Thanks for the video. I got one of these kits and it is amazing when running the provided sample codes/apps. Pity to program something leveraging on this kit you need c++, the installation of the Hailo SDK and then it becomes very complicated for 99% of the people using a Pi. I would not recommend the AI Hailo kit for everyone. It is for developers with good knowledge of AI and c++. There is not a single video explains that, all video on KZbin just try to market it, I have not found any tutorial explains how to modify or make a new app. At present, if you got one of these kits you will be on your own.
@mormatus5 ай бұрын
there is no other way around but learning before being capable of creating interesting stuff. There's a number of courses on C++ and ML on the internet
@seagsmtrashseagsmtrash19064 ай бұрын
If you want to get something new, do something new, then you need to learn something new. Otherwise, just keep posting cat pictures on Instagram.
@marsrocket4 ай бұрын
Google Coral has python support, which makes getting into using it considerably easier
@felicemassaro95644 ай бұрын
@@seagsmtrashseagsmtrash1906 Thank you for your message. I appreciate the sentiment behind "if you want to get something new, do something new, then you need to learn something new." While I personally have no issues with C++ and other programming languages, I have some concerns regarding the advertisement of the AI kit for the Raspberry Pi 5 in a way that looks like it is easy for everyone. All the videos I've checked on this AI kit don't mention the specific skills required to use it effectively. The Raspberry boards are predominantly used by hobbyists, and it's unreasonable to assume that all of them are proficient in C++. Therefore, it seems a bit too marketing-oriented to emphasize how easy it is to use the AI kit without clearly stating that a good understanding of C++ and the Hailo SDK is necessary. Additionally, there isn't a single video available today showing how to use the Hailo SDK or providing tutorials on writing code that leverages this AI kit on a Raspberry Pi 5. While some of the responses to my post seem to highlight "how good I am because I know C++," my intention was simply to direct potential buyers to investigate a bit further before purchasing this kit, which I consider amazing but.... again not for everyone.
@GreenCaulerpa4 ай бұрын
True, I came to realize that luckily before buying. Unfortunately hailo doesn’t release the dataflow compiler, so it’s basically useless when trying to infer any „small-LLM“ like tinyllama or such. Currently it seems that the cheapest and most energy efficient alternative for any practical assistant-like LLM is the mac-mini, but the price tag - oof. Perhaps the orangepi would be a bit more accessible, but I have yet to see any LLM on it
@cherrymountains725 ай бұрын
Bit of a misleading title as there was no real comparison between the Google Coral and Hailo 8L other than just a spec sheet side-to-side comparison. I guess it’s just a promo for the RPi AI Kit.
@Playfool5 ай бұрын
I'm quite interested in seeing its performance running LLMs via Ollama. With a RPi5 alone, it takes vision model LlaVa about 5 whole minutes to interpret an image. I'm hoping the AI kit can improve that vastly! Have you given it a go?
@MrC0MPUT3R3 ай бұрын
@@Playfool I haven't tried this, but I'm very skeptical. Since there's no onboard memory all the data needs to be transferred back and forth over the PCIe 3 connection which is going to be a huge bottleneck. That is, assuming it works at all.
@raspberrypi6 ай бұрын
Hiiii Kev! 👋you could make your fortune telling robot EXTRA spookily accurate with this kit.
@kevinmcaleer286 ай бұрын
Cool! Yes, if I added a camera and ollama back end it could detect a person and then say something spooky about what it sees!
@AerialWaviator6 ай бұрын
Very interesting. It would be nice to hear more about supported frameworks in future. Realize this a hardware unboxing and quick demo.
@kevinmcaleer286 ай бұрын
Yes I’ll be following up with more info on that now that the full software stack is released
@SeaJay_OceansАй бұрын
This is a new and interesting mounting solution for the toilet, however actual use of the toilet may be challenging ...
@eelcohoogendoorn80446 ай бұрын
It great to have such a chip design with tightly integrated memory which is obvious the way to go for any inference tasks. But ive found it interesting how hailo manages to keep any information about the amount of that super useful memory 100% secret; and this product launch is no exception. Like, dont we all want to know what models we can actually run on there? Arnt we going to find out eventually what the memory limits are after we spend our money? Or is that somehow the point?
