Color Detection & Tracking with ESP32 Camera & OpenCV

Описание: Up to 20%-30% off for PCB & PCBA order:
Only 0$ for 1-4 layer PCB Prototypes:
https://www.nextpcb.com/?code=Htoeletric

Register and get $100 from NextPCB:
https://www.nextpcb.com/register?code...

𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
This project is all about Color Detection & Tracking with ESP32 CAM Module & OpenCV. Thus, we will be detecting any specific colors during live video streaming. Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps. This method is completely different from other ESP32-CAM Color Detection methods as we are not writing the color detection code for Microcontroller. Rather we will use our laptops for Python Code. This method makes the processing faster.

Later we will also share the values from our python code to ESP32-CAM using a Client-Server connection. The method of color detection used here is HSV or Hue Saturation Value conversion.

Here we have used the ESP32-CAM module, which is a small camera module with the ESP32-S chip. Besides the OV2640 camera and several GPIOs to connect peripherals, it also features a microSD card slot that can be useful to store images taken with the camera.

Initially, we will write the C Code for ESP32 CAM & then install Python and the required Python libraries. Later we will go through the Python Programming for using OpenCV. This is an essential tutorial as you will be able to use any sort of Image processing or Machine Learning on the live video without having to write it on Arduino IDE.

𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗟𝗶𝗻𝗸𝘀 & 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲: https://how2electronics.com/color-det...
....................................................................................................................................................................................................................................

Drop a like if you liked this video.
Don't forget to subscribe to our channel for more Electronics projects and tutorials.

Website: https://www.how2electronics.com
Facebook:   / how2electronics  
Instagram:   / how2electronics