Kami Image Search

> Search your camera's visual history with natural language.

Monitor your camera feed, capture frames automatically, and retrieve matching images by simply describing what you're looking for. Powered by the Kamivision cloud API for AI description and embedding generation.

Features

• 🔍 Natural language image search
• 📸 Automatic frame capture from video streams
• 🧠 AI-powered image description (Kamivision API)
• 📁 Manual image import (JPEG / PNG / BMP / WebP)
• 🔁 Built-in duplicate frame detection
• ⏱ Time-range filtering
• 🏠 Designed for Kami SmartHome ecosystem

Scenarios

• Doorstep delivery verification
• Home activity review
• Pet or child monitoring playback
• Batch photo indexing and retrieval

Installation

bash setup.sh

Checks for Python 3.10, creates .venv/, and installs opencv-python-headless, numpy, requests, Pillow, faiss-cpu. Idempotent.

Prerequisites

• Python 3.10 (setup.sh auto-detects system / pyenv / conda; auto-installs via conda or pyenv if missing)
• image_config.json configured with your stream URL(s) and Kamivision API key
• RTSP/RTMP camera(s) online and reachable (for capture mode)

Kamivision API Key Setup

This skill requires a KAMIVISION_API_KEY to access the Kamivision cloud API.

Check: Read the KAMIVISION_API_KEY field in image_config.json.

• If already configured (non-empty) → Use it directly, no need to ask.
• If empty → Ask the user if they already have an API Key:
• Yes → Enter the key directly. It will be saved to image_config.json.
• No → Register at Kamivision Flow to obtain your API key. 🎁 New users get 200 free credits on first registration.

Parameter Confirmation

Before running, confirm these key settings in image_config.json:

Multi-Camera Configuration Example

{
  "cameras": [
    {
      "STREAM_URL": "rtsp://192.168.1.100/stream",
      "DEVICE_ID": "CAM-FRONT",
      "CAPTURE_INTERVAL": 10
    },
    {
      "STREAM_URL": "rtsp://192.168.1.101/stream",
      "DEVICE_ID": "CAM-BACK",
      "CAPTURE_INTERVAL": 15
    }
  ],
  "KAMIVISION_API_KEY": "your-api-key",
  "DATA_DIR": "./image_data",
  "TIME_ZONE_OFFSET": -12
}

• Each camera runs as an independent background process
• DEVICE_ID must be unique across all cameras
• Camera entries can override global defaults (CAPTURE_INTERVAL, OUTPUT_WIDTH, SKIP_DUPLICATE, etc.)
• Legacy single-camera config (without cameras array) is still supported for backward compatibility

Common Brand RTSP Templates

MUST show this table to the user when configuring cameras, so they can pick a URL pattern based on their brand:

Ask the user: do any parameters need to be changed?

Usage

Start Capture

# Start all cameras
.venv/bin/python image_search.py --start-capture

# Start a specific camera
.venv/bin/python image_search.py --start-capture --device CAM-FRONT

Stop Capture

# Stop all cameras
.venv/bin/python image_search.py --stop-capture

# Stop a specific camera
.venv/bin/python image_search.py --stop-capture --device CAM-FRONT

Check Status

# Status of all cameras
.venv/bin/python image_search.py --status

# Status of a specific camera
.venv/bin/python image_search.py --status --device CAM-FRONT

Import Images

# Single image
.venv/bin/python image_search.py --import /path/to/photo.jpg --json

# Entire directory (recursive)
.venv/bin/python image_search.py --import /path/to/photos/ --json

Search

# Search across all cameras
.venv/bin/python image_search.py --search "keys on the table" --json

# Search a specific camera only
.venv/bin/python image_search.py --search "keys on the table" --device CAM-FRONT --json

Search with Time Range

.venv/bin/python image_search.py \
  --search "person in blue jacket" \
  --time-start 1754538000 --time-end 1754541600 \
  --json

Output (stdout JSON)

{
  "status": "ok",
  "query": "keys on the table",
  "count": 1,
  "results": [
    {
      "image_name": "CAM-FRONT_1754538507.jpg",
      "image_path": "/opt/image_data/CAM-FRONT/20250815/CAM-FRONT_1754538507.jpg",
      "description": "A set of keys and a wallet on a table",
      "device_id": "CAM-FRONT",
      "timestamp": 1754538507,
      "time": "2025-08-15 10:00:07 AM",
      "score": 0.7823
    }
  ]
}

Exit Codes

Troubleshooting

• bash: .venv/bin/python: No such file or directory → Run bash setup.sh
• OpenCV cannot open stream → Check camera is online and STREAM_URL is correct
• Kamivision API error → Verify KAMIVISION_API_KEY and network connectivity
• Unsupported file format → Only JPEG, PNG, BMP, WebP are supported
• No search results → Ensure images have been captured/imported; try lowering SIMILARITY_THRESHOLD
• FAISS index load failed → Index may be corrupted; system rebuilds automatically, re-import data if needed

Privacy Notice

This skill involves camera video stream frame capture and cloud-based image analysis. Please review the following privacy information before use:

Cloud API Calls

• Relies on KamiClaw API for VLM image description and text embedding
• Data sent to the cloud is used solely for real-time inference and will not be persistently stored or used for model training
• API communication uses HTTPS encryption

Local Data Storage

• Captured frames are stored in the working directory; users can delete them at any time
• Supports retention_days parameter for automatic expiration and deletion of historical data
• API Key is cached in ~/.kami/credentials.json (permission 600, readable only by the current user)

User Control

• Camera URL is configured by the user; this skill will not auto-discover or connect to cameras
• You can stop the skill at any time, delete local frame data and index files
• You can revoke your API Key at any time to terminate cloud access

> For more details on our privacy policy, visit: https://kamiclaw-skill.kamihome.com/privacy