Detect, track, score with
Qualcomm Dragonwing
Vision Kit
An open-source AI vision platform ready for FIRST® Robotics teams.
DEVELOPER KIT
First Pi built on Qualcomm AI for vision.
The RUBIK Pi 3 is a lightweight development board based on the Qualcomm® Dragonwing™ QCS6490.
PHOTONVISION INSTALLATION
Computer vision system for FIRST® Robotics competition
PhotonVision comes ready to use on RUBIK Pi 3. Track targets, detect game pieces, and navigate autonomously. Just boot up and start configuring.
USING PHOTONVISION
Run AI vision pipelines
RUBIK Pi 3 uses Qualcomm's AI acceleration technology to deliver high-performance AprilTag processing and object detection.
EDGE IMPULSE
Train custom object detection models for your robots
Edge Impulse is a Qualcomm platform that helps teams create, test, and train custom vision models to recognize specific game elements. Teams can build detection models and deploy them directly to the RUBIK Pi 3.
ABOUT
The AI-Powered Vision System
The FIRST® Robotics Competition (FRC) is an annual international high school robotics program that provides teams the opportunity to design, build, and compete with robotics and computer vision projects using the Qualcomm Dragonwing Vision Kit (QDVK).
RUBIK Pi 3
QDVK comprises open-source tools and the RUBIK Pi 3, powered by the Qualcomm Dragonwing™ QCS640 processor. RUBIK Pi 3 features a fast neural processing unit (NPU) for AI-powered object detention directly on the device. It offers low power consumption, supports multiple cameras, and onboard UFS storage to support current and future vision use cases.
Edge Impulse integration
For creating and testing custom vision models, QDVK supports Edge Impulse, a Qualcomm platform for training models to recognize specific game elements. Teams can build detection models and deploy them directly to the RUBIK Pi 3.
PhotonVision support
The QDVK also integrates PhotonVision, an easy-to-use open-source vision tool commonly used in the FRC community to track game pieces, field markers (e.g., AprilTags), and scoring targets. Using PhotonVision, teams can set up cameras to experiment with different vision configurations and approaches and see how vision data is processed on the QDVK during competition.
Getting started
Set up
Set up the vision system by following the camera setup tutorial, which walks through connecting cameras to the RUBIK Pi 3.
Benefits
AprilTag localization
AprilTags are visual markers placed on the field that robots can easily detect with one or more cameras. They help robots understand where they are and line up accurately during autonomous and driver-controlled periods in FIRST Robotics competitions.
Object detection on device
Using Qualcomm's AI acceleration technology to deliver high-performance vision processing, QDVK ensures your robot can detect and analyze objects with precision and speed in both competition matches and the real world.
Easy set up and integration
The QDVK vision system works with PhotonVision and supports Edge Impulse for training and testing vision models. These familiar, open-source tools don't require custom hardware or a complicated setup, so there is more time to experiment with advanced computer vision capabilities.
Easy-to-use interface for vision basics
PhotonVision helps teams handle common vision tasks like camera setup, tracking targets, and working with multiple cameras thanks to its easy-to-use interface.
Resources
