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A rasperry pi application for tracking persons and with a camera and sending statistics to MQTT

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toschoch/docker-dietzitrack

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Dietzi IoT Track

author: Tobias Schoch

Overview

A rasperry pi application for tracking persons and with a camera and sending statistics to MQTT

Change-Log

0.1.5
  • included join process for gracefull stop
  • fixed smaller bugs and updated to the facerec tracker callbacks refactoring
  • use password
  • added last will
  • used callback for identification in separate thread
  • added example conf for service
  • added retaining
  • improved mqtt topics
  • read DOCKER_HOSTNAME for hostname
  • included heartbeat and image publish
  • switch to arm alpine for the cache plugin
  • remove the arm for plugins
  • try withouth mount
  • try to use plugins on linux-arm
  • add priviledged mode
  • added logging to slots
  • add drone cache
  • test for amr docker plugin
  • fixe newline
  • fixed the image in docker step
  • updated to multiarch ci/cd
  • working on rpi3b+
  • test that should work on rpi
  • use base image with opencv
  • working on picamera but sooooo slow
  • added a mqtt module that connects on request only
  • first tests on drone.yml
  • updated to facerec v0.1.0
  • add requirements
  • opencv version logging to mqtt working
  • update readme
  • base raspi image and facerec dep
0.0.1
  • initial version

Installation / Usage

clone the repo:

git clone https://github.com/toschoch/docker-dietzitrack.git

build the docker image

docker build . -t shocki/dietzitrack

Example

run a container of the image note the explicit declaration of the camera device

docker run -d --rm --name track --device /dev/video0 shocki/dietzitrack

As devices in swarm deploys are not yet supported by docker. The docker-compose.yml cannot yet be used.

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A rasperry pi application for tracking persons and with a camera and sending statistics to MQTT

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