The strong motion detection aspect enabling quick reaction seems like an ideal model for every sort of vehicle, craft and robot from the smallest drone, on up through cars, trucks and busses as well as aircraft and vessels. Not necessarily to replace LiDAR but rather to augment it as a key component of the overall sensor array. Neuromorphic computing could provide a vital enhancement due to its remarkable ability to rapidly process just the right data at the edge, with elegant efficiency. Clearly, the dragon fly brain is relatively small and the energy required to propel the creatures with their wing structure and mechanics must be a massive load. Consequently, their brains must have to process data with incredible efficiency. So, while I am very interested in the vision of every living thing, I am keenly interested in the dragon fly brains. Or maybe, more precisely, how a neuromorphic system like BrainChip's Akida 2.0 could be trained to emulate their abilities while simultaneously integrating with, and managing the overall sensor suite as described above.
Really interesting information and their relationship with insects vission even better than Eagles , wow. I would like to know vission and flight of hummingbirds since I guess they're also excellent flyers.
As kids my younger brother and I found that if we stood still next to our mom's clothes line dragonflies would land on the line and if we moved very slowly we could successfully grab their outstretched wings and for a lark we would tie a bit of threat to them and fly them like kites. They were then, and remain today one of--if not--THE most favorite bug ever.
Great Video. What I find as fascinating as the physiology of the eye is how such detailed information on the vision of the dragonfly was determined in the first place. You cant give a dragon fly the standard vision tests applied to humans, sdo how is all this great information derived??
Thanks! And I agree, I might make a separate video about how scientists learn how different animals see the world. It's a combination of multiple things like behavioral experiments (watching the flies track visual stimuli as color, speed, and size are changed), electrophysiology (tiny electrodes track their neural responses to visual stimuli), disecting samples from dead flies and analyzing their photoreceptors to see what wavelengths they're sensitive to, and using electron microscopes to study other structures in their eyes and brains
Even though we don't consciously notice individual frames at 240Hz, the faster transitions between frames can reduce motion blur, especially in fast-moving content, making what you see feel more fluid It's just a little smoother (and also a bit of a marketing tactic 😀 )
What other animals should I cover in this series?
Chameleons
@lofioldman8362 I made a video about them 2 months ago!
Hirundo Rustica. Just to stay with nature's Top Guns.
Cool stuff. I've always like Dragonflies.
Thanks! Yeah I've always thought they were super cool too
Just got recommended your channel out of the blue. Great video. You’ve earned my sub
@KomradZX1989 I appreciate that 😁 thank you TH-cam algorithm!
Really good video, glad i got recommended your channel!
Thanks a lot! I appreciate that 😁
Hope this one blows up and gets a lot of views, it's really cool
Thank you! I hope so too 😁
The strong motion detection aspect enabling quick reaction seems like an ideal model for every sort of vehicle, craft and robot from the smallest drone, on up through cars, trucks and busses as well as aircraft and vessels. Not necessarily to replace LiDAR but rather to augment it as a key component of the overall sensor array. Neuromorphic computing could provide a vital enhancement due to its remarkable ability to rapidly process just the right data at the edge, with elegant efficiency. Clearly, the dragon fly brain is relatively small and the energy required to propel the creatures with their wing structure and mechanics must be a massive load. Consequently, their brains must have to process data with incredible efficiency. So, while I am very interested in the vision of every living thing, I am keenly interested in the dragon fly brains. Or maybe, more precisely, how a neuromorphic system like BrainChip's Akida 2.0 could be trained to emulate their abilities while simultaneously integrating with, and managing the overall sensor suite as described above.
Really interesting information and their relationship with insects vission even better than Eagles , wow. I would like to know vission and flight of hummingbirds since I guess they're also excellent flyers.
Good call, I'll add a video about hummingbirds to the to-do list!
As kids my younger brother and I found that if we stood still next to our mom's clothes line dragonflies would land on the line and if we moved very slowly we could successfully grab their outstretched wings and for a lark we would tie a bit of threat to them and fly them like kites. They were then, and remain today one of--if not--THE most favorite bug ever.
They're so cool! Doing the research for this video made them my favorite bug
Great Video. What I find as fascinating as the physiology of the eye is how such detailed information on the vision of the dragonfly was determined in the first place. You cant give a dragon fly the standard vision tests applied to humans, sdo how is all this great information derived??
Thanks! And I agree, I might make a separate video about how scientists learn how different animals see the world. It's a combination of multiple things like behavioral experiments (watching the flies track visual stimuli as color, speed, and size are changed), electrophysiology (tiny electrodes track their neural responses to visual stimuli), disecting samples from dead flies and analyzing their photoreceptors to see what wavelengths they're sensitive to, and using electron microscopes to study other structures in their eyes and brains
2:05 - If people can only see 60 fps then how are we able to differentiate 120Hz displays from 240Hz ones?
Even though we don't consciously notice individual frames at 240Hz, the faster transitions between frames can reduce motion blur, especially in fast-moving content, making what you see feel more fluid
It's just a little smoother (and also a bit of a marketing tactic 😀 )