DeepStack AI + trigger firing for home automation setups.
100K+
THIS PACKAGE IS NO LONGER UPDATED ON DOCKER HUB To use this package please use the GitHub Package Repository version instead.
This system uses Docker containers to run DeepStack AI and process images from a watch folder, then fires a set of registered triggers to make web request calls, send MQTT events, and send Telegram messages when specified objects are detected in the images.
This project was heavily inspired by GentlePumpkin's post on ipcamtalk.com that triggers BlueIris video survelliance using DeepStack as the motion sensing system.
The following five steps are all that's required to start using AI to analyze images and then call a web URL, e.g. triggering a BlueIris camera to record.
docker-compose.yml, settings.json and triggers.json files from the sampleConfiguration directory locally.docker-compose.yml file to modify the mount point for source images and set the timezone.triggers.json to define the triggers you want to use.docker-compose up from within the folder that contains your docker-compose.yml file to start the system running.Setting the timezone via the TZ environment variable in docker-compose.yml is important for
every thing to work smoothly. By default Docker containers are in UTC and that messes up
logic to skip existing images on restart. A list of valid timezones is available on
Wikipedia. Use any value
from the TZ database name column.
Editing the .json files in Visual Studio Code or some other editor that understands JSON schemas is recommended: you'll get full auto-complete and documentation as you type.
Having trouble? Check the logs output from Docker for any errors the system may throw. The troubleshooting page has tips for resolving common deployment problems.
To enable the different push notifications handlers:
settings.json to specify specify the connection information for the service.triggers.json to add mqtt, Pushbullet, Pushover, or Telegram handlers.The project wiki has complete documentation on:
The following tags are available in the Docker repository:
| Tag name | Description |
|---|---|
latest | The latest released build. This lags slightly behind dev. |
dev | The latest code as it is checked into the project's master branch. This may contain breaking changes that aren't documented yet. |
version-<version> | The specific released version, e.g. version-1.5.0. |
Content type
Image
Digest
Size
62.6 MB
Last updated
over 5 years ago
docker pull danecreekphotography/node-deepstackai-trigger