# A Dashboard setup for video cameras

**URL:** https://discourse.nodered.org/t/a-dashboard-setup-for-video-cameras/12165
**Category:** Share Your Projects
**Created:** [13 June 2019 06:49 UTC](https://discourse.nodered.org/t/a-dashboard-setup-for-video-cameras/12165 "2019-06-13T06:49:44Z")
**Posts on this page:** 1
**Showing post:** 74

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### Author: ![krambriw](https://sea2.discourse-cdn.com/flex026/user_avatar/discourse.nodered.org/krambriw/32/5429_2.png) [@krambriw](https://discourse.nodered.org/u/krambriw)
#### Post date: [11 April 2020 10:31 UTC](https://discourse.nodered.org/t/a-dashboard-setup-for-video-cameras/12165/74 "2020-04-11T10:31:07Z")

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This is the first trial and it already works as expected!! Thanks to many contributors providing great nodes, I have just put them together in a simple flow

I will share the flow, required nodes etc very soon, asap we finished easter lunch etc etc, so later today or tomorrow

Functionality:

- when an image is dropped in the watched folder, manually or created by Motion, it will be recognized, sent for coco ssd analyze, if a person is detected, boxes will be drawn and finally it will be sent via email
- as additional feature, there is a mqtt in node in the flow. This allows image data to be sent via mqtt. This is how I communicate images over the network from my Motion installations on several RPi's to one common analyzing computer (to make this happen, on motion detected, a python script is started by Motion where the image is taken and forwarded over mqtt)

 ![image](https://us1.discourse-cdn.com/flex026/uploads/nodered/original/3X/2/8/28bee7287221a3845eece58384f8cca94529efa8.png)

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