OpenCV AI Kit Social Distance Detection Tutorial - Raspberry Pi - Python - Computer Vision 2021

Learn how to build a real-time social distancing detection monitoring alarm using a Raspberry Pi and the OpenCV AI Kit OAK-D in this Python computer vision tutorial. Explore the implementation of a portable, low-powered system capable of detecting people at 30 FPS using either MobileNet SSD or YOLOv3 tiny models. Discover the step-by-step process, from system overview and requirements to coding explanations and testing. Gain insights into 3D printing the OAK-D, downloading the necessary repository, and utilizing Roboflow for dataset management. This comprehensive guide covers hardware setup, code walkthrough, and practical demonstrations, providing you with the skills to create your own social distancing detection application using embedded platforms.

Demo
Introduction
Stay still the end
System Overview
Requirements
Schematic
How The Code Works
3d-Printing The OAK-D
Download The Repo
Coding Tutorial Explanation
Testing+Demo
Roboflow Walkthrough
Closing & Membership