paeblits/audioflask

Flask app that monitors microphone audio.

audioflask

A Flask app that hosts a simple webapp that:

1. Streams microphone audio from a cheap microphone on a Raspberry Pi 3B
2. Performs a fast fourier transform (fft) using scipy.fftpack
3. Displays the frequency spectrum using Highcharts
4. Monitors for a specific dryer "buzz" sound (currently in a non-sophisticated way)
5. Notifies people via text message

This app currently looks in specific frequencies to detect the specific sound. An improvement would be to implement a neural network that can learn any sound pattern and monitor for that.

Credit and Resources: But what is the Fourier Transform? A visual introduction. [https://www.youtube.com/watch?v=spUNpyF58BY]

Let's Build an Audio Spectrum Analyzer in Python! (pt. 1) the waveform viewer. [https://www.youtube.com/watch?v=AShHJdSIxkY]

dependencies

• Linux distribution, such as Raspbian Stretch
• Python 3.6
• flask 1.0.2
• pyaudio 0.2.11
• numpy 1.15.4
• scipy 1.1
• highcharts 6.2
• bootstrap 4.1.3

installation

I'm using Raspbian Stretch 4.14 for this deployment. It should come with Python 3. You can check /usr/bin/:

ls -l /usr/bin/ | grep python

3. Install pyaudio dependencies, then pyaudio

$ sudo apt-get install libasound-dev portaudio19-dev libportaudiocpp0 ffmpeg libav-tools libportaudio2 libatlas-base-dev
$ sudo pip3 install pyaudio

4. Install other Python 3 dependencies: scipy (Flask is likely already installed)

$ sudo pip3 install scipy

5. Clone this repository

git clone https://github.com/paeblits/audioflask.git

6. Set up environment variables for Flask. You can append a variable to your .profile

$ nano ~/.profile
export FLASK_APP=/path/to/your/audioflask/app.py
save the file, exit, and source it
$ source .profile

7. Open firewall port

8. run the app

python3 -m flask run