it be built, demonstrated, designed and ready for use is pretty exciting.” Watch a video of the demonstration. Bobby Cummings is a contractor for ONR Corporate Strategic Communications. Get more information about the Navy from US Navy facebook or twitter. For more news from Office of Naval Research, visit www.navy.mil/local/onr/. https://www.navy.mil/submit/display.asp?story_id=107125

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  13 février 2024 | International, Aérospatial

  US Air Force readies to award collaborative combat aircraft deals

  This next round of collaborative combat aircraft development could involve the U.S.’s closest and “most strategic” international partners, Kendall said.

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  7 juin 2019 | International, Aérospatial, C4ISR

  Deep Learning Model Speeds Up, Automates Satellite Image Analysis

  Lockheed Martin (NYSE: LMT) develops satellite imagery recognition system using open-source deep learning libraries to quickly identify and classify objects or targets in large areas across the world, potentially saving image analysts countless hours manually categorizing and labeling items within an image. Global Automated Target Recognition runs in the cloud, using Maxar's Geospatial Big Data platform (GBDX) to access Maxar's 100 petabyte satellite imagery library and millions of curated data labels across dozens of categories that expedite the training of deep learning algorithms. Fast GPU's let GATR scan a large area very quickly, while deep learning methods automate object recognition and reduce the need for extensive algorithm training. GATR teaches itself what the identifying characteristics of an object area or target, for example, learning how to distinguish between a cargo plane and a military transport jet. The system scales quickly to scan large areas, including entire countries. GATR uses deep learning techniques common in the commercial sector and can identify ships, airplanes, buildings, seaports, and many other categories. “There's more commercial satellite data than ever available today, and up until now, identifying objects has been a largely manual process,” said Maria Demaree, vice president and general manager of Lockheed Martin Space Mission Solutions. “Artificial Intelligence models like GATR keep analysts in control while letting them focus on higher-level tasks.” GATR has a high accuracy rate, well over 90% on the models we've tested so far. It only took two hours to search the entire state of Pennsylvania for fracking sites – that's 120,000 square kilometers “I'm not an expert on what oil production sites are, and I don't have to be,” said Mark Pritt, senior fellow at Lockheed Martin and principle investigator for GATR. “This system teaches itself the defining characteristics of an object, saving valuable time training an algorithm and ultimately letting an image analyst focus more on their mission.” GATR builds on research Pritt's team pioneered during a Intelligence Advanced Research Projects Activity (IARPA) challenge, called the “Functional Map of the World.” The Lockheed Martin team was the only team from a company who placed in the top five. https://news.lockheedmartin.com/news-releases?item=128745