It blows my mind that you can buy a full computer, designed for machine learning, for $60. We live in the future
@Skyentific4 жыл бұрын
Completely agree!!! Now we also need to add affordable robotics to this.
@mampfi4 жыл бұрын
Awesome boards, however the soc of the jetson nano is from the past (based on the Tegra X1, whitch got released in 2015)
@jameshughes30144 жыл бұрын
@@mampfi isn't everything from the past? unless you have a time machine you're not sharing :/
@raguaviva4 жыл бұрын
You can do more with a raspberry pi, kzbin.info/www/bejne/l5rQhHqFdrp8brs (and this is a year old!)
@mampfi4 жыл бұрын
@@jameshughes3014 Damn you got me, in my previous comment about the "Jetson Nano Next" (released in 2021) and the "Jetson Orin" (released in 2022) the story of the application engineer is made up to hide my little secret maschine!
@grandecatastrophe4 жыл бұрын
Your robotic arm was my first electronics/robotics project as a someone new to the field and here I am completing my Masters in Robotics. Thanks!!
@dhruvjadvani4 жыл бұрын
Which university brother?
@varunmahajan87032 жыл бұрын
Is it available in India, how can i get harsh bro
@napiton4 жыл бұрын
*Runs to check oven* Nope, only bread :/
@d3vastat0r894 жыл бұрын
Lucky. Couldn't even find bread in mine. Just pans.
@alex0808814 жыл бұрын
Как приятно слушать Русскую речь)
@kenchan1234564 жыл бұрын
PLEASE show how to use this board with a ROS project, this would be AMAZING!
@evgeniimaksimychev34934 жыл бұрын
Like any other computer with Ubuntu :)
@__--JY-Moe--__3 жыл бұрын
love the scenic Sky! fingers crossed 4 a ''new'' nVidia product line!!👍🍌😁
@StalkedByLosers3 жыл бұрын
Love your videos man. I got a job as a Robotics Engineer and I'm following your content more now than ever.
@JiffiJiffJeff4 жыл бұрын
I frickin love your music choice at 4:10!
@misteragb75584 жыл бұрын
That mountain view is superb
@Yumy6074 жыл бұрын
When you say the model cannot be too complex for this device , can you give a few examples of what a complex vs simple model (roughly) would be like? Thank you all your videos are great!
@andresduque-sb3 жыл бұрын
Nice! I just bought one. P.S: I recognize that lake and mountains. Living around the Lac Leman too!
@Skyentific3 жыл бұрын
:) It is a nice place! I am in Lausanne.
@phmiii4 жыл бұрын
Thank you: I would like to see you build any type of Robotics project with the Nano 2GB.
@pamwalker78234 жыл бұрын
Thankyou for taking the time to do this video 🙏🏻 great presentation
@vandanaroy73523 жыл бұрын
Thanks...I really want to see your next project on nano 2GB nvindia kit
@semphony1003 жыл бұрын
Thanks a lot , we bought the nano 2 and we are definitely learning AI with it
@9jatechie4 жыл бұрын
I can't believe that I've been watching almost all of your videos and have never liked nor subscribed. Well, I just fixed that today. Thanks for your great videos.
@sahilpawaskar55123 жыл бұрын
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
@Skyentific3 жыл бұрын
As far as I know, you cannot use it as monitor, but you can connect to jetson, via special usb port, and you can run programs like this.
@sahilpawaskar55123 жыл бұрын
@@Skyentific Thank you so much for suggestions and for prompt reply.
@TradieTrev4 жыл бұрын
Got plans myself of sticking one in the work truck to be used as an ANPR, seems like a fun project.
@alexeykablukov94573 жыл бұрын
Many thanks for all you are doing 🙏
@lexastron3 жыл бұрын
I wondering if this board has enough power to create a quality motion capture system for animation purposes, I we hook up a few depth cameras to it? So at the output we have a stream of data which contains a set of yaw-pitch-roll angles for a set of bones.
@Lp-ze1tg4 жыл бұрын
Thank God I ordered one already but will need to wait for 4 weeks for delivery.
