| Abstrakt: |
This project focuses on developing and implementing a robotic control system based on detecting signs and gestures using computer vision. The main goal was to create an intuitive and efficient interface for interacting with an OMRON Viper 650 industrial robot. To achieve this, computer vision technologies like Mediapipe and OpenCV were used to detect and recognize the user’s hands and fingers in real-time. The collected data was processed with a Python script and stored in a text file. Additionally, a program was developed in C# using OMRON’s ACE programming interface to extract data from the text file and send commands to the Viper 650 robot, enabling it to interpret the user’s gestures and perform actions accordingly. This project has successfully created an innovative solution that combines computer vision, programming, and industrial robotics to provide an intuitive and efficient control experience, opening up new possibilities in industrial and human-robot interaction applications. |
