Simple A.I. Demo with Jetson Nano

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  • Опубліковано 14 лип 2024
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    I'm trying out training a really simple AI machine learning model using transfer learning on the NVIDIA Jetson Nano with Jetson Inference. I used a very minimal data set of images captured and trained using scripts provided by NVIDIA. I wrote a simple script to make the robot look for high contrast markers in turn.
    Check out more Jetson Projects: nvda.ws/3gAmKm9
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  • Наука та технологія

КОМЕНТАРІ • 121

  • @jamesbruton
    @jamesbruton  3 роки тому +3

    Patrons and UA-cam Channel Members can get access to all my projects up to a week early! www.patreon.com/XRobots

  • @noitibmar
    @noitibmar 3 роки тому +15

    OpenDog doing tricks in response to hand gestures would be amazing and adorable. I can't wait for that day to come xx

    • @jamesbruton
      @jamesbruton  3 роки тому +9

      That is already being planned

  • @grey1185
    @grey1185 3 роки тому +3

    I was hooked on machine learning but lately i never can find to many videos giving good use cases for it but now here is the perfect video explaining it so now i can have another project to do. Keep up the good videos James.

  • @TheArcanis87
    @TheArcanis87 2 роки тому +1

    Great introduction to the Jetson Nano! I got one and I'm going to try building the jetbot, thanks for the pointers you gave in this video :)

  • @Jonathan-vx7xi
    @Jonathan-vx7xi 3 роки тому

    You are a legend...so happy you're working with the jetson nano

  • @zaynetech6538
    @zaynetech6538 3 роки тому +1

    Nice video like usual James, keep the good work up!

  • @freedom3342
    @freedom3342 3 роки тому

    Again great job, congratulations James ...

  • @WistrelChianti
    @WistrelChianti 3 роки тому

    Thanks! Really interesting to see how this stuff goes.

  • @ashlash8242
    @ashlash8242 3 роки тому +2

    This guy and Alex lab are so inspiring

  • @bbogdanmircea
    @bbogdanmircea 3 роки тому +2

    This project looks deceptively simple for how actually complicated the software that does the Machine Learning actually is. gg to NVidia for making the technology so accessible! I am sure you will make actually something amazing! Seeing how difficult it is to recognize a simple square, imagine how difficult it must be for an autonomous auto.

    • @jamesbruton
      @jamesbruton  3 роки тому +1

      I have facial expression coming up in a couple of weeks - that was quite easy as well though

  • @engineer13yearsold29
    @engineer13yearsold29 3 роки тому +1

    как раз посмотрел прошлую часть и вот тебе на, новая часть, спасибо за видео 👍🏻 (а также я во время просмотра прошлого видео подумал что не мешало бы добавить в этот проект камеру и вот, так и произошло)

  • @krazykillar4794
    @krazykillar4794 3 роки тому

    Just what I needed thank you !

  • @theclueless11212
    @theclueless11212 3 роки тому

    Just learned about the jetson nano like a week ago, very timely

    • @HustlerEli
      @HustlerEli 3 роки тому

      raspberry pi is the mid price alternative, arduino the cheap alternative

  • @dgb5820
    @dgb5820 3 роки тому

    Great project

  • @fredimilsontorres
    @fredimilsontorres 3 роки тому

    Nice job👍🏽

  • @WistrelChianti
    @WistrelChianti 3 роки тому

    Very brave to try and recognise a triangle when the sofa is made of triangles :D

  • @colsoyeti1
    @colsoyeti1 3 роки тому +3

    Hi James, I really enjoyed this iteration of the build project. I am very impressed with the learning simplicity. Did you get any conflicts while roaming in the living room since your polka dot curtains contained the black circle patterns of similar size? Thanks again for this informative video.

    • @jamesbruton
      @jamesbruton  3 роки тому

      No, it needs to see the shape on a white background, so it's pretty reliable

  • @nicroxio681
    @nicroxio681 3 роки тому

    The music is a banger

  • @TradieTrev
    @TradieTrev 3 роки тому

    Products like the Jetson scream code me! There's something really special in training the computer's AI that I enjoy the most.

