ROVER Control Station

I developed the Front-End interface for a ROVER Control Station as part of a team project.

My main responsibility was designing and implementing the React-based control dashboard and developing the YOLO-based object detection component for autonomous navigation.

The interface provides:

• Real-time camera feed display

• Manual and autonomous control modes

• Motion and speed indicators

• Connection and system status monitoring

• Rover control interface

• Clear visualization of detection and navigation states

For the computer vision part, I trained and tested a YOLO11n model to detect plastic bottles and implemented the detection logic that determines the rover's navigation direction based on the detected object's position.

Technologies used:

React.js, JavaScript, HTML, CSS, Python, YOLO11n, OpenCV

This project gave me practical experience in building a real-time robotics interface and applying computer vision for object detection and autonomous navigation.