I Built the AI Security Camera I Always Wanted

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  • čas přidán 27. 06. 2024
  • This nearly got me evicted…
    *Product Links*
    Raspberry Pi 5 👉 amzn.to/4autbm7
    Coral Dual TPI 👉 amzn.to/3WTyTeg
    External LCD Screen 👉 amzn.to/3QUWZRL
    Pine Board Dual TPU Hat 👉 pineboards.io/products/hat-ai...
    1x PCIE Expansion for RPi 5 👉 geekworm.com/products/x1010
    Generic Web Cam 👉 amzn.to/3Rj3xdt
    ReoLink IP Camera 👉 amzn.to/3UQ3feL
    Contents:
    00:00 - Intro
    01:20 - Coral AI Hardware
    01:48 - Power Draw
    02:00 - Dual Edge TPU
    02:16 - Pineboards Dual Hat
    03:20 - Hardware setup
    04:59 - Pineboard Dual TPU Hat
    05:40 - Dual TPU Installation
    07:56 - Optics
    10:15 - Frigate Setup
    14:07 - Surveillance Setup
    Tutorial For Use With Generic Web Cam
    / how-to-setup-the-coral...
    Dual TPU Install Script for RPi5
    gist.github.com/dataslayermed...
    frigate.video/
    Join us as we dive into one of the most exciting DIY tech projects of 2024, leveraging the newly compatible Raspberry Pi 5 with Google's Coral AI Dual Edge TPU. This advanced setup introduces a cutting-edge approach to home surveillance, surpassing traditional systems like the Amazon Ring by eliminating subscription fees and enhancing privacy.
    Key Features and Setup
    Enhanced Compatibility: Utilize the power of the Raspberry Pi 5 combined with Google's Coral AI Dual Edge TPU to create a formidable DIY security camera system.
    Advanced Hardware: Explore the capabilities of Coral AI hardware, specifically the DUAL PCIE edge accelerator which offers exceptional local AI processing power on a modest budget and energy consumption.
    Complex Installation: Detailed walkthrough on setting up the dual TPU on Raspberry Pi 5, including hardware requirements like the M.2 slot and PCIE expansion board to accommodate the advanced dual TPU setup.
    Software Configuration: Installation of necessary drivers and packages on the Raspberry Pi OS, along with setting up Frigate NVR for efficient video feed processing and model running.
    Real-world Testing and Applications
    Practical Demonstration: Test the system's effectiveness with a live scenario involving a Chick-fil-A order to monitor and track the delivery person.
    Versatile Uses: The technology isn't just for security cameras; possibilities include nanny cams or pet monitors, illustrating the chip's flexibility even in professional setups like Google's enterprise conferencing hardware.
    Closing Thoughts
    Impact on DIY Tech and Home Automation: This project not only pushes the boundaries of home DIY projects but also opens up numerous possibilities for integrating AI in everyday home automation.
    Future Projects and Innovations: Encourages viewers to think about further applications and innovations that can be achieved with Raspberry Pi and Coral AI technology.
    Check out this breakthrough in DIY home security and AI technology, and discover how you can implement these advanced systems in your own home without the hassle of high costs or privacy compromises.
  • Věda a technologie

Komentáře • 27

  • @Sven_Dongle
    @Sven_Dongle Před měsícem +5

    I used the Lenovo ThinkCentre 720Q. A refurb was less than an RPi. It's got an Intel I5 so way more power, comes with NVME 256, 8 gigs, ready to rock. Install Ubuntu. It's got a proprietary PCIx8 for which you get a riser adapter for $20, from there to the M.2 coral PCIx2 to 1 adapter to the M.2 coral edge TPU. You have to remove the external eSATA adapter from motherboard so card fits. Used a jigsaw to cut a hole for chassis fan for active cooling. Worked right away and never gets above 45 deg, under sustained stress tests. The M.2 to PCI coral adapter has a 12v via for fan leads. The whole setup has a nice enclosed profile only slightly larger than RPi jankery.

  • @GiC7
    @GiC7 Před měsícem +3

    Thanks, great project.

