QR Code Generation and Verification System Using Raspberry Pi

In this project, we harness the Raspberry Pi to generate QR codes that encode specific words provided by the user. Each word corresponds to a unique QR code, facilitating a system that doesn't rely on a webcam for scanning. The implementation involves Python programming and the qrcode library for QR code generation, ensuring simplicity and efficiency. Users input four distinct words through a user interface or command line, which are then converted into QR codes. These codes can be displayed on a screen or printed for physical use. The system verifies the correct word by decoding scanned QR codes manually or through image files, using image processing techniques within the Raspberry Pi environment. This project showcases the versatility of QR codes for word identification in scenarios where webcam usage is restricted, emphasizing practical applications in educational and interactive settings.

Keywords: robot control, eye movement, USB web camera, Raspberry Pi, computer vision, DC motors, real-time processing, robotics platform, assistive robotics, human-machine interaction