I purchased this USB mic supporting analog audio-out, and I connected my old analog speaker to the device.
[Step 1] Audio setup
List up the USB audio device to confirm the card and device numbers:
pi@raspberrypi:~ $ arecord -l
**** List of CAPTURE Hardware Devices ****
card 1: Device [USB PnP Sound Device], device 0: USB Audio [USB Audio]
Subdevices: 1/1
Subdevice #0: subdevice #0
Edit ~/.asoundrc as follows:
pcm.!default {
type asym
capture.pcm "mic"
playback.pcm "speaker"
}
pcm.mic {
type plug
slave {
pcm "hw:1,0"
}
}
pcm.speaker {
type plug
slave {
pcm "hw:1,0"
}
}
[Step 2] Install Google Assistant and run it
https://developers.google.com/assistant/sdk/develop/python/?authuser=1
Make this script and run:
source env/bin/activate
export ASSISTANT_MIC_SENSITIVITY=-12
google-assistant-demo
I purchased this USB dongle and this headset.
[Step 1] Upgrade bluez to the latest one
https://learn.adafruit.com/install-bluez-on-the-raspberry-pi/installation
[Step 2] Upgrade pulseaudio and check bluetooth connectivity
http://youness.net/raspberry-pi/bluetooth-headset-raspberry-pi-3-ad2p-hsp
[Step 3] Install Google Assistant and try it out
https://developers.google.com/assistant/sdk/develop/python/?authuser=1
Note: it seems like that bluez requires Pulseaudio, unlike the case of USB mic.
My headset's voice sensitivity is no good, so I set ASSISTANT_MIC_SENSITIVITY to -48:
pulseaudio --start
source env/bin/activate
export ASSISTANT_MIC_SENSITIVITY=-48
google-assistant-demo
Anyway, it's not a good idea to use both WiFi and Bluetooth enabled on RasPi. The interferance is significant.
$ apt-get update
$ apt-get install mosquitto
$ pip install paho-mqtt
- Download Java8 from https://java.com/en/download/
- Set JAVA_HOME and PATH environment variables.
Download Cassandra and start it:
$ wget http://ftp.meisei-u.ac.jp/mirror/apache/dist/cassandra/3.4/apache-cassandra-3.4-bin.tar.gz
$ tar zxvf http://ftp.meisei-u.ac.jp/mirror/apache/dist/cassandra/3.4/apache-cassandra-3.4-bin.tar.gz
$ cd apache-cassandra-3.4/bin
$ ./cassandra
Connect cqlsh to Cassandra:
$ ./cqlsh
https://github.com/openalpr/openalpr
$ alpr <image file>
plate0: 8 results
- 2217 confidence: 91.239
- Z217 confidence: 78.6942
- 2Z17 confidence: 78.384
- 22I7 confidence: 78.1156
- ZZ17 confidence: 65.8392
- Z2I7 confidence: 65.5708
- 2ZI7 confidence: 65.2606
- ZZI7 confidence: 52.7158
I have confirmed it works on my Raspberry Pi 3:
$ apt-get install motion
[USB Webcam]-[Raspberry Pi 3]- on_picture_save ->[OpenALPR]-- MQTT -->[Cassandra]
--- raw image ---------------> [Cassandra]