  • @RupertBruce
    @RupertBruce 3 роки тому

    It's funny that your room had decorations including circles squares and triangles but it only saw your markers.

  • @wilgarcia1
    @wilgarcia1 3 роки тому

    beautiful =)

  • @donaldburkhard7932
    @donaldburkhard7932 3 роки тому

    Printed side holes were great ! I think you have multiple printers, could you say which one you printed the parts?

  • @Dev255
    @Dev255 3 роки тому

    Could the circle turning into a triangle be the shake of the camera? As this wasn't happening with a steady camera. I guess the refresh of the camera could be playing a part too. Nic video explaining something so complex 👍 ⭐⭐⭐⭐⭐

  • @kultbotcustomshop3849
    @kultbotcustomshop3849 3 роки тому +1

    I want to build this! Is there STL available to print? This is so cool !

  • @whatthefunction9140
    @whatthefunction9140 3 роки тому +9

    "What is my purpose" oh my god...

  • @andresgutierrez4329
    @andresgutierrez4329 2 роки тому

    Great video! Are all the the electronics on the robot powered by the 24V battery? I'm working on a small project and currently using different power sources for the SBC and the motors, is it ok if i conect everything to the same power source using voltage regulators?

  • @sr.railn.m.667
    @sr.railn.m.667 3 роки тому

    gesture recognition would be sick. I want to do it as well, but first i have to figure out the camera setup without one of those nvidia kits. Can it be done using a raspberry pi?

  • @viniciusfriasaleite8016
    @viniciusfriasaleite8016 3 роки тому

    It would be cool to recognise gates positions, detecting the distance they are from the size they look on the camera, and detecting their orientation angle based on the shape that is appearing on the camera vs the original shape

    • @jamesbruton
      @jamesbruton  3 роки тому

      Yes probably, pretty much any marker/object would do.

    • @viniciusfriasaleite8016
      @viniciusfriasaleite8016 3 роки тому

      @@jamesbruton I thought of it like a race checkpoint and the tank could make its way through many gates
      Like in the DRL autonomous race

  • @NicksStuff
    @NicksStuff 3 роки тому

    Can you train a neural network with gestures? Like actual hand movements or just static hands?

  • @manhcuong5118
    @manhcuong5118 3 роки тому

    Thanks! Really interesting to see how this stuff goes. How to Run a Python Script Automatically on Bootup / Startup in Jetson nano ?

  • @varunkota1289
    @varunkota1289 3 роки тому

    What's the green graph kind of sheet on the desk called? Seen that in many videos

  • @GeorgiDimitrovX
    @GeorgiDimitrovX 3 роки тому

    Do you plan on navigating the car with a depth map?
    You will probably need stereo vision with two rpi cameras like the one you're using. There's a HAT by Arducam and Stereopi. An alternative is Intel Realsense or ZED 2.

  • @the_real_foamidable
    @the_real_foamidable 3 роки тому +7

    If your circle is turning into a triangle ... you gonna have a bad time.

  • @iobondrew8824
    @iobondrew8824 3 роки тому

    Hey there^^
    ive seen youve done a few videos on robots with inverse kinematics, tho you dont show how you do it?
    ive built myself a 18 dof hexapod with an arduino and a pololu servo controller, yet i have no idea on how to install an inverse kinematics code on there to control the servos(i dont want to use a frame by frame program tho)
    ive subbed so should you decide to do a video on it ill make sure to watch it^^
    nice work; keep it up :thumbsup:^^
    Edit; i wanna control the robot via a rc radio, but i think using a jetson could be interesting as wellXD

  • @NicksStuff
    @NicksStuff 3 роки тому

    The robot at 12:00: "What the fuck is that!?"

  • @kevintieman3616
    @kevintieman3616 3 роки тому

    So glad python is really a thing now in IOT :-D

  • @SmithyScotland
    @SmithyScotland 3 роки тому

    Please can you do a video on your workflow? How do you manage to design and print so many objects a week? Then you add in vast amounts of programming. Do you have a large team behind the camera?

