Computer Vision on Raspberry Pi - Beginner to Advanced

Build Real-World Computer Vision Applications on Raspberry Pi and Learn Basics of Neural Networks using Google Colab What you'll learn: What is Raspberry Pi? and what are its components?Understand peripherals that need to be connected to Raspberry PiWire up your Raspberry Pi to create a fully functional computerEasily learn preparing SD Card to load Operating System for Raspberry PiInstall packages needed to build Computer Vision applicationsLearn basic programming aspects of PythonCreate simple Image Processing applications using Python and OpenCVBuild real-world Image Processing applications on Raspberry Pi 4/3/2/ZeroLearn basics of Neural Network using Google Colab Computer Vision Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 4 and is fully compatible with Raspberry Pi 3/2 and Raspberry Pi Zero.The course is ideal for those new to the Raspberry Pi and who want to explore more about it. You will learn the components of Raspberry Pi,connecting components to Raspberry Pi, installation of the NOOBS operating system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi and the basics of neural networks.This course will take beginners without coding skills to a level where they can write their own programs.The basics of Python programming language are well covered in the course.Building Computer Vision applications aretaught in the simplest manner, which is easy to understand.Users can quickly learn hardware assembly and coding in Python programming for building Computer Vision applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in real-time scenarios.The course is taught by an expert team of engineers having PhD and Postdoctoral research experience in Computer Vision and Deep Learning.Anyone can take this course. No engineering knowledge is expected. Th