@ahmedosama74635 ай бұрын
When tried , the hailo causes issues in identification , and aside from the fps , accuracy is very low , is that accuracy lost during conversion ?, i would still use the coral for now
@txga20054 ай бұрын
Extremely helpful video for beginners
@mrarfarf5 ай бұрын
Hey I got one of these but was disappointed you can't use it with PyTorch or llm models or other models without some weird recompiling but they don't provide the full sdk. So if you wanna train something to find a squirrel for example, I don't see any way. In the mean time it's just a simple toy to run some of their demos. Unimpressive imo. I think the coral is better since it's easier to get it to help with tasks..
@darkzero46082 ай бұрын
can we run linux or ubuntu on RPi boards? and how about Coral Boards?
@campandcook31187 күн бұрын
@@darkzero4608 armbian is based ob Debian, same as Ubuntu. You can also run the ARM version of Ubuntu on raspi, but f.e. Dietpi is using arm/deb repositories and is far more optimized for raspberry
@victorial51415 ай бұрын
I'm so glad I found your channel so awesome and informative videos! keep it up
@fruitcake49105 ай бұрын
That toilet detection was hilarious. You can see how it got matched: it looks oval and has a rim and that’s where the logic ends. No consideration of perspective or gravity. lol.
@mormatus5 ай бұрын
machine learning is not about any considerations, it's just a pre-trained model that understands nothing, but is trying to categorize objects based on the training it was given before.
@JeffGeerling6 ай бұрын
A great option for robot vision, IMO. I still wish there were at least a little NPU right on the Pi (like the RK3588)... but this is a worthy option in lieu of that. Also regarding the TOPS/W rating, I had 13 TOPS at 1.5W-according to their specs, but I was wondering if you are using the full Pi + Hailo-8L power consumption for your rating of 3 TOPS/W?
@kevinmcaleer286 ай бұрын
I’ll look into that shortly Jeff - what equipment do you use to test the power draw?
@JeffGeerling6 ай бұрын
Ah, I may have been reading the specs wrong-realized they are using "1.5W" on their site to indicate typical usage at 30-60 fps of a standard image processing model. It can use more than that when it goes all-out at 13 TOPS. Wish I could edit my video ha!
@JeffGeerling6 ай бұрын
@@kevinmcaleer28 I use a ThirdReality Smart Outlet for measurements over time, it's connected to my Home Assistant. I have also used a few other power measurement devices, but the ThirdReality one's been the most reliable and seems pretty accurate!
@TheArcanis875 ай бұрын
Agreed. I was waiting for a promising tensor accelerator for the pi for a while. I just bought this to try it. A possible advantage is that you can use the ram on the pi, and offload computation via the PCIe3.0 accelerator. This could allow to use larger models, a problem I have with e.g. the oak d lite is the 2GB ram limitation. Something I want to try is to run a local LLM on the pi using halio acceleration. This could give a low latency LLM for things like e.g. Speech to Text to Speech. it's something that works poorly on the cloud due to the latency involved.
@InsipidProgrammerАй бұрын
As a programmer, I'm gonna be testing the new Banana Pi M6 with an integrated NPU up to 6.75 TOPS as part of a ComputerVision programming video I'm making. Stay tuned, please.
@TheArcanis876 ай бұрын
Very informative, I was looking for an accelerator for mobile robotics and found nothing useful. The Orin is powerful but has nvidia blessed binary blobs and is really expensive. 13TOPS, PCIE1x3.0 3.0TOPS/W are promising specs. On an 8GB RPi it might be enough to run a llama3-8B-4QKM model.
@Cyberdyne_research4 ай бұрын
Do they cluster stack? Suppose I have an AI project that is 4 different models at once. Can I assign 1 model per pi and make a 4 cluster? I need a LLM that works at least as good as GPT-3, and I need both image(face) recognition, and image generation(from prompt and from fed images, like stable diffusion). Can I use one pi for both image processes, or will I need 5 pi total? I’ve got a cap of 150w because the thing needs to run off a single 200w solar panel(with battery array). Can I get lucky enough to do it all locally without the cloud?
