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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.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
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| 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 | 1.0.2 |
| author | kami-smarthome |
| tags | ["smart-home","object-detection","yolo","package-detection","parcel-detection","iot","camera","rtsp","onnx","edge-ai","delivery","monitoring","notification"] |
| triggers | ["detect packages","detect parcels","check for deliveries","package detection","is there a package","monitor packages","check camera for packages","any deliveries at the door"] |
| metadata | {"openclaw":{"requires":{"bins":["python3"]},"emoji":"📦"}} |
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.
bash setup.sh
Creates .venv/ and installs onnxruntime, opencv-python-headless, numpy. Idempotent.
python3 and python3-venv installedyolov8s-worldv2.onnx model file in the skill directoryThe yolov8s-worldv2.onnx model file is included in the skill package. If missing, re-download this skill from ClawHub:
clawhub install kami-package-detection
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 | 0.25 | Confidence threshold (0.0–1.0) |
--class_names | parcel package "delivery box" person "Cardboard box" "Packaging Box" backpack handbag suitcase | Classes to detect |
--run_time | 60 | Max seconds; 0 = unlimited |
Ask the user: do any parameters need to be changed?
.venv/bin/python yolo_world_onnx.py \
--rtsp_url rtsp://your-camera-address \
--run_time 60
{
"detections": [
{
"class_name": "parcel",
"bbox": {"x1": 100, "y1": 200, "x2": 300, "y2": 400}
}
]
}
| Field | Type | Description |
|---|---|---|
class_name | string | Detected object class |
bbox.x1, y1, x2, y2 | int | Bounding box coordinates |
| Code | Meaning |
|---|---|
0 | Target detected, JSON output written |
1 | Error (model missing, RTSP failure, runtime exception) |
2 | Timeout, no target detected within --run_time |
bash: .venv/bin/python: No such file or directory → Run bash setup.shModel file not found → Place yolov8s-worldv2.onnx in the skill directoryCannot open video → Check camera is online and --rtsp_url is correct