Drone companies like DJI, Aerones, and Walkera are thinking about how drones can soon revolutionize the way we fight fires.
A drone has successfully inspected a 19.4 meter high oil tank onboard a Floating Production, Storage and Offloading vessel. The video shot by the drone was interpreted in real-time by an algorithm to detect cracks in the structure.
Scout Drone Inspection and class society DNV GL have been working together to develop an autonomous drone system to overcome the common challenges of tank inspections. For the customer, costs can run into hundreds of thousands of dollars as the tank is taken out of service for days to ventilate and construct scaffolding. The tanks are also tough work environments, with surveyors often having to climb or raft into hard to reach corners. Using a drone in combination with an algorithm to gather and analyse video footage can significantly reduce survey times and staging costs, while at the same time improving surveyor safety.
Continue reading “Artificial intelligence and algorithms bring drone inspection breakthrough” »
More durable prosthetics and medical devices for patients and stronger parts for airplanes and automobiles are just some of the products that could be created through a new 3D printing technology invented by a UMass Lowell researcher.
Substances such as plastics, metals and wax are used in 3D printers to make products and parts for larger items, as the practice has disrupted the prototyping and manufacturing fields. Products created through the 3D printing of plastics include everything from toys to drones. While the global market for 3D plastics printers is estimated at $4 billion and growing, challenges remain in ensuring the printers create objects that are produced quickly, retain their strength and accurately reflect the shape desired, according to UMass Lowell’s David Kazmer, a plastics engineering professor who led the research project.
Called injection printing, the technology Kazmer pioneered is featured in the academic journal Additive Manufacturing posted online last week.
Drones of all sizes are being used by environmental advocates to monitor deforestation, by conservationists to track poachers, and by journalists and activists to document large protests. As a political sociologist who studies social movements and drones, I document a wide range of nonviolent and pro-social drone uses in my new book, “The Good Drone.” I show that these efforts have the potential to democratize surveillance.
But when the Department of Homeland Security redirects large, fixed-wing drones from the U.S.-Mexico border to monitor protests, and when towns experiment with using drones to test people for fevers, it’s time to think about how many eyes are in the sky and how to avoid unwanted aerial surveillance. One way that’s within reach of nearly everyone is learning how to simply disappear from view.
Drone disruptions have become notorious at a number of European airports in the last few years, causing thousands of canceled flights. New technology, present at airports now, could help in detecting drones early and preventing disruptions. The anti-drone technology could be a gamechanger, allowing for seamless operations even with rogue drones around.
The first major case of a drone disruption came in 2018 at London’s Gatwick Airport. The airport had to shut down intermittently for three days after suspected drones were spotted near the runway. The shutdowns caused millions in losses for airlines and left thousands of flights affected.
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StartX startup Buzz Solutions out of Stanford, California just introduced its AI solution to help utilities quickly spot powerline and grid faults so repairs can be made before wildfires start.
Their unique platform uses AI and machine vision technology to analyze millions of images of powerlines and towers from drones, helicopters, and aircraft to find dangerous faults and flaws as well as overgrown vegetation, in and around the grid infrastructure to help utilities identify problem areas and repair them before a fire starts.
This system can do the analysis at half the cost and in a fraction of the time compared to humans, hours to days not months to years.
What if Amazon moved its shipping centers downtown? Where drones fly into the buildings to pick up deliveries.
This drone beehive is one of the ideas and patents that could be part of Amazon’s city of the future.
Researchers have developed AI that lets drone swarms navigate cluttered, unmapped spaces without collisions.
Innovation.
The U.S. Air Force plans to have an operational combat drone by 2023. The service plans to build out a family of unmanned aircraft, known as Skyborg, capable of carrying weapons and actively participating in combat. The Air Force’s goal is to build up a large fleet of armed, sort-of disposable jets that don’t need conventional runways to take off and land.
Continue reading “The F-16’s Replacement Won’t Have a Pilot at All” »
Researchers at Ben-Gurion University of the Negev (BGU) have determined how to pinpoint the location of a drone operator who may be operating maliciously or harmfully near airports or protected airspace by analyzing the flight path of the drone.
Drones (small commercial unmanned aerial systems) pose significant security risks due to their agility, accessibility and low cost. As a result, there is a growing need to develop methods for detection, localization and mitigation of malicious and other harmful aircraft operation.
The paper, which was led by senior lecturer and drone expert Dr. Gera Weiss from BGU’s Department of Computer Science, was presented at the Fourth International Symposium on Cyber Security, Cryptography and Machine Learning (CSCML 2020) on July 3rd.
