An service option to interact with Arlo cameras

Interacting with the Arlo system is very attractive for who acquired the hardware and enjoy all the benefits of these equipments. Which by the way are very good, flexible and full of good properties.

To interact with this system with a developer's perspective I found two interesting python-based projects.

Python-arlo: https://github.com/tchellomello/python-arlo
Arlo: https://github.com/jeffreydwalter/arlo

Both propose different features but Python-arlo has a good documentation and structure of its API.

The objective for this integration is to support applications from Google Assistant, for this reason I integrated the service into an App Engine flex env project. I included flask as an interaction framework and with this I have the option to use a service interface.

This would be our ideal architectural map:

We looking for continue with the application initiated from:

Hey Google ... Where is my dog?

* Of course we will have to implement the logic creating various intents into the agent from DialogFlow. [you can see more details in this article "Google Assistant, simpleness of interaction to call a webhook"]

Let's see a simple method used in the service:

Here [ArloCamService] can see the initial version of the service.

An service option to interact with Arlo cameras by Nicolas Bortolotti is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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If you are interested in contributing with TensorFlow, a very interesting option is the proposal of SIG. TensorFlow hosts Special Interest Groups (SIGs) to focus collaboration on particular areas. What is a TensorFlow SIG? SIGs do their work in public. The ideal scope for a SIG meets a well-defined domain, where the majority of participation is from the community. Additionally, there should be sufficient evidence that there are community members willing to engage and contribute should the interest group be established. More information here, https://www.tensorflow.org/community/sig_playbook If you have ideas, and you want to participate with me into this initiative, here I have a open communication channel to start the analysis of the proposal: https://tensorflowexperiences.nicolasbortolotti.com/main/sig Esta obra está bajo una Licencia Creative Commons Atribución-CompartirIgual 4.0 Internacional .

Nick Bortolotti

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