My understanding of what they want is basically just LIDAR measurements WITHOUT a laser. Think of the ability to take a picture of some rocks and construct a height map based on limited information contained within or on a single image instead of needing to go through the effort of measuring everything with a laser.
Yes, but I don't think LiDAR is expensive and complicated enough for this to be worthy. IPhone has some sort of one. Some phones have this same technology. And we already have LiDAR and photo devices that already make a 3D map while taking pictures. The AI trend have gone on everyone's head and it is limiting people's creativity and they are completely unaware that if you can get a formula to solve the problem, AI model becomes obsolete.
Does not work because the lenses are oriantated in one straight line - so one block the others. Solution a) Rotating mirror reflection the light (spectrum) to different sensors or b) same btu other physical alinement: different sensors rotate very fast hitting the light coming through the lens group ...
Sounds like they want lytro tech+ai. Something to where a camera is also a radar system, which would be game changing, using photons instead of microwaves.
But illumination implies that the source of the illumination will be detectable, regardless of spectrum. Ideally, you get the ping-back of radar, but with ambient light, and the detector stays hidden.
So you just need a software bridge between lenses? An OpenMV Cam is a small, low-power microcontroller board with an integrated camera that allows users to implement machine vision applications in the real world, primarily programmed using Python scripts, making it accessible to hobbyists and makers by offering a user-friendly way to perform tasks like color tracking, face detection, and QR code reading with simple coding. Yes, there are 3D telephoto lenses. 3D telephoto lenses allow the OpenMV Cam to see longer distances.
Your 'tracking, face detection, and QR code reading' does not provide lateral, or topographical measurement. This is a filter on human interaction with, and intelligence of the population watching. You have not provided any imaging detection methods applicable to target acquisition. You have failed to understand the goal of the challenge. Re watch the video and think ordnance targeting.
If you all can't even talk about what it is that you actually want until somebody gives the wrong answer and you redirect them, you're going to have a bad time
Challenge accepted. I'm still disappointed that I couldn't enter the subterranean challenge. My solution was novel. Using bats with a neruolink to induce echo location and then use other bats as a mesh to pipe the data out.
Kirlian Photography could allow for Software to trace itself with units/cubits to meter the light feedback with basic geometry & physics encoded with Ruby or Python.
darpa has a yt channel? TIL
My understanding of what they want is basically just LIDAR measurements WITHOUT a laser. Think of the ability to take a picture of some rocks and construct a height map based on limited information contained within or on a single image instead of needing to go through the effort of measuring everything with a laser.
Yes, but I don't think LiDAR is expensive and complicated enough for this to be worthy.
IPhone has some sort of one. Some phones have this same technology.
And we already have LiDAR and photo devices that already make a 3D map while taking pictures.
The AI trend have gone on everyone's head and it is limiting people's creativity and they are completely unaware that if you can get a formula to solve the problem, AI model becomes obsolete.
DarpaTV has a new subscriber
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So... Depth AI? Or like a new type of Kinect camera?
Not AI, or not on conventional camera data anyway
Multi spectrum light fields camera and it’s multiple lens? Each lens responsible for a narrow range but unique frequency.
Does not work because the lenses are oriantated in one straight line - so one block the others.
Solution a) Rotating mirror reflection the light (spectrum) to different sensors or b) same btu other physical alinement: different sensors rotate very fast hitting the light coming through the lens group ...
See if you can judge the distance of the crowds at presidential rallies.
…and tracking down Replicants
> replicants
humans
Holyfk darpa has yt .😂.never knew in my life .🎉
Darpa has its own channel 😂. Where I was living
Most important application is creating recordings that are far easier to validate as real, but darpa focusses on battlespace awareness
In the grim darkness of the far future, there is only war.
People forget that the name stands for "DEFENSE Advanced Research Projects Agency". It hasn't been ARPA for decades.
@@alreaud since the 1970s and then briefly dropped the D in the 90's, then brought it back.
Say no more fam, I’m on it!
Challenges like this motivates me to want to learn new skills.
Would love to work for such an agency making crazy secret tech.
DARPA is unique
Sounds like they want lytro tech+ai. Something to where a camera is also a radar system, which would be game changing, using photons instead of microwaves.
But illumination implies that the source of the illumination will be detectable, regardless of spectrum. Ideally, you get the ping-back of radar, but with ambient light, and the detector stays hidden.
So you just need a software bridge between lenses? An OpenMV Cam is a small, low-power microcontroller board with an integrated camera that allows users to implement machine vision applications in the real world, primarily programmed using Python scripts, making it accessible to hobbyists and makers by offering a user-friendly way to perform tasks like color tracking, face detection, and QR code reading with simple coding. Yes, there are 3D telephoto lenses. 3D telephoto lenses allow the OpenMV Cam to see longer distances.
Your 'tracking, face detection, and QR code reading' does not provide lateral, or topographical measurement. This is a filter on human interaction with, and intelligence of the population watching. You have not provided any imaging detection methods applicable to target acquisition. You have failed to understand the goal of the challenge. Re watch the video and think ordnance targeting.
@raoultesla2292 I copied and pasted some AI generated search engine results to get you pointed in the right direction
If you all can't even talk about what it is that you actually want until somebody gives the wrong answer and you redirect them, you're going to have a bad time
hmm let me put my blue light glasses on for this one :/
The drones over NJ are probably using this “theoretical” technology right now.
Kudos for intending your puns, too many weak people out there only doing them by accident 😊
Challenge accepted. I'm still disappointed that I couldn't enter the subterranean challenge. My solution was novel. Using bats with a neruolink to induce echo location and then use other bats as a mesh to pipe the data out.
should've sent shaggy and scooby in there and told them there was a sandwich.
lmaoooooo
Yes, but it will it make my cat videos cuter?
20 year old technology
It’s pronounced TOE-POE-GRAPHICAL. Come on DARPA.
yeah for warfare... bing-bing...
its called camera/lens calibration and photogrammetry. nothing new. all in most image processing toolkits.
Kirlian Photography could allow for Software to trace itself with units/cubits to meter the light feedback with basic geometry & physics encoded with Ruby or Python.
Yes I think the Python script would almost be plug and play
Not possible
This is decade old tech. we have already implemented.
You are decades old tech
Además se sabe que la tecnología en el aspecto milita está años avanzada al ámbito comercial y público
Name one
No Tesla's or Da Vinci's in the bunch . Put away your " endless calculation " and become dreamer's. The great knowledge bank awaits you. 😊
Ask me to guess the distance to a background I can't see. I immediately detest you for your stupidity.
Good point.
I wonder if it's just me who has associations with the DHARMA Initiative