[Python ANPR Course] Real-Time Automatic Number Plate Recognition In Your Car!

A tutorial on how to code a real-time Automatic Number Plate Recognition (ANPR) system that you can install in your vehicle! You'll basically be a highway patrol police car!

This is a 56 minute Python course on how to develop an Automatic License Plate Recognition (ALPR) system using the Asus Tinker Edge T with Python 3.

Source code here: https://github.com/edgecate/ANAL

You'll learn how to:
✅ Use a Deep Learning AI model to detect license plates,
✅ Photograph it with OpenCV 4,
✅ Convert the photo to text with OpenALPR,
✅ Display the results on to a GUI with PyQT5 & Pandas, and
✅ Install the system in your car

Chapters:
0:00 Introduction
0:53 Pre-requisites
1:52 Create The GUI
4:58 Export The GUI
6:01 Add Webcam Video To GUI
12:16 Setup GUI Table
14:35 Copy .PY To Tinker Edge T
19:54 Add Object Detection
30:06 Save License Plate As An Image
39:27 Convert License Plate Image To Text
45:03 Check Registration
47:25 Output Results To CSV
53:31 Car Installation
55:26 Outro

For Hardware, you'll need:
-an Asus Tinker Edge T with a power supply & HDMI cable,
-a webcam,
-a portable monitor, and a
-3-5 metre USB cable

For Software, the libraries used for this course are:
-OpenCV 4,
-OpenALPR,
-PyQT5,
-TensorFlow Lite,
-Tesseract OCR,
-ImageMagick,
-Jupyter,
-Chromium, and
-Pandas.

Credits & Links:
PyQt5 OpenCV WebCam Using QThread: https://stackoverflow.com/questions/6...
Install Mendel OS:    • Asus Tinker Edge T - Install Mendel L...  
Install Chromium:    • Asus Tinker Edge T - Install Chromium...  
Install Jupyter:    • Asus Tinker Edge T - Install Jupyter ...  
Install OpenCV 4:    • Asus Tinker Edge T - Build OpenCV Fro...  
Install Tesseract OCR:    • Asus Tinker Edge T - Build Tesseract ...  
Install OpenALPR:    • Asus Tinker Edge T - Build OpenALPR F...