  • @jatipikukuh5992
    @jatipikukuh5992 Před 22 hodinami

    I hope you can upload new video explaining about the frigate after installation, maybe u can implement some models so you show how the computer vision works. Thanks man

  • @SchnoogansMcDuff
    @SchnoogansMcDuff Před 27 dny +1

    Your neighbor seems like a super fun guy to be around 🙄

  • @IOSALive
    @IOSALive Před měsícem +1

    Data Slayer, You're so talented! I had to hit the like button!

  • @premium2554
    @premium2554 Před 25 dny

    I found a real gem I guess. Perfect channel, gratz

  • @jonathanrobinson73
    @jonathanrobinson73 Před měsícem

    Great work ...thanks

  • @serversC13nc3
    @serversC13nc3 Před měsícem

    will this work on thunderbolt 4 to m.2 pcie?

  • @wxfield
    @wxfield Před měsícem +8

    100% chance it was your neighbor who narc'd on you. Pick the lock on his apartment and fill it with 1000 live crickets..call building security and complain your neighbor is doing something weird with insects.

  • @Stony5438
    @Stony5438 Před měsícem +1

    15:24 - that chicken store name :D

  • @autonomous_collective
    @autonomous_collective Před měsícem +1

    Thx for sharing...

  • @Sven_Dongle
    @Sven_Dongle Před měsícem +2

    Seems like alot of lag in that processing pipeline. I am getting several hundred frames per second from the dual TPU's baseline. For full object segmentation using several models I see sub 20ms per frame with one TPU.

    • @peteradshead2383
      @peteradshead2383 Před měsícem

      A raspberry pi 5 and no hardware acceleration , no the best set up .

    • @quadcom
      @quadcom Před měsícem +1

      @@peteradshead2383 @Sven_Dongle also running the Pi over wifi on a TPLink router. Lot's of hmmmmm going on with that.
      I would have put MQTT in a container as well. Just simpler to manage when an update comes out.

  • @adityapatil325
    @adityapatil325 Před měsícem

    Aren't coral tpus out of stock?

  • @JoeNassar-og3qe
    @JoeNassar-og3qe Před měsícem +1

    I bought a dual edge coral tpu and I follow every step carefully, changing config.txt, kernel and headers. But only apex_0 is detected. what is missing?

    • @DataSlayerMedia
      @DataSlayerMedia  Před měsícem

      What all hardware are you using?

    • @JoeNassar-og3qe
      @JoeNassar-og3qe Před měsícem +1

      @@DataSlayerMedia sorry..I am using wrong pineboard hat. Thanks for your response

  • @h2_
    @h2_ Před měsícem

    next project: ai robodialing my neighbor until he goes insane

  • @halconnen
    @halconnen Před 16 dny

    not a critique just an fyi - your video has a lot of low frequency audio that is a bit distracting (mostly during typing). most folks don't have a subwoofer that goes down to

  • @4NowIsGood
    @4NowIsGood Před 28 dny

    So what's the AI part of this project?😊 I thought it was going to recognize the person that let you know?

  • @miraclehappens5677
    @miraclehappens5677 Před měsícem

    You Neighbor isn’t happening lol😂him got recorded

  • @peteradshead2383
    @peteradshead2383 Před měsícem

    why oh why ? , why a dual TPU ? , my frigate set up is 6 cameras using a usb TPU and a ryzen 5900g running proxmox .
    With a raspberry PI 5 the CPU and GPU would be the limiting factor before you would need a dual TPU , every camera needs to transcode the stream and remove the audio , frigate works by looking for movement and scaling parts down and passing the frame to the TPU to analyze , so most of the work is done with the CPU / GPU the only time the TPU comes into play is with movement to check is it a cat , dog , bird or superman etc .

  • @HexOptimal
    @HexOptimal Před 11 dny

    Subscribed af

  • @ClodoaldoPintoNeto
    @ClodoaldoPintoNeto Před měsícem

    I like the subject but why I never know what are you talking about?

  • @brokenhand
    @brokenhand Před 11 dny

    bro bring new video on miner