I Ran a Raspberry Pi License Plate Scanner for 2 Hours
ฝัง
- 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
Want to run the ML inference on the edge? 👉
So the RPi is just capturing the images and sending them to the cloud, not actually doing the recognition processing...
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!
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.
that "bro" destroyed me too!
Most of the work is done by the cloud service not the pie. The cloud service has massive computation which is needed
What's the case name?
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.
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.
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.
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!
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?
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?
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.
You weren't arrested but surely scared some drivers
This is terrifying.
Phooey! Cloud plate recognition service? Then it is NOT an RPi plate scanner.
Where can you buy any raspberry pi for $35?
Like this video. I follow you.
This has to be the worst scripting and acting on TH-cam