The “Autonomous Rubik’s Cube Solver Using Image Processing” project presents an intelligent robotic system capable of automatically detecting, analysing, and solving a Rubik’s Cube without human intervention. The system is built using a Raspberry Pi 4, Arduino Nano, Pi Camera module, servo motor driver, and eight servo motors integrated with a rack and pinion mechanism for precise cube rotation and movement. The Pi Camera captures images of all faces of the Rubik’s Cube, and image processing algorithms running on the Raspberry Pi 4 identify the colors and arrangement of the cube blocks. Based on the detected pattern, the system computes the optimal solving sequence using a Rubik’s Cube solving algorithm. The generated commands are transmitted to the Arduino Nano, which controls the servo motors through the motor driver circuit. The rack and pinion mechanism ensures accurate gripping and smooth rotational movement of the cube faces, improving mechanical stability and solving efficiency. The proposed system demonstrates the integration of robotics, embedded systems, computer vision, and automation techniques to achieve fast and reliable cube solving. This project reduces manual effort, enhances solving accuracy, and provides an effective platform for learning image processing and robotic manipulation concepts. The system can be further enhanced with advanced AI algorithms, wireless monitoring, and faster motor control for real-time industrial and educational robotic applications.        

The main objectives of this project are:

  To design and develop an autonomous robotic system capable of solving a Rubik’s Cube automatically using image processing techniques.

  To use a Raspberry Pi 4 for capturing and processing cube images through the Pi Camera module.

  To identify and analyze the color pattern of the Rubik’s Cube using digital image processing algorithms.

  To implement a Rubik’s Cube solving algorithm for generating the shortest and most efficient solution sequence.

  To interface the Arduino Nano with servo motors for precise control of cube movements.

  To develop a rack and pinion mechanism for accurate gripping and smooth rotational movement of the cube faces.

  To synchronize image processing, motor control, and mechanical operations for fully automated cube solving.

  To reduce human effort and improve solving speed and accuracy through robotic automation.

  To demonstrate the practical application of embedded systems, robotics, and computer vision in automation projects.

  To create a scalable system that can be enhanced with AI-based optimization and wireless monitoring in future developments.      

The major building blocks of this project are:  

1. Adapter power supply.
2. Raspberry pi4.
3. SD card.
4. Pi camera.
5. Arduino nano.
6. Servo motor driver.
7. 8 servo motors.
8. WPVC wood.
9. Rack and Pinion Mechanism.

          Software’s used:  

• Raspbian OS.
• Express SCH for Circuit design.
• Image processing technology.

                                             

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