@steaders825 ай бұрын
Can I use this chip in a standard tensorflow model? If so how? Or is it automatic?
@armisis6 ай бұрын
I got a coral and the coral hasn't helped at all. Looking forward to working it into my fabric project.
@AlasdairAllan5 ай бұрын
Nope it won't. If you're on a Pi 5 inferencing speed on the CPU is the same performance as the Coral TPU.
@duplicake40545 ай бұрын
How well does it perform with LLMs against the base Pi 5?
@OriNachum5 ай бұрын
This chip appears to be low on memory, and not fitting at all for LLMs. You want to look out for Hail-10H though (not released yet, no release date either)
@armisis6 ай бұрын
Got mine ordered.
@DarcilioKreitlow4 ай бұрын
É possivel utilizar essa IA junto com uma camera IP ligado a um NVR? Ou somente com essa mini camera?
@marcdurbach70365 ай бұрын
Hi Kevin. Maybe you know a solution for connecting both an Ai Kit hat as well as an ssd on m.2 hat at the same time to a pi 5?
@txga20054 ай бұрын
If you want to shrink this component, you can replace the RJ45 connector with a Mini I/O connector.
@nikobellic5706 ай бұрын
I can imagine nature watchers will want this to identify animals
@galdakaMusic5 ай бұрын
Is posible Rpi5 with SSD and Halo for run Asístant and Frigate? What are the correct hat configuration for this pourpose? Thanks
@realivanjx4 ай бұрын
@@galdakaMusic be careful running frigate on a pi as it does not have a compatible encoder and will eat your cpu too much
@galdakaMusic4 ай бұрын
@@realivanjxI have Home Assitant with Frigate Addon in a Rpi4 with Coral USB. With 4 cameras al 50 Zigbee2mqtt devices without any problem since 4 years. I ask if would be posible migrate to Rpi5, pimoroni nvme dual with SSD and Hailo 8L. Runs Hailo 8L with Frigate??
@meryplays89525 ай бұрын
Is it possible to install both the Acceleator and an SSD?
@kevinmcaleer285 ай бұрын
Yes - you'll need a Pimoroni NVMe Base Duo though
@meryplays89525 ай бұрын
@@kevinmcaleer28 Thank you.
@pointlesspos84402 ай бұрын
Is the pose animation used for anything like a mocap alternative?
@kevinmcaleer282 ай бұрын
Its probably not accurate enough for motion capture - in the special effects industry, they paint dots onto people and objects for motion capture because it provides very precise positioning - the Pi model is more of a rough estimate of the pose, but still useful
Looking forward to a tutorial, inferencing custom trained Yolov8 object detection models using this....
@armisis5 ай бұрын
I just got a milk-v meles and managed to get it to boot...(it won't power on using the raspberry pi 5 power but will from just a usb from my pc....) I think this RISC-V has potential but the OS support is lacking right now and RISC-V really needs some love from the open source community. I was hoping ubuntu had something already but they only have a broken version for Milk-V mars that the wifi won't even work... Yet... I think hobbiests are going to love this stuff!
@ScottFoust5 ай бұрын
I'm interested in detecting ArUco markers and getting their pose estimates. Is that something this AI chip can do well? Would you still need to run something like OpenCV on it? I've never used AI specific hardware so not sure how it works.
@tinkerman17905 ай бұрын
Thx for sharing! Apart from object recognition, any other use caes be benefit with edge compute power?
@erniea58434 ай бұрын
Seems like this proves to be more performant than my Jetson Nano…maybe it’s time to switch back to Pi
@poonnawat91784 ай бұрын
Q: Can I simply attach this module to my raspberry pi, run the same computer vision program I already have, and expect decent improvements? Thank you.
@kevinmcaleer284 ай бұрын
Great question - unfortunately it doesn’t work like that, that programs need to be specifically away of the accelerator and use it to run the ML models
@68HC0606 ай бұрын
Does openvino work with this ? (I'd like to use Audacity's openvino tools and Whisper for speech recognition).
