Computer Vision with the Raspberry Pi4- OpenCV and Tesseract OCR
Let's explore computer vision with the Raspberry Pi4 and camera module. Learn to combine Python, OpenCV, and Tesseract OCR. In the end, we will build a live use case of Automatic License Plate Recognition (ALPR) with the Camera Module. We’ll explore how to apply computer vision on Embedded devices. This course will let you build practical, real-world computer vision applications on the Raspberry Pi4. Basically, machine learning inference running on the device will let Raspberry Pi see and analyze images and video streams on the edge device
You’ll learn the following topics in the course
1 Introduction
2 Software Installation
3 Learn Python
4 Data Structure
5 Learn OpenCV
6 Control Statements and Exceptions
7 Working with Images and Videos
8 Drawing Shapes Rectangle on Images
9 Drawing Lines and Circles on Images
10 Working with Text on Images
11 Transformation and Down-sampling on Videos
12 Features Exploration using OpenCV Functions
13 Extracting Contours from Media Files
14 Project on Automatic License Plate Recognition
15 Final Deployment of ALPR on Raspberry Pi4
16 Running Machine Learning Inference of ALPR Project
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Umesh Lokhande
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