🎯 Real-time object detection using Raspberry Pi 🎯

Build Your Own AI-Powered Vision System: From Dataset Creation to Deployment, We’ve Got You Covered

Introduction

Have you ever wanted to build your own intelligent vision system, capable of identifying objects in real time? Imagine a security camera that can recognize faces, a robot that can sort objects, or a smart home device that responds to your presence. With the power of object detection, a Raspberry Pi, and this comprehensive guide, you can make it a reality!

Object detection is a transformative computer vision technology that allows computers to “see” and identify objects within images or video streams. Its applications are vast, spanning security, autonomous driving, robotics, and many other domains.

In this step-by-step tutorial, we’ll walk you through the entire process of building a real-time object detection system using the affordable and versatile Raspberry Pi. We’ll cover everything from setting up your hardware and preparing your dataset to training a machine learning model and deploying it for real-time inference. While we will focus on detecting oranges, this is just an example, and you can adapt this to detect any object of interest.