I Ran a Raspberry Pi License Plate Scanner for 2 Hours

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  • เผยแพร่เมื่อ 21 ต.ค. 2022
  • Product Links (some are affiliate links)
    - Raspberry Pi 5 👉 amzn.to/3SrbY77
    In this tutorial we transform a Raspberry Pi 4 and Camera V2 module into a License Plate Recognition scanner.
    Git Hub Repository
    github.com/aioverlords/Remote...
    platerecognizer.com/
    cloud.google.com/datastore
    www.raspberrypi.com/software/
    Commands
    Update Raspberry Pi
    sudo apt-get update
    sudo apt-get dist-upgrade
    sudo apt full-upgrade
    reboot
    Install Node
    Install Npm
    curl o raw.githubusercontent.com/cre... | bash
    source ~/.nvm/nvm.sh
    nvm install 4.2.1
    nvm install node
    nvm install 8.10.0
    nvm use 8.10.0
    sudo chmod -R 777 directory_name
    npm install node-fetch@2
    npm install log-timestamp
    npm install @google-cloud/datastore
    Next we’ll install FFMPEG which is how you manipulate media files programmatically.
    apt-get install ffmpeg
    ping raspberrypi.local
    ssh pi@raspberrypi.local
    git clone github.com/aioverlords/Remote...
    Process images from VMS, camera, your app or FTP.
    Send results via JSON or Webhooks to your system.
    Forward ALPR results to ParkPow to get alerts, dashboard, etc.
    Send ALPR results to open/close gate (synchronized with ParkPow).
    Raspberry Pi 4 Model B is the latest product in the popular Raspberry Pi range of
    computers. It offers ground-breaking increases in processor speed, multimedia
    performance, memory, and connectivity compared to the prior-generation
    Raspberry Pi 3 Model B+, while retaining backwards compatibility and similar
    power consumption. For the end user, Raspberry Pi 4 Model B provides desktop
    performance comparable to entry-level x86 PC systems.
    This product’s key features include a high-performance 64-bit quad-core
    processor, dual-display support at resolutions up to 4K via a pair of
    micro-HDMI ports, hardware video decode at up to 4Kp60, up to 4GB of RAM,
    dual-band 2.4/5.0 GHz wireless LAN, Bluetooth 5.0, Gigabit Ethernet, USB 3.0,
    and PoE capability (via a separate PoE HAT add-on).
    The dual-band wireless LAN and Bluetooth have modular compliance certification,
    allowing the board to be designed into end products with significantly reduced
    compliance testing, improving both cost and time to market.
    #alpr #raspberrypi #creatornow

ความคิดเห็น • 33

  • @DataSlayerMedia
    @DataSlayerMedia  ปีที่แล้ว +2

    Want to run the ML inference on the edge? 👉

  • @mascatrails661
    @mascatrails661 ปีที่แล้ว +19

    So the RPi is just capturing the images and sending them to the cloud, not actually doing the recognition processing...

  • @BertClaes
    @BertClaes ปีที่แล้ว +9

    Hi, the subtitles are more annoying than helpful. This is not a format my brain can process easily. It would be nice if you just create youtube subtitles or let youtube create them, it would be much more legible that way! thanks! congrats with the project!

  • @houghi3826

    As you do nothing on the Pi itself, I would say you owe somebody 100.00 EUR. Because this is like saying that you can make a blind person say the color of a car passing by and all you do is tell him the color of the car. And perhaps instead of send the person 100 USD, just send her 3 of these 35 USD Pi systems and ask 5 USD back.

  • @thelastoneee3741

    that "bro" destroyed me too!

  • @sys1aeg
    @sys1aeg ปีที่แล้ว +2

    Most of the work is done by the cloud service not the pie. The cloud service has massive computation which is needed

  • @oleksiyyeryomenko205
    @oleksiyyeryomenko205 ปีที่แล้ว +1

    What's the case name?

  • @colinzhu9631

    how close the camera has to be to capture a clear plate number? I setup camera module 3 in my drive way but it doesn't see plate clearly.

  • @user-bj4lp3fr1o

    Could this be adapted to read speed limit signs (from within the car) as the car passes them? I don't think OCR is needed you could just match images of different signs at 30, 40 etc mph.

  • @enriqueillan3985
    @enriqueillan3985 ปีที่แล้ว +3

    How many images do you send to the plate recognition system send per second? I mean if you split 24 frames per second do you send 24 images to the API? Thank you in advance.

  • @mr.manfresh4244
    @mr.manfresh4244 ปีที่แล้ว +3

    Hey man, great video! I'm trying to recreate this for a school project but i need help with 2 things. 1. When i run the code it just says "waiting for change in flags.txt", what do I need to do? 2. Where do I put the API key from the website? Thanks!

  • @3DGENFIRE
    @3DGENFIRE ปีที่แล้ว

    Did you test the maximum offset angle for your LPR? And I assume this will not work at night without some version of IR illumination and a night vision camera?

  • @bccicone
    @bccicone ปีที่แล้ว

    I need this for detecting license plates entering snd exiting a condo complex mounted on a pole. Additionally need to have solar and only take pictures on motion any suggestions what parts are needed?

  • @DustyRhodes1986

    Is there any to set this up to run with a Canon DSLR or a way to get high res or pro grade photos? Or take the photos with the Canon, and using syncthings to auto upload the photos from my phone to my PC or a Raspberry Pi and have them ran by the recognitioning and put in a database? I take a lot of car photos and I would like to have a database that inputs the tag number, and vehicle make and model either from the photo or like a CarFax type service that I can sort a few different ways.

  • @dreadmn
    @dreadmn ปีที่แล้ว

    You weren't arrested but surely scared some drivers

  • @Shiro128b
    @Shiro128b ปีที่แล้ว

    This is terrifying.

  • @charlesspringer4709

    Phooey! Cloud plate recognition service? Then it is NOT an RPi plate scanner.

  • @aaro_n
    @aaro_n ปีที่แล้ว +1

    Where can you buy any raspberry pi for $35?

  • @robotdog8713

    Like this video. I follow you.

  • @datboyfabi
    @datboyfabi ปีที่แล้ว

    This has to be the worst scripting and acting on TH-cam