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