Drone News: Aloft Integrates RID, Phoenix Air Nationwide BVLOS, and an AI Faster at FPV Than Pilots

Drone News: Aloft Integrates RID, Phoenix Air Nationwide BVLOS, and an AI Faster at FPV Than Pilots

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Welcome to your weekly news update, we have 3 stories for you this week; Aloft integrates RID into fleet management, Phoenix Air gets nationwide BVLOS, and lastly an AI system that is faster at FPV racing than professional FPV pilots.

00:00 Introduction
00:19 Aloft Integrates RID
01:11 Phoenix Air Gets Nationwide BVLOS
02:23 AI Racing Faster Than FPV Pilots

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The first story this week is Aloft, who is updating their fleet management software to show remote ID compliance.
This integrates into your existing fleet to manage where you aircraft are and are not compliant.
Continuing forwards Aloft appears to be integrating RID detection into Air Control and potentially B4UFLY.
Aloft’s custom reports will then allow public safety agencies to see metrics and maps that are tailored to their need.
Pretty interesting update, but so far not much appears to have changes within aloft!
We’ll keep you updated when we see more!

Next up this week, Phoenix Air Unmanned has gotten a nationwide BVLOS for certain types of work.
Requirements for BVLOS include class G only, sparsely populated, pre-planned routes to avoid known obstacles, over linear infrastructure with right of way, and within 100’ above and 20 feet left or right of the center line of the infrastructure being inspected.
The waiver utilizes a SwissDrones SVO 50 V2, which is a 191lb helicopter style UAV.
The SVO 50 V2 has an endurance of 3 hours, 9 foot rotor blades, uses an 11kw Jet turbine and Jet A for power and data links include 4G LTE, UHF, and SatCom.
Interestingly, this drone uses two top-mounted rotors that spin without contacting one another.
Pretty cool for those utility companies out there!

Last up we have Swift.
Swift is an AI system that controls an FPV drone, and is faster than professional human pilots.
Swift uses entirely onboard sensors to determine where gates are, how the drone is oriented, and what it needs to do to get through the gate.
Sensors include an IMU, a camera, and a gate detector.
Information is then filtered and sent to the flight controller to make changes in the attitude and altitude of the racing drone.
Races consisted of 3 laps, with the winner completing these 3 laps in the fastest time.
Pretty interesting that AI and onboard systems are now as fast as professional FPV pilots!

Last thing, we’ll be at commercial UAV Expo next week! Stop by Booth 333 and say hello to the team! We hope to see you there!







By: Pilot Institute
Title: Drone News: Aloft Integrates RID, Phoenix Air Nationwide BVLOS, and an AI Faster at FPV Than Pilots
Sourced From: www.youtube.com/watch?v=BdrUToW21BQ


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