#Magic mirror raspberry pi too hot code
#Magic mirror raspberry pi too hot free

After this 'simple' recognizer recognized the phrase ('Alexa'), the input from the microphone was sent to Alexa. Also, the wake-up phrase should be recognized on-device, so there was a need of an on-device speech recognizer dedicated to recognizing only one phrase. If we were using Amazon's Echo, this functionality would have already been included, but as we had our own device, something needed to take the microphone input and stream it to Alexa. This framework helps writing skills that are compatible with both Alexa and Google's Assistant at the same time.įinally, after the skill was done, an Alexa client application had to be deployed.

#Magic mirror raspberry pi too hot code

All other services that we have tested were not reliable enough for our needs.įor the skill itself, instead of writing the whole code on our own, we have decided to use the Jovo framework.

#Magic mirror raspberry pi too hot free

A minor issue was that the free version couldn't use the same URL between runs (reboots) and we had to change the skill settings on each boot, but a few lines of code on startup fixed this (updating the skill settings on each start). It gave us a URL on their domain and this URLwas always forwarded to our device, wherever it was. We have worked around this by using ngrok, a service 'creating tunnels to localhost'. In our case the mirror should be able to be taken to any home and connected to the Wi-Fi there, getting a new IP that Alexa needed to know. First necessary information was its IP address. Now Alexa could contact the Raspberry Pi directly and get the information that it needs. We have created the skill in JavaScript and run the nginx server. As we had to have some kind of application serving this information to the skill, we have decided to host the whole skill server on the Raspberry Pi. But our application needed input from the object detection running on the device itself. Both these ways are easy to setup and they are free. the Amazon Lambda functions, or the newer Alexa-Hosted Skills. Amazon offers several ways to host the skills, e.g. The skill should be running on a server which is contacted by Alexa on each user request. There were no buttons to do so, so we created voice commands for that. Say what´s in front of the mirror (object classification).Make selfies and e-mail it to a colleague (it´s a mirror, there´s a camera: the perfect use-case).Then we defined use-cases for our magic mirror. We first chose a wake-up phrase and appropriate example sentences that our mirror should display by default. Camera for object recognition (as soon as a person steps in front of the magic mirror, it is recognized and the screen is switched on).Microphone for transmission of audio input to Alexa.Raspberry Pi, connected with a display behind a semi-tranparent mirror.Cloud-based speech recognition Amazon Alexa.like, 'What is that what I've got in my hand?' - answer: 'That's a bicycle.').Īt the end we decided for the following components: The magic mirror should be able to speak with a user and recognize pictures (e.g.

weather, calendar, news)Īll necessary components should be installed in one housing.

Real-time image classification using deep neural networks.

Cloud-based, real-time speech recognition.

Our Magic Mirror should stand out from the normal ones through various technologies and requirements: From our point of view a ' MAGIC MIRROR' based on the idea of Michael Teeuw was especially suitable.

Components for Text, Buttons, Select, Lists, Switch, Radio Buttons, Media Player, Video, QRCode, etc.At our last day of an 'open house' we wanted to offer our company visitors something very special in order to present voice control as clearly as possible.

Intentional design with good animations/typography etc.

Widget layout, maximizing apps, global settings, etc.

Should have less memory usage, smaller bundle size, and faster startup than Electron.

Built with Tauri (Rust-based Electron alternative).

Easy app (package) installation and management.

Multi-Input interaction support (Touch, keyboard, rotary knob, etc.).

Will include a design system UI component library, and utilities to access useful sensor data and more.

Dev kit: Developers should be able to easily create apps.

Better performance, startup times, app size.

One-click install: No need for coding or command line experience to setup and use.

Ability to 'open' apps to focus in and show more than just a widget.

Feel free to leave any suggestions or ideas you have! I would love to hear about what people would like to see. Mostly because I think it would be fun to build, and there are probably some areas to improve on, functionally and technically. I am looking into creating an alternative though. First off, I love MagicMirror! I’ve been using it for a while and it’s amazing.