@anthonyholmes13125 ай бұрын
I have struggled SO HARD with the Coral and Raspberry Pi 5. If you are telling me I don't have to create Dockers and virtual environments and whatnot to run older versions of Python I'm IN!!!
@SA-oj3bo5 ай бұрын
Hi, looks interesting, can this AI Kit also work with a stream from an IP-cam?
@fullstack_journey6 ай бұрын
now all that's remaining is: Frigate support!!
@upaiaq5 ай бұрын
Is it possible to use this technology to control a UAV so it can be autonomous without GPS? Maybe have it detect objects like buildings mountains lakes etc that it has seen a picture of prior? Where you can use identifiable objects as waypoints that you programmed in prior. I'm a total noob and wonder is there's a name for this idea so I can explore it further?
@asdfg099655 ай бұрын
its called DSLAM, using pictures to map the environment in real time while you navigate it.
@ArianeQube5 ай бұрын
Can I use this AI kit to speed up my LLMs on the Raspberry Pi 5 with Ollama ?
@oksowhat5 ай бұрын
how are you running llms on a rpi?
@CB-ht9ow4 ай бұрын
I wanna get into raspberry pi’s and local Ais . Is this called electrical engineering? Is this just a hobby or could I make a living doing this stuff. And without college
@kevinmcaleer284 ай бұрын
AI is part of the programming skillset. You would have to expand upon the hobby question. You can make a living from AI in many’s, but the programming side requires advanced skills and knowledge of algorithms to make a living from. I mean you can make a living in many ways from AI so you’d have to be more specific
@bokami34455 ай бұрын
+1 liked, for the late night dancing :-), seriously though, $70 for an entry point modest AI chip is pretty impressive. If you consider all the interesting things hobbits have done with PI's over the years, I'm looking forward to see what they come up with, when you add a NPU to the recipe
@cslivedk6 ай бұрын
Hi Kevin. Is it posible to make a very small pc not much larger than an Apple TV box. It should be running Linux, and possible to connect, keyboard using USB/Bluetooth with a couple of additional usb ports 😃
@kevinmcaleer286 ай бұрын
Yep - Raspberry Pi 5 plus a tower case (SunFounder have launched one recently)
@cslivedk6 ай бұрын
Thank You Kevin😀
@martyn3346 ай бұрын
got a few pi's, but just wondering what uses would this have? o.0
@cassielakin6 ай бұрын
That's awesome can you still have an nvme drive
@kevinmcaleer286 ай бұрын
You'll need a Hat that can take 2 NVMe - such as the Pimoroni NVCe Duo
@bern0476 ай бұрын
@@kevinmcaleer28 isn't the Raspberry Pi NVME hat stackable? so why cant we have two?
@kevinmcaleer286 ай бұрын
@@bern047 The Raspberry Pi M.2 Hat has one PCIe connector and one M.2 port. The GPIO pins are stackable, but you only get one PCIe connector. Pimoroni Duo has two M.2 ports. There are other Hats available that have multiple PCIe connectors so you can daisy chain them - check out PineBoards website for more info on those.
@bern0476 ай бұрын
@@kevinmcaleer28 Thanks, Pimoroni have done it again for me, will order one thanks
@ochanabondhu5 ай бұрын
Q:Hello..This is cool!... I was wondering if this is enough computer power to work with depth cameras with 3D object detection like the Realsesnse series?...
@janikabalin5 ай бұрын
Same question… not sure if I should go for a Jetson Nano, Orin Nano or a PI5 + AI Kit. I want to run a RealSense + RPLIDAR for object tracking and SLAM.
@nemesis851_2 ай бұрын
Q : Do you think the kit/AI chip will be able to be updated by monthly? So eventually it is more accurate in it detection of objects?
@Jerseylance16 ай бұрын
Can it run on a pi4?
@AerialWaviator6 ай бұрын
Not without mods. It uses "PCIe Gen 3" connection on Pi5.
@JeffGeerling6 ай бұрын
@@AerialWaviator Technically it could be made to run on a Compute Module 4-though I haven't tried yet.