@MarvinBaral4 жыл бұрын
Yes, do some projects with machine learning on the jetson!
@limitlesschoices2 жыл бұрын
I want to build either jarvas or C-3P0
@zerosugarmatcha73483 жыл бұрын
I agree. You have to struggle with the limited memory and messy Python packages, you will learn a lot when make some basic things working.
@fmoreno24 жыл бұрын
You really enjoy what you do and share your enthusiasm, great informative and fun video
@mertcapkin72633 жыл бұрын
Do you already have a video or more information about the board for the Jetson Nano, Xavier and Raspberry Pi you talked about in the video?
@martinh90992 жыл бұрын
I've tried to install Tensorflow & Numpy on a Jetson Nano - should be a simple procedure, but ended up going down a rabbit hole. Many others have experienced the same issue
@sabtvg3 жыл бұрын
You have all the interesting toys!!! I want to play!!!
@nathantaisto47934 жыл бұрын
Yes please more videos on this with machine learning.
@albertkolosow4 жыл бұрын
Спасибо за видео! Отличная работа.
@markusmcgee4 жыл бұрын
pre-ordered from Amazon. Now I wait :)
@Will_Huff4 жыл бұрын
Another great video! Looking forward to hearing more about the board you are developing!
@Skyentific4 жыл бұрын
Thank you!
@davidmalawey4 жыл бұрын
So the board does not have built in wifi?
@Ellelawliet774 жыл бұрын
Amazing video! And amazing sunglasses!
@anonymous.youtuber4 жыл бұрын
I really love your style !
@HiLight77773 жыл бұрын
please make a video about integrating this board with robots, I need this for my project, tnQ in advance, stay safe and may the robot torque be with you :D
@typhoon99454 жыл бұрын
Please do a project with the Jetson Nano. I bought a Jetson and am looking for fun stuff to try out. Love your channel.
@Jerseylance13 жыл бұрын
Nice video, so can I use this in my bioloid premium robot?
@johnzawodniak85184 жыл бұрын
I would love to see a project which incorporated the object recognition / localization using the Jetson and your small robot arm. Idea would be to have the robot arm separate parts (bolts, screws...) based on size into containers.
@Mosfet5104 жыл бұрын
Looks like a lot of fun to experiment with.
@sethrd9994 жыл бұрын
As ive mentioned on other channels there are a number of solutions for ML/AI work out there, SiPeed M1 and Maixduino ( on the edge ) embedded systems work really well for camera recognition using TF / Keras and Yolo ( v1 and v2 ) also intel's Movidius accelerator for ML/AI is available. Fortunately NV are not the only game in town and most definitely not the most cost effective. AI/ML is better learned by understanding as in the Math behind it and the language you choose to write your models etc etc, obviously with Python knowing fundamentals like numpy and pandas is essential. Books I would recommend would be the AI/ML Books from O'Reilly there are two here which are very good for the beginner ( Hands On Machine Learning & Tiny ML ) also the 100 paged Machine Learning Book. Understanding the why will speed up the how thus improve your modelling skills as you go.
@TheRealFrankWizza4 жыл бұрын
Some of the nvidia courses are free. It actually only looks like one of them.
@billymoon78804 жыл бұрын
Yes please I vote more learning about NVIDIA Jetson Nano 2GB. Thank you
@ighor4 жыл бұрын
Most important to know that you will get a old linux kernel 4.9.140 with no way to upgrade. They not updating it for a few years already
@PhG19614 жыл бұрын
Your my hero ! Awesome video !
@serialdad333 жыл бұрын
what is the most complex thing this can do?? (autonomous driving for a remote car? obstacle avoiding?? or even a walking robot dog?)thx in other words: what can this be used for? sorry if my question sounds stupid. I am a total noob. just found this channel recently and started watching all the robotics stuff (without any knowledge. starting from scratch) thx
@ShenghongZhang4 жыл бұрын
Great video as always.
@pieak40664 жыл бұрын
You can use LINO robot in github.
@izzat26633 жыл бұрын
Very nice video right here. Done subscribe champion!
