Individual skill
yolo-detection-2026-coral-tpu-macos
Google Coral Edge TPU — real-time object detection natively (macOS / Linux)
skills/detection/yolo-detection-2026-coral-tpu-macos/SKILL.md
Source commit 933dcc7c90226cd1f92dc6ea7cee3b3c94790ad0
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
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- Repository stars (not skill ratings)
- 3,135
- Repository last updated
- Sep 17, 2026
- License
- MIT
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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
Real-time object detection natively utilizing the Google Coral Edge TPU accelerator on your local hardware. Detects 80 COCO classes (person, car, dog, cat, etc.) with ~4ms inference on 320x320 input.
## Requirements
- Python 3.9–3.13
## How It Works
```
┌─────────────────────────────────────────────────────┐
│ Host (Aegis-AI) │
│ frame.jpg → /tmp/aegis_detection/ │