Automatic Object Counting System with ESP32 Camera & OpenCV | Industrial Product Counter Tutorial

In this tutorial, we’ll show you how to build an Automatic Object Counting System using the ESP32-CAM Module and OpenCV for industrial applications. By leveraging Python and the powerful OpenCV library, we’ll detect objects based on color contrast, making this system perfect for tracking and counting products in real time. This ESP32-CAM module features an OV2640 camera and is paired with a microSD card slot for storage. We’ll walk you through all the steps, from hardware setup to programming the ESP32-CAM using the FTDI module. After setting up the hardware, we’ll guide you through installing Python, the required libraries, and the Python code to process the video feed for object detection. Learn how to harness image processing and machine learning techniques on a live video feed to count objects without relying on the Arduino IDE. What You’ll Learn: How to set up the ESP32-CAM module How to program it using the FTDI module How to use OpenCV and Python for object detection Build a real-time Industrial Product Counter Perfect for industrial automation projects, this tutorial will give you the knowledge to integrate machine learning and image processing in your own custom applications. Let's get started! Download the Source Code: https://gist.github.com/cyrusmeh/6e56aa8683cc2ba61c5a5f2348a1a723