@TobiasKornmayer4 жыл бұрын
I think a traffic control program for street lights would be a pretty nice project :) but then you would need to evaluate four camera streams, maybe by ipcams?
@v4utech894 жыл бұрын
can I power jetson nano using 18w power bank? Spec: It supports 5.1V/2.4A, 9V/ 2A MAX and 12V/1.5A MAX
@Skyentific4 жыл бұрын
Normally it needs 5V 3A. But most probably 5.1V, 2.4A would work. In worst case, you can limit the power consumption in Ubuntu.
@v4utech894 жыл бұрын
@@Skyentific thank you so much sir
@mampfi4 жыл бұрын
The Datasheet says 5.25V Max. The Brown-Out Detection kicks in at 4.75V, so the voltage at the module must be whithin 4.75V - 5.25V.
@kevinyang88014 жыл бұрын
Awesome! Can you make more videos on controlling your robot arm using ROS or ROS2? Thanks and please keep up the great work!
@daithi0074 жыл бұрын
Looks like the Swiss Alps in the background. Are you in Italy or near Geneva?
@Skyentific4 жыл бұрын
Exactly. I am from Lausanne.
@antoineof744 жыл бұрын
@@Skyentific I had the same feeling of knowing the landscape and i was right. So hi from the other side of the lake
@minedustry3 жыл бұрын
I want to reject defective product off the line before it jams the next machine in the process. Is this thing powerful enough to analyze 75 widgets per minute?
@_lilkm4 жыл бұрын
Great tutorial, what's the type of screen you use ?
@fabianodosstos4 жыл бұрын
Hi @Skyentific, I have an off-topic question, could you give me a suggestion on how I can control up to 16 stepper motors simultaneously by arduino uno with TB6600 drivers, but at different speeds and directions? I thought about using the 74hc595 shift register but I'm not sure which is the better approach. Thanks for your time, my best regards
@mobeen3604 жыл бұрын
So this is Justin Nana. Interesting
@misteragb75583 жыл бұрын
Please use a black PCB
@dmitryfilatov70904 жыл бұрын
Спасибо за обзор, полезно. Подскажите, пожалуйста, какие подходящие к Jetson Nano 2GB проверенные варианты видеокамер можно купить, чтобы сделать хорошую систему по работе с видео и изображениями?
@Skyentific4 жыл бұрын
Вопрос хороший. Я знаю что камеры от распберри пи подходят (начиная от второй версиии) и последняя их версия вроде бы очень даже качественная, можно даже хорошие объективы ставить.
@ighor4 жыл бұрын
У WaveShare есть для него хорошие камеры.
@dmitryfilatov70904 жыл бұрын
@@ighor спасибо - решил попробовать waveshare IMX219-160IR
@kimsenmen75624 жыл бұрын
For ROS its easy you need Lidar and go to make mkdir CAtkinws catkinmake bash/devel and other codes
@marwanabbas11444 жыл бұрын
I’ve bought the original jetson nano developper kit. Is the new one way better and should i refund my purchase ?
@西田博-x4w4 жыл бұрын
安く容量などが改善されたのは嬉しいですね😊😎😎
@HitAndMissLab4 жыл бұрын
Excellent video!
@g.s.33894 жыл бұрын
you should also try google Coral, it seems as powerful as xavier and you can use rpi4 as host.
@ZodiusInfuser4 жыл бұрын
Super interested in the HAT you showed off! Any more details you can tease about what it's designed to do?
@PiyushYadav-pl9jm4 жыл бұрын
Can you suggest some books on electronics for robotics?
@davenarisotto36744 жыл бұрын
what about books that we can read to learn robotics/ai?
@YetiFell4 жыл бұрын
Craig, John J. "Introduction to robotics: mechanics and control", 3/E. Pearson Education India, 2009. Jazar, Reza N. "Theory of applied robotics: kinematics, dynamics, and control." Springer Science & Business Media, 2010.
@davenarisotto36744 жыл бұрын
@@YetiFell ty for the reply!
@iversonvarun4 жыл бұрын
Can you add a CAN bus shield to the Jetson Nano ?