    • @robotisim
      @robotisim 3 роки тому

      when you can answer your questions start acting on them :)

    • @jamesbruton
      @jamesbruton  3 роки тому +1

      No, it's just me and a Trello board

  • @Meleeman011
    @Meleeman011 3 роки тому

    I've always wanted my own securitrons lol

  • @alerey4363
    @alerey4363 3 роки тому

    interesting @ 11:40 I thought the robot is gonna take the circles in the curtain as indicators, maybe they are too small compared to your print?

  • @Limey8108
    @Limey8108 3 роки тому

    The mad lad made a robotic puppy

  • @chairpara
    @chairpara 3 роки тому +8

    You, the Hacksmith and Mark Rober are the smartest men on UA-cam! Keep up to good work!! Everybody that reads this: stay positive and have a great day!!!

  • @Greguk444
    @Greguk444 2 роки тому

    I want to create a trash collecting robot with my nephew. Could this be the base starting kit? I know how to use object detection for seeing bottles, plastic, paper etc. Any thoughts? I appreciate your advice. Great video.

  • @TheRainHarvester
    @TheRainHarvester 3 роки тому

    I'm going to use this to vision system to put away the dishes!

    • @TheRainHarvester
      @TheRainHarvester 3 роки тому +1

      Can it be trained to recognize features on an object? How does it do with partially covered objects?

    • @TheRainHarvester
      @TheRainHarvester 3 роки тому

      With the training you did, at what angle (off of the normal to the paper) will the ai not recognize the shape?

    • @ciarfah
      @ciarfah 3 роки тому +2

      @@TheRainHarvester in this case the training data was pretty sparse. If he trained with more angles it would work for more angles

  • @vipinpachouri4766
    @vipinpachouri4766 Рік тому

    I want the dc motor having encoders using Jatson not with Arduino boards, how can we do it?

  • @sahilpawaskar5512
    @sahilpawaskar5512 2 роки тому

    Is it possible some how that macbook Air M1 can be use an monitor for Jetson board ?
    Please reply I am new to this field

  • @OZtwo
    @OZtwo 3 роки тому

    Hello I just got myself a Jetson Nano and a Sparkfun Jetbot Kit. All is going great yet before I start up on programming I need to find a way to install a Wheel Encoder. I'm at a loss really since sparkfun does sale the wheel encoders yet do not say what is NEED to control them. I want to build a robot which will teach itself but for this I need a way for it to be able to sense when it is not moving so it can then work form there and teach itself not to it again.

  • @jinxlord6488
    @jinxlord6488 3 роки тому

    Which CAD software is used to design the 3D model ???

  • @VintageToyMarbles
    @VintageToyMarbles 3 роки тому

    I think you should isolate the camera on some of those little rubber ball that drone's use on there camera rigs. The vibration of those tracks and the frame rate might just meet at the wrong time and the computer can't tell what it is for split second..... easy to test that theory. ...while I got your attention. Put that on the 2 wheel Sonic and teach it the cones and turn it loose.....

  • @jesseshakarji9241
    @jesseshakarji9241 3 роки тому

    Have you thought about using TensorFlow? I've had pretty good experiences with it and allows you to use pre-trained models. I don't have a powerful PC, but training doesn't take more than an hour usually.

  • @VIAMKT
    @VIAMKT 3 роки тому

    Can we please send you a Pixetto to see what you can build?? We're so curious!

  • @justpaulo
    @justpaulo 3 роки тому

    (11:44) I am surprised the curtains did not mess up the AI.

    • @jamesbruton
      @jamesbruton  3 роки тому +1

      That's why I had white backgrounds - so it has to see the black shape on white.

  • @Peavey_
    @Peavey_ 3 роки тому

    I cant get my raspi v2 camera to work on my nano. Anyone have any tips?

  • @1kuhny
    @1kuhny 3 роки тому

    It usually doesn't have to take 100s of hours. Can it take 100s of hours? Maybe. But you have to be dealing with a ridiculously large dataset and model. The biggest I've trained took about 2 days. Though the most I've trained took about 2-3 hours.
    I've trained models that have well over 5000 32x32 rgb images and it took that 2 days.

  • @nickbaddorf2673
    @nickbaddorf2673 3 роки тому +1

    can you make a video about how to do ros navigation with a webcam? so no lidar, or maybe how to do navigation with an Xbox Kinect? When are you going to integrate navigation into your sonic hedgehog self balancing robot? I am excited to see that run. I am making a self balancing robot and trying to add SLAM.

