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+---
+type: training-material
+domain: programming
+subdomain: vision
+level: 2
+tags: [photonvision, vision, apriltag, python, raspberry-pi]
+prerequisites: [programming-level-1, electrical-level-1]
+source: https://photonvision.org/
+status: active
+---
+
+# PhotonVision — FRC Computer Vision
+
+**Website:** https://photonvision.org/
+**Purpose:** Free, fast, easy computer vision for FRC
+
+## What It Is
+
+PhotonVision is the largest FOSS FRC vision project. It runs on a coprocessor (Raspberry Pi 3/4, OrangePi 3, etc.) and handles:
+- AprilTag detection and pose estimation
+- Object detection (ML-based)
+- Multi-camera support
+- Driver mode integration
+
+## Why We Use It
+
+Team 2890 runs PhotonVision on **Mothman** for AprilTag detection. It's our primary vision system.
+
+## Key Capabilities
+
+| Feature | Description |
+|---------|-------------|
+| AprilTag Tracking | Out of the box FRC target support |
+| Multi-Tag Pose | Fuse all available data for peak accuracy |
+| Camera Calibration | Per-camera intrinsics maximize homography accuracy |
+| ML Object Detection | Hardware-accelerated inferencing for gamepieces |
+| Driver Mode | Same camera for driving and vision |
+| Multi-Camera | Run as many cameras as hardware supports |
+
+## Getting Started
+
+1. Download PhotonVision image for your coprocessor
+2. Flash to SD card
+3. Connect to network — start tracking in minutes
+4. Configure via web dashboard
+
+## Connection to YAGSL
+
+PhotonVision works alongside YAGSL (swerve). YAGSL handles drive control, PhotonVision handles vision targets.
+
+## 2026 Champs Talk
+
+PhotonVision 2026 presentation covers:
+- Rubik Pi 3 hardware
+- Object Detection with PhotonVision
+- Slide deck coming soon
+
+## In The Curriculum
+
+This topic belongs in:
+- **Programming Track → Level 2** (after basic Java/WPILib)
+- **Vision Module** (Apriltag tracking, camera setup)
+
+## Source
+
+https://photonvision.org/
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