| name | kami-package-detection |
| description | A free skill by Kami SmartHome. Get notified the moment a package arrives at your door. Detects packages, parcels, and bags from RTSP camera streams using AI vision. |
| version | 1.0.4 |
| author | kami-smarthome |
| tags | ["smart-home","kami","home-assistant","smarthome","detect","object-detection","yolo","package-detection","parcel-detection","iot","camera","rtsp","onnx","edge-ai","delivery","monitoring","notification"] |
| triggers | ["smart home","kami","home assistant","detect","detect packages","detect parcels","kami package","kami smart home","home assistant package","smart home delivery","check doorstep","delivery notification","check for deliveries","package detection","is there a package","monitor packages","check camera for packages","any deliveries at the door","parcel alert"] |
| metadata | {"openclaw":{"requires":{"bins":"[Truncated]"},"emoji":"📦"}} |
Kami Package Detection
Get notified the moment a package arrives at your door.
Monitor your camera feed for packages, parcels, backpacks, handbags, and suitcases. When detected, returns the object class and bounding box as JSON — ready for automation.
Features
- 📦 Package & parcel detection
- 🧳 Suitcase / backpack / handbag recognition
- 🏠 Doorstep & reception monitoring
- ⏱ Configurable detection duration
- 🔔 JSON output for easy integration
Scenarios
- Doorstep delivery waiting
- Office reception package management
- Warehouse cargo monitoring
- Temporary item watch
Installation
bash setup.sh
Creates .venv/ and installs onnxruntime, opencv-python-headless, numpy. Idempotent.
Prerequisites
python3 and python3-venv installedyolov8s-worldv2.onnx model file in the skill directory- RTSP camera online and reachable
Model
The yolov8s-worldv2.onnx model file is included in the skill package. If missing, re-download this skill from ClawHub:
clawhub install kami-package-detection
Alternatively, download the YOLOv8s-World v2 .pt model from Ultralytics YOLO-World and export it to ONNX yourself. Make sure the class names used during export match the --class_names parameter:
pip install ultralytics
yolo export model=yolov8s-worldv2.pt format=onnx imgsz=320
cp yolov8s-worldv2.onnx /path/to/kami-package-detection/
Parameter Confirmation
Before running, confirm these parameters with the user:
| Parameter | Default | Description |
|---|
--rtsp_url | rtsp://127.0.0.1/live/TNPUSAQ-757597-DRFMY | RTSP camera URL |
--conf_threshold |