    • @jamesbruton
      @jamesbruton  3 роки тому +1

      Maybe one day but I don't know how to do that myself just yet

  • @Lp-ze1tg
    @Lp-ze1tg 3 роки тому

    Hello: I am a newbie to learning A.I and would like to know what single board computer that I should purchase.
    I would like to purchase the Jetson nano 2 gb but it looks like it won;t be available in Canada until next year.
    Should I purchase the Jetson Nano development kit with 4gb ram or Raspberry pi 4 with 8gb ram?

    • @jamesbruton
      @jamesbruton  3 роки тому

      Jetson anything is quicker as Neural Nets / Deep Learning

  • @Gaming-Archives
    @Gaming-Archives 3 роки тому +1

    You should make a gen 2 synth robot from fallout 4

  • @Antiork
    @Antiork 3 роки тому

    i wonder if 3rd printing will drastically increase our produced plastic waste when it becomes more available for everybody

  • @dgb5820
    @dgb5820 3 роки тому

    Great project I want to make contact to discuss another project please

  • @doctoribanez
    @doctoribanez 3 роки тому

    I always think of military applications and adding guns.

  • @LelanVance
    @LelanVance 3 роки тому +1

    Today's me birthday :)

  • @chriswesley594
    @chriswesley594 3 роки тому

    Another cracking video thanks. I have the pedant gene, so sorry about this but ... SIMPLISTIC is not just a fancier version of SIMPLE. It means "over-simplified in a way which loses the original meaning". I took the first few with a fixed grimace, but ... you're a Brit! And I can't fight genetics.

  • @Lp-ze1tg
    @Lp-ze1tg 3 роки тому

    Will a Nano 2gb model accomplished this?

  • @babylonfive
    @babylonfive 3 роки тому +1

    You completely missed the differences in approach angles, and in perspective. The initial approach of a square or circle at 45 degrees would see rectangles and ovals, and miss the target.
    THEY DON'T ALWAYS LOOK THE SAME -- you keep saying that.

  • @babylonfive
    @babylonfive 3 роки тому

    Also, why didn't the shower curtain with the circles get detected at all?

  • @tjdqls2
    @tjdqls2 3 роки тому

    Could you have done the same thing using raspberry pi? (Genuine technical curiosity)

  • @sriramsrinivas7404
    @sriramsrinivas7404 3 роки тому +1

    I am a 14 year old boy.
    Can u please tell which software you used to make that 3D view of project at 0:47

    • @jamesbruton
      @jamesbruton  3 роки тому +1

      Fusion 360

    • @sriramsrinivas7404
      @sriramsrinivas7404 3 роки тому +1

      @@jamesbruton Thank you for replying genuinely!

    • @sriramsrinivas7404
      @sriramsrinivas7404 3 роки тому +1

      @@jamesbruton And sorry for disturbing u again.
      I cannot sign up for fusion 360 ,SO can u pls tell any other app for this.
      Please reply!

  • @SM3Dcreations
    @SM3Dcreations 3 роки тому +1

    😁

  • @nibblesd.biscuits4270
    @nibblesd.biscuits4270 3 роки тому +17

    This is a long way off from a virtual girlfriend. But it's a start.. it's a start.

    • @Raziel236
      @Raziel236 3 роки тому +2

      It's probably already more sympathetic, understandable and affectionate than a girlfriend.

    • @alerey4363
      @alerey4363 3 роки тому

      with the prices of the realistic robo girls nowadays...pfff.. a robogirl-diy-kit would get a lot of backers!

    • @Mippi12
      @Mippi12 3 роки тому

      This comment is trash

  • @suitichoserdomaier4675
    @suitichoserdomaier4675 2 роки тому +1

    Tradução para o Brasil

  • @femmyvr3290
    @femmyvr3290 2 роки тому

    Did he just predict squid games? XD

  • @haidarsyriaismyheart5945
    @haidarsyriaismyheart5945 3 роки тому +1

    👍❤️🌹

  • @mogoart8575
    @mogoart8575 3 роки тому

    No entendi nada pero nice un carro :)

  • @potatotech7378
    @potatotech7378 3 роки тому

    I thought AI was always learning. Or is that a different type of AI? This AI is train then go. That robot should learn while going so it can have the mind of its own 😂

    • @jesseshakarji9241
      @jesseshakarji9241 3 роки тому +1

      AI - is any program that appears to have intelligence while machine learning actually learns how to get the desired output when provided with an input. In other words machine learning is AI, but AI isn't always machine learning.

