AlphaBit OpenML
2025
Documentation
Introduction
Follow the steps in -> Getting Started to prepare your device for using the Machine Learning model or the Color Blob Detection model.
Welcome to the OpenML development documentation for the FTC robot – an innovative open-source platform developed by the AlphaBit Machine Learning team. Our project is designed to bring the most advanced machine learning technologies directly into the FTC robotics arena, facilitating free access to a complete, pre-trained, and mathematically prepared solution for any team interested in performance and innovation.
In a world where competition is increasingly fierce, integrating artificial intelligence and advanced algorithms into robotic systems becomes essential. That's why we developed OpenML for the FTC robot so you can benefit from:
  • Pre-trained Models: Our solution comes equipped with already trained machine learning models, optimized for object recognition, autonomous navigation, and other critical functions during FTC competitions.
  • Orientation and Angle Detection: OpenML integrates mathematical algorithms that allow precise detection of orientation and angles from the onboard camera. This aspect is essential for autonomous navigation and performance on the competition field.
  • Modular Architecture: Each component of the platform can be customized and extended, allowing teams to add specific functionalities or integrate new modules according to their competition strategy.
  • Open-Source: All resources are available for free to any interested team. Whether you are a new team or an established one, you can benefit from these technologies.
  • This project is intended for all teams – whether you are just starting out or already have experience in the field. By opening up our resources, we aim to stimulate innovation, improve performance in FTC competitions, and create a collaborative community where every contribution counts.

    We invite you to explore each component of this platform in detail and discover how OpenML can transform your team's strategy and execution on the competition field. Each section of the documentation is designed to provide you with the necessary support for the rapid and efficient implementation of machine learning technologies in FTC robotics.

    Enjoy this innovative experience and do not hesitate to contribute to the continuous development of the project!
    Setup

    Overview

    2D Sample Detection
    3D Sample Detection
    Training ML
    Examples