Individual skill
yolo-detection-2026-coral-tpu-win-wsl
Google Coral Edge TPU — real-time object detection natively via Windows WSL
skills/detection/yolo-detection-2026-coral-tpu-win-wsl/SKILL.md
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- ai Repository topic
- deep-learning Repository topic
- face-recognition Repository topic
- object-detection Repository topic
- video-surveillance Repository topic
- machine-learning Repository topic
- python Repository topic
- home-assistant Repository topic
- camera Repository topic
- computer-vision Repository topic
- engineering Derived category
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Read excerpt
# Coral TPU Object Detection (Windows WSL)
Real-time object detection natively utilizing the Google Coral Edge TPU accelerator on your local hardware via Windows Subsystem for Linux (WSL). Detects 80 COCO classes (person, car, dog, cat, etc.) with ~4ms inference on 320x320 input.
## Requirements
- **Google Coral USB Accelerator** (USB 3.0 port recommended)
- **WSL2** installed and running on Windows
- `usbipd-win` installed on the Windows host
## How It Works
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