    • @potatotech7378
      @potatotech7378 3 роки тому

      @@jesseshakarji9241 ohhh thank you for this!

    • @Paul-rs4gd
      @Paul-rs4gd 3 роки тому

      Actually pretty much all Deep Learning systems train just once. It is a real problem. If you want to add a new object to a trained system then you have to retrain on the complete set of objects again. Systems which can learn on the fly are called 'continual learning systems' and they are still a research area.

    • @potatotech7378
      @potatotech7378 3 роки тому

      @@Paul-rs4gd That's really interesting. This changes my views on AI now! Not in a bad way.

  • @Diggnuts
    @Diggnuts 3 роки тому

    That is NOT a tracked vehicle.... It's a four wheeled thing with a belt.

    • @ChrisD__
      @ChrisD__ 3 роки тому

      What's the difference?

    • @Diggnuts
      @Diggnuts 3 роки тому +1

      @@ChrisD__ How it works mostly.

  • @michaeld954
    @michaeld954 3 роки тому +1

    Can you help i am very disorganized i want to make a robot where it sorts out my tools and puts them back in the tool box but it has to be smart

    • @potatotech7378
      @potatotech7378 3 роки тому +1

      Messy people always have the better imagination

    • @michaeld954
      @michaeld954 3 роки тому +2

      @@potatotech7378 lmao I have amazing imagination so you can guess how messy i am

  • @ThatGuy-fi9bm
    @ThatGuy-fi9bm 2 роки тому

    The overpowered motors were more fun

  • @researchandbuild1751
    @researchandbuild1751 3 роки тому

    Still pretty sad it takes all this to have even less functionality than a small insect

  • @reggiep75
    @reggiep75 3 роки тому

    Hmmmm.. this could be trained to 'play' with a cat aka torment it.... nice.

  • @_HowHardCanItBe_
    @_HowHardCanItBe_ 3 роки тому

    Please remove the task bar (you can press windows key to bring it back), remove libreOffice and download a proper terminal like Terminator.

  • @Bracony69
    @Bracony69 3 роки тому

    We all know how coding goes Control c now ur code is copied

  • @lukemurphy7917
    @lukemurphy7917 3 роки тому

    I thought you tubers have to disclose when it’s a paid endorsement or at least disclose when they are given things for free by big companies because this is the third you tuber that have praised the jetson nano even tho it’s no more powerful then a pi and is basically a raspberry pi compute board with a normal interface

    • @jamesbruton
      @jamesbruton  3 роки тому

      I bought this one, the Xavier NX is coming up in the next video with disclosure. Jetson runs GPU based stuff quicker than Rasp Pi

    • @lukemurphy7917
      @lukemurphy7917 3 роки тому

      James Bruton oh that was a fast reply, I didn’t mean to sound like I was calling you out or anything I just found it weird, James from the hack smith said the same (a bit more defensive but still) but my stance was that you can over clock the pi really easily and with all the heatsinks and hats that you can get for a pi I would argue if you were starting into ai/computer learning development you probably already have a raspberry pi (maybe not a 4 with max ram but still) and with the pi4 having more ram then the nano, they’re about as powerful as one another
      And if you were just getting into it but then decided you wanted it in a different project a pi would probably be the better way to go, in my opinion
      Thanks for replying tho a lot of people would just ignore comments and answer questions on Instagram or Twitter

  • @GTsportscar
    @GTsportscar 3 роки тому

    Everything is sponsored in this video... It makes me feel gross watching it. The filament is sponsored. Nvidia gave the processing power and there is a general sponser. I think the thing I have a problem with the most, is that you are not making these videos because of your passion anymore. Your only making them for money. Blegh. Have to unsub I am afraid. I really liked your content