Category Archives: Applications & Testing & Experience

RFID-Reading Drone Tracks Structural Steel Products in Storage Yard

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Age Steel, a United Arab Emirates (UAE) company that operates multiple steel yards in Dubai, has taken radio frequency identification technology to new heights, through its use of an RFID reader mounted on a small unmanned aerial vehicle (UAV), commonly called a drone. The Steel Yard Autonomous Tracking solution, provided by UAE technology services startup Exponent Technology Services, enables Age Steel to quickly and accurately track the locations of pipes, plates and other metal products stored onsite. Continue reading

Ohio Prison to Test Surveillance Aerostat and UAS

Raven_Aerostar_TIF_40KThe Department of Rehabilitation and Corrections last week launched a $170,000 aerostat to monitor security at the Lebanon and Warren Correctional Institutions. The aerostat will have the capability to capture video of the prisons’ grounds during the day and night as well as use infrared sensors to detect unwelcome visitors staked near the facility’s fences.

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Snakebot and QuadCopter Combo for Search and Rescue

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Everyone has different ideas on what the perfect search-and-rescue robot is, and for a University of Pennsylvania Mod Lab team, it comes in the form of a snake drone-quadcopter chimera. The Hybrid Exploration Robot for Air and Land Deployment or H.E.R.A.L.D. is composed of two snake-like machines that attach via magnets to a UAV. Continue reading

Truck-Based QuadCopter Delivers the Last Leg


The battery-powered Horsefly can carry a 10-pound package 20 miles in almost any weather. It costs just two cents a mile to operate, compared to 50 cents for a typical diesel-powered step van. Most of its deliveries would be less than two miles because it flies from the roof of the company’s battery-powered delivery van, known as the Workhorse. Continue reading

Indian Students Develop QuadCopter with Facial Recognition

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A group of students at SRM University in Chennai, India, led by Sobin Santhosh, final year student in the Aerospace department have designed and implemented an autonomous copter equipped with an automatic face and person recognition system in a day. They have trained their intelligent software to detect a person irrespective of his/her attire, face orientation, posture and/or background. Continue reading