robmarkcole/HASS-Deepstack-object
Home Assistant integration for Deepstack AI object detection to count and track objects like people and vehicles in camera feeds.
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This repository provides a Home Assistant custom component that wraps Deepstack, a dockerized computer vision service. It creates image_processing entities that detect and count target objects (people, vehicles, animals, etc.) from camera feeds, with configurable confidence thresholds and regions of interest. Processed images with bounding box visualizations can optionally be saved to disk for further use.
Frequently asked
- What is robmarkcole/HASS-Deepstack-object?
- Home Assistant integration for Deepstack AI object detection to count and track objects like people and vehicles in camera feeds.
- Is HASS-Deepstack-object open source?
- Yes — robmarkcole/HASS-Deepstack-object is open source, released under the MIT license.
- What language is HASS-Deepstack-object written in?
- robmarkcole/HASS-Deepstack-object is primarily written in Python.
- How popular is HASS-Deepstack-object?
- robmarkcole/HASS-Deepstack-object has 447 stars on GitHub.
- Where can I find HASS-Deepstack-object?
- robmarkcole/HASS-Deepstack-object is on GitHub at https://github.com/robmarkcole/HASS-Deepstack-object.