Object tracking using a Raspberry Pi 3B

This video documents the creation of an object detection project. It uses a Denash 5MP camera module for the Raspberry Pi 3B to detect openCV aruco markers. And then uses SG90 Servos for fixation.

This is a self-starter project to apply mechanical design using SOLIDWORKS, electrical wiring and basic computer vision techniques for aruco detection.

The code for this camera tracker:

Raspberry Pi 3 B

Denash 5MP camera module

SG90 Servo motor

Warn users when using default pin factory for servos

Robot servos aligned

[enesbilge]

Hello sir. I am just interested in the pixel coordinates of the desired image (for example a tennis ball). Can you help me with the code of this? For example around min 1:00 you are mentioning a detection of a square pattern can you share the code of only this action please? Please it is so important for me.

[sdknstar]

Would like to see if you can control camera movement by joystick from another raspberry pi that connects at the same network...

[melihcanyldz]

If it is possible, Could you share solidworks files that you used for this project ?

[reshari]

good afternoon, could you explain or show how you connected the server to the board directly without a conductor?

[yogaaditya]

Hey do u know how to impelementation this kind of tracking with using deep learning?

[andriydzygar]

Hello Rey! Can we talk a little bit about your Object tracking system?

[mehmetaliduran]

what is better servo or step motor for this

[fabiodesolei]

Hi Rey can you collaborate for similar projects?