Fleye, drone, Grace-Hollogne, Belgium

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youtube.com/gofleye

facebook.com/gofleye

twitter.com/gofleye

linkedin.com/company/fleye

"Fleye - Your Personal Flying Robot" on Kickstarter

Co-founder and ex-CEO - Laurent Eschenauer

Co-founder and ex-CTO - Dimitri Arendt

Ducted fan on Wikipedia

 

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Fleye - Your Personal Flying Robot

Published on Jun 10, 2015

Not happy with some of the safety and usability issues of today's quadcopters, we have gone back to the drawing board to imagine the future of autonomous flying robots.

 

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Outdoor flight and filming with Fleye

Published on Oct 14, 2015

 

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Fleye demo at Tesla World

Published on Nov 18, 2015

We have been invited to present Fleye at the first Tesla World event, held in Antwerp, Belgium, on September 25th.

 

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Fleye, personal flying robot

Published on Dec 5, 2015

 

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[video=vimeo;149424643]http://vimeo.com/149424643[/video]

Meet Fleye: An Autonomous Soccer Ball-Shaped Flying Robot
December 18, 2015

A company called Fleye has developed a small, soccer ball-shaped autonomous flying robot they hope to bring to market in fall 2016. Fleye has an HD camera that shoots 1080p video at 30fps, and can be programmed to autonomously capture panoramas and selfies. It's currently closing in on its fundraising goal on Kickstarter.

 

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Fleye - Push for selfie

Published on Dec 30, 2015

Experimenting with controlling Fleye by simply pushing it.

In this demo, Fleye detects the direction and the strength of the push, it staps back, turns around and look at the pusher before returning to its place.

 

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This soccer ball-shaped drone can’t chop your fingers off — CES 2016

Published on Jan 7, 2016

Fleye Drone that doesn't look like your typical drone.

 

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Most safe drone - Fleye at CES2016

Published on Jan 23, 2016

 

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Closeup auto-follow using computer vision

Published on Apr 24, 2016

Auto follow for drones is usually performed using GPS, which has the disadvantage of requiring proper GPS signal (and thus doesn't work indoor) and also usually requires to stay far away from the target due to lack of precision.

We've solved these challenges using computer vision, enabling detection, tracking and auto-follow of a target using the video feed from the front camera.