sssAI

AI based motion detection for Synology Surveillance Station - For instructions on use see https://blog.cadams.me - Wiki coming soon!

Features:

• Uses https://deepstack.cc/ for object recognition
• Use the native DS Cam app for mobile notifications
• HomeKit integration (via HomeBridge and Homebridge Webhooks & Camera-ffmpeg plugins)
• Captured image with border-box annotations saved for review

Performance

• DS920+ (20GB RAM) - Deepstack set to "low" - ~2 seconds for image recognition
• DS918+ (12GB RAM) - Deepstack set to "medium" - ~4 seconds for image recognition
• DS713+ (4GB RAM) - Deepstack set to "low" - ~9 seconds for image recognition

Running using docker-compose

If you want to run the containers in a docker host separate from your Synology device, you can use the docker-compose.yml file.

1. Clone this repository on your docker host
2. Create the required directories (mkdir -p ./data/captures ./data/deepstack)
3. Create settings.json and cameras.json (see *.example files)
4. Optionally edit docker-compose.yml to configure your time zone and network ports.
5. Start the services (docker-compose up -d)
6. Optionally tail the log files (docker-compose logs -tf sssai)

On the first time you run the service