RobLab is a software tool designed for line scan camera hand-eye calibration, aiming to provide users with a convenient and efficient calibration solution. The software offers data visualization in both 3D and 2D windows, utilizing a user-friendly Ribbon-style interface. Additionally, it provides attribute and data browsing windows to enhance the calibration process. Please note that the current version of the calibration algorithm only supports sphere-based calibration.
- 3D and 2D Data Visualization: RobLab allows users to visualize their data in both 3D and 2D formats, providing a comprehensive understanding of the calibration process.
- Ribbon-Style Interface: The software adopts a modern Ribbon-style interface, making it intuitive and easy to navigate for users of all levels.
- Attribute and Data Browsing Windows: RobLab offers attribute and data browsing windows, providing quick access to relevant information and enhancing the calibration experience.
- Sphere-Based Calibration: The current version of RobLab exclusively supports calibration based on spheres, offering accurate and reliable calibration results.
- Operating System: RobLab is compatible with Windows, macOS, and Linux operating systems.
- Hardware Requirements: The software requires a minimum of 4GB RAM and 1GHz processor for smooth performance.
- Graphics Card: A graphics card that supports OpenGL 2.0 or higher is recommended for optimal 3D visualization.
- Download the latest version of RobLab from the official website (www.rob-lab.com).
- Run the installer and follow the on-screen instructions to complete the installation process.
- Launch RobLab from the desktop or Start menu after installation.
- Upon launching RobLab, you will be greeted with the Ribbon-style interface.
For any issues, questions, or feedback related to RobLab, please reach out to our support team at support@rob-lab.com. We value your input and strive to continuously improve our software to meet your needs.
We would like to express our gratitude to the open-source community for their contributions to the libraries and frameworks used in RobLab.