@AerialWaviator6 ай бұрын
@@JeffGeerling Was wondering. Perhaps a custom PCB where both plug-in. ;)
@TheArcanis876 ай бұрын
The RPI4 has a PCIe 1x2.0 connected to a USB3 host controller The CM4 has the PCIe 1x2.0 lane free for the designer to use Hardware wise, it should work, a compliant pcie 3.0 peripheral should communicate with a 2.0 pcie host at reduced speed. One has to see if the halio pcie silicon interface supports that. The RPI4 has the BCM2711 SoC, the RPI5 has the BCM2712 SoC. One has to see if the provided Halio driver works on both SoC, or if it is specific for the RPI5 SoC. I'd really like for the Halio M.2 accelerator to be compatible with CM4, there are lots of CM4 boards out there with a M.2 expansion slot already exposed. e.g. "EdgeBox-RPI-200 equipped a M.2 socket of M KEY type. ONLY 2242 size NVME SSD card is support, NOT mSATA."
@eastindiaV10 күн бұрын
Eventually, instead of using codes like C++, they'll just have a specific AI chip, which translates basic language, into different computer codes. So you shouldn't even need to learn computer code, but rather, logic, in general, which will integrate into the computers, mechanically. Obviously, forcing it in C++ is a limitation
@agustinbmed4 ай бұрын
man getting one of these is so hard... but it also means that we loose the PCI port to add NVMe / M.2 SSD. Which... why would you run AI without SSD? We'll see when I get one :P
@Lp-ze1tg5 ай бұрын
Is the 4gb ram raspberry pi 5 good enough for the A.I kit?
@kevinmcaleer285 ай бұрын
Sure is - in fact that’s the one I demoed it on
@aaronalquiza9680Ай бұрын
3x more powerful! meanwhile: 2:37 mouse
@StefanSteinbauer4 ай бұрын
Q which case would you put the pi with the hat in? How would you describe the necessity to cool hat or pi?
@daveedwards16636 ай бұрын
Does not work with tflite?
@kevinmcaleer286 ай бұрын
According to the specs, yes!
@daveedwards16635 ай бұрын
@@kevinmcaleer28 Hi Kevin, Do you know of any good getting started guides for it? The demos are fine and the hailo site offers very little. I am interested in a guide to loading models and running inference in python so that I can make some particle use of it.
@ayusharora81415 ай бұрын
very cool !!
@RobinTheHoodedMan3 ай бұрын
The coral was noticeable by its absence....?
@DavyAmy-o7sАй бұрын
Precious Estate
@conorstewart22146 ай бұрын
Unfortunately a lot of AI products look good just looking at the top level specs but then once you have a deeper look they are difficult to use and not all that useful. It will be interesting to see how this ends up working. I have just bought a cheap jetson orin nano for a project of mine so I won't be buying this anytime soon but it will be interesting to see what people manage to use it for.
@kevinmcaleer286 ай бұрын
This is not like Rabbit or Humane, it actually does the work locally. I’ve made a lot of content about using object detection previously for various projects so this will take that workload off the main CPU freeing it to do other tasks.
@JustinEmlayАй бұрын
It thought the mouse was a remote and the light on the ceiling was a mouse then later a toilet. That's a pretty big fail. This is a toy at best.
@FernandoDCDuarte5 ай бұрын
But, any actual useful uses of this AI kit?
@kevinmcaleer285 ай бұрын
What actual uses would you find useful?
@LoneStarBassPursuit5 ай бұрын
@kevinmcaleer28 anything besides imagine detection or recognition.
@Yakito666Ай бұрын
You didn't actually compare these at all.
@SandipDhakal-hc9tk6 ай бұрын
I guess you have a shitty light there!
@kevinmcaleer286 ай бұрын
Haha
@thesimplicitylifestyle5 ай бұрын
😎🤖
@Yakroo1085 ай бұрын
👍👍👍
@salh26655 ай бұрын
❤❤❤❤❤🎉🎉
@Alice80003 ай бұрын
So inspiring to see a successful LGBTQ+ KZbinr 🏳🌈❤ Kevin!
@JJ.R-xs8rfАй бұрын
In other words... useless, like most home AI solutions.