Raspberry Pi AI Camera - Deep Dive

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  • Опубліковано 16 січ 2025

КОМЕНТАРІ • 30

  • @maxwellpatten9227
    @maxwellpatten9227 День тому

    thank you so much for this video. this will really help me with my project. THANK YOU!

  • @DougToppin
    @DougToppin 3 місяці тому +3

    Very good overview of the camera and of how image processing works. tks for posting it

  • @davidbayliss3789
    @davidbayliss3789 3 місяці тому

    I thought that was a really comprehensive video, ta. Even an AI novice, so long as they've already earned some tech familiarity and reasonably able relevant intelligence, ought to be able to gain sufficient insight from watching this in order to understand what the new device does, in context, and devise ways of utilising it. Being able to communicate complex topics that well in a single session is a talent I perceive few to possess. i.e. making it appear accessibly "simple". It requires a teacher who not only has a pragmatically deep grasp of the subject they're explaining, but also a good grasp of students' levels of understanding and empathy for their perception and learning needs.

  • @circuitfever
    @circuitfever 3 місяці тому

    Hi Kevin, this was a great presentation. Thank you for doing this!

  • @jasonpocaro2730
    @jasonpocaro2730 2 місяці тому +1

    Just got a pi 5 & m.2 AI top with 13 Tflop 😮 going to get a real good camera today and testing this weekend 😁🎉

  • @joacosolbes9283
    @joacosolbes9283 28 днів тому

    Hello Kevin, please consider doing one of this but with the new jetson nano, the possibilities are incredible
    Ip cameras + Jetson Nano for security just for starters, i will bought that course inmediatly

  • @bjy128
    @bjy128 3 місяці тому

    Great video as always. Can it run Haar cascade models?

  • @dermick
    @dermick 2 місяці тому

    Great video - really helped me a lot. My car's reverse camera does object movement detection - do you know if any models that do that with the RPi AI IMX500?

  • @Unknown-si7go
    @Unknown-si7go 2 місяці тому

    Hello Sir, great explaination🤩
    I have a question, does the quality of the camera still same(fps) if I run a custom dataset with transfer learning tenchnique model like ssd mobile net tflite / yolov8. Or the best quality only for the models that has been provided?

  • @robotboy3525
    @robotboy3525 2 місяці тому +1

    Hi McAleer, would it be possible
    to get this Camera and the Hailo-AI
    acceleration module working together for more processing power ??

    • @kevinmcaleer28
      @kevinmcaleer28  2 місяці тому

      Only one accelerator can process the model at a time, its either the camera's image signal process or the one on the Pi's AI Kit/HAT+ processing at a time.

    • @robotboy3525
      @robotboy3525 2 місяці тому +1

      @kevinmcaleer28
      I see.. in this case would it be recommended
      to use the Hailo which has more processing power and a Pi regular camera or the camera AI has its advantages?? 🤔

  • @TheOriginalLos
    @TheOriginalLos Місяць тому

    You know ... this could put game cams out of business. Being a hunter i KNOW there is a way to get my Pi 4 and AI cam to be used outdoors (via solar panel power) to ONLY record / alert when a certain animal walks by. That would be a great business idea for people. Also to ONLY record "people" or "vehicles" for surveillance recording. I'd like to buy newer game cams these days with cellular network connection which ill have to pay for. But imagine having a PI with cellular, and AI cam + lense that will NOT record just everything nonstop but specific targets.

  • @manfredbogner9799
    @manfredbogner9799 3 місяці тому

    Sehr gut

  • @lucasschneider9879
    @lucasschneider9879 2 місяці тому +1

    how to use YOLO model on this camera?

  • @martinnash007
    @martinnash007 2 місяці тому

    Interesting. What I don't understand is how a 24x24 pixel grid amounts to 180,00 possible features to test for? I would have expected around 424x424 to be in that ballpark! Am I missing something?

  • @aikifab
    @aikifab 3 місяці тому

    So, no OCR features? I'm disappointed on that topic. Thank you very much for your very interesting video

    • @reinerheiner1148
      @reinerheiner1148 3 місяці тому +2

      You should be able to load your own models, so training/loading an ocr model should not be a problem. OCR is one of the most basic machine learning tasks after all

    • @kevinmcaleer28
      @kevinmcaleer28  3 місяці тому +1

      Which OCR model do you want to use? Pretty sure there are some standard models for that out there that can run on this without too much fuss

  • @TexasAi
    @TexasAi 3 місяці тому +3

    Hi! Texas Ai here! Would love to buy one. Any idea who has one in stock in the states?

    • @kevinmcaleer28
      @kevinmcaleer28  3 місяці тому +1

      I think Adafruit will be carrying supplies of this as well as digikey and sparkfun

  • @johnhamirkarim3696
    @johnhamirkarim3696 3 місяці тому +1

    Can this accelerate face recognition?

    • @kevinmcaleer28
      @kevinmcaleer28  3 місяці тому

      Sure - but you'll have to create a model to recognise a specific face. The model for face detection is very different from face recognition.

    • @johnhamirkarim3696
      @johnhamirkarim3696 3 місяці тому

      @@kevinmcaleer28 hoping you'll make a guide for it🫰. Thank you for responding

    • @johnhamirkarim9526
      @johnhamirkarim9526 Місяць тому

      @@kevinmcaleer28 hello, so would it be possible to have a face detection model then feed it to face verification model? Any models you can think of for this use case?

  • @Phonognomiks
    @Phonognomiks 2 місяці тому

    Anyone found a real use case for that? Like mapping on a screen on top of a human some character for example Santa or something?

  • @JarppaGuru
    @JarppaGuru 3 місяці тому

    let say product AI name. no rush AI2 camera come

    • @kevinmcaleer28
      @kevinmcaleer28  3 місяці тому

      No sure I understand the sentiment here.

  • @Eriiiiiiiick
    @Eriiiiiiiick 3 місяці тому +1

    FIRST