@BeefIngot4 жыл бұрын
Seems like this is not possible to preorder in Canada, as usual for nVidia
@diggleboy4 жыл бұрын
You can by it now on Arrow electronics website. It’s in stock there.
@BeefIngot4 жыл бұрын
@@diggleboy I actually ended up doing exactly that. Though it will be annoying having to pay the brokerage fee.
@i.p.knightly1494 жыл бұрын
I'm trying to calculate a price ahead of time just in case. $59 US and about a 33% exchange rate... ya, shoud be about $200 CAD.
@01Ashish014 жыл бұрын
Sir i need your help I have no Idea of programming and I want to leran ai and this decision making field can u help me which degree or programming language to learn
@pieak40664 жыл бұрын
I am waiting you to build mobile robot based on ROS navigation and including COBOT for pick and place task.
@m7mds914 жыл бұрын
Good 👍 .. it comes with wifi built in ?
@AWildNoodle4 жыл бұрын
So I know you like the ODrive a lot, as do I, however I've been searching on the community section in the ODrive website and I'm not able to find anything regarding a G-Code Interpreter other than a post saying that they would like to implement that at some future point. Are you aware of any G-Code interpreters available for ODrive?
@Toha_4564 жыл бұрын
Жаль что nvidia Jetson nano нет в наличии на официальном сайте nvidia. Интересно, если заказать nvidia Jetson nano с aliexpress, то пришлют качественный товар?
@pranavsreedhar14024 жыл бұрын
Thank you!
@lorenzoleongutierrez79274 жыл бұрын
Great Video, thanks!!
@soowhanyi4 жыл бұрын
Hi, I have subscribed like long ago and appreciating your videos. I am wondering if this Jetson Nano can go wireless. Like can it be on separate robot and communicate to the computer wirelessly? Thank you!
@Skyentific4 жыл бұрын
Soowhan Yi yes, of course. You can communicate via ssh over WiFi. I tried. It works. :)
@Skyentific4 жыл бұрын
Thank you for subscribing, and for watching!
@soowhanyi4 жыл бұрын
@@Skyentific Thank you for the reply. Now I have follow up question. If I needed to use two real sense camera, does that mean that I have to use two Jetson Nanos? Is there a way to use those two cameras at the same time? Again Thank you so much for your reply!
@soowhanyi4 жыл бұрын
Nvm. I just need to get the upgraded version. lol
@abidmir35064 жыл бұрын
Learn Ros
@luiswhatshisname76674 жыл бұрын
The question is can you train AI using those boards or you have to pay a lot of money on the cloud to be able to use those boards
@JustifyTheseHeathens4 жыл бұрын
How is this different from a Raspberry Pi?
@Skyentific4 жыл бұрын
It has GPU, which helps with machine learning. For most AI projects it will outperform Raspberry pi.
@thunderinvader90314 жыл бұрын
Thank you for this video! Именно то, что мне было нужно
@qouomcompany9794 жыл бұрын
Your business is pioneering to wish to work with you
@donaldduck57314 жыл бұрын
The price is not the limiting factor, grey matter is the problem. It's all so so stupidly hard, the maths, inverse kinematics the Jacobian matrix, epipolar constraints, homogeneous cords, gaussian image smoothing, SURFS and so on. In the UK people who try to specialize in in fields like this and or astronautics engineering are called semiskilled or unskilled people, because engineering is an unskilled at best vocational career.
@GP-qb9hi4 жыл бұрын
I have a GTX 1070 card, do I still need this? Thanks.
@damedane9134 жыл бұрын
what do you do for work?
@angelleal30054 жыл бұрын
How good is this one compared to the 4 gb memory-size ? I mentioned this since most tutorials on this subject are carried out with the largest memory size Jetson nano. I will have to work on a collision avoidance project for school but haven't decided yet which one to acquire.
@mampfi4 жыл бұрын
Not easy to answer. The 4GB version uses about 1.6GB of 4GB during idling so I guess that the 2GB version uses 75% of the memory even if it's just idling, leaving 400Mb free, whitch might not be enougth for some applications. Maybe the nvidia guys implemented some tricks to reduce memory consumption, I don't know. If you plan to do any kind of neuronal network training on the jetson, choose the 4GB version. If you run into memory problems there are a few things you could do: - disable GUI (saves about 600MB) - increase the swap
@EngineeringSpareTime4 жыл бұрын
Couldn’t you just use an usb-hub? :)
@Skyentific4 жыл бұрын
Engineering Spare Time I am not sure, as RealSense camera sends a lot of data. I am not sure, they will fit in one usb, even with the hub.
@EngineeringSpareTime4 жыл бұрын
Skyentific It can handle 5 Gbit/s.. There is ‘just” one way to find out :)
@robertthomas88314 жыл бұрын
Machine learning video would be good.
@busingyejoseph45554 жыл бұрын
I love Robotics
@ighor4 жыл бұрын
Nvidia ARM software support is awful. All their devices running Linux kernel version 4.9.140, that is few years old one. There is no way to upgrade a kernel to a newer version. If you just agree with Ubuntu to do any upgrades, it is break all Nvidia drivers. And there is no way to install a Wi-Fi 6 drivers (which is builtin in the kernel v5) and not to break all other drivers. For all old devices they just stopping to release updates, so you will stuck on some kernel version forever.
@Daddelpalm4 жыл бұрын
pls make a deeplearning project video. I was thinking about a döner filling robot arm, maybe you could do that :P
@hardwareful Жыл бұрын
108€ Jetson Nano kit is now 189€. Screw this timeline.
@AndreasFaustML4 жыл бұрын
i am a developing machine learning algorithms to be used in embedded systems, and i have worked with the jetson nano before. if you want to get into deep learning, i'd rather recommend buying a gtx 1070 graphics card and work on a PC. You will not do training on the Jetson Nano. You don't want to, i promise you that. While the Jetson Nano is indeed powerful and can run ML algorithms, the fact that it's a arm64 processor means that you won't have an as broad compatibility spectrum with different versions of ML libraries, which you might need for interesting projects you found on github. It's an extra hassle going through the processes to be able to run them on an arm64 based machine. if you want to get into machine learning, you want to train your own neural networks, and a gtx 1070 equipped PC is far better suited for that than a system that puts certain restraints on what it can do just so it has a small form factor and is a single board computer.
@dominicseung4 жыл бұрын
One is $60 and one is $339, what did you expect?
@Yu-Fei-Hung4 жыл бұрын
Aint that Asus laptop with mx350?
@viswadeepkopalli61604 жыл бұрын
Great job as always!! You can check out robot ignite academy to learn ros its not free but they teach it pretttty good ive been learning it and they made it seem pretty easy for mee. Good content as always.
@harishhanchinal28384 жыл бұрын
Nice...
@МихаилТокарев-н8р4 жыл бұрын
Спасибо, за видео!!!
@Skyentific4 жыл бұрын
Спасибо за комент, и спасибо что смотрите!
@МихаилТокарев-н8р4 жыл бұрын
@@Skyentific Очень интересные Ваши видео, помог обзор NVIDIA теперь более ясно что умные устройства можно делать не только на Arduino and Raspberry, и наконец то !наглядный! пример как работает камера! понимается принцип ROS
@Andy-rq6rq4 жыл бұрын
please make some ML vids with the jetson!
@MystCrusader4 жыл бұрын
@Skyentific I realize that this is a very cheap board to work with and is great for entry level! But in the past when using the Nvidia Jetson v1, we had a lot of driver compatibility issues with various programs and hardware due to the ARM architecture. Is this no longer a problem? What about the UDOO x86 computers? (shop.udoo.org/products/x86.html) What are your thoughts on this computer as an entry level robotics computer?
@EliSpizzichino4 жыл бұрын
the main advantage of NV boards is GPU with a lot of PU. And now NVIDIA is introducing DPU just for data...
@Lp-ze1tg4 жыл бұрын
Is the 2gb Jetson good enough for learning AI? The reason that I am asking is because the price of the 2gb Jetson is the same as the Raspberry pi 4 with 4gb. Thank you.
@jascrandom98554 жыл бұрын
It should be. Otherwise, what would be the point of it?