Yet another fun playground IOT project where the aim is to explore the RaspberryPI with a TFT hat, camera and other stuff as well as work with a few sensor connected to a Arduino UNO. Sensor data - and other stuff - will be sent to the cloud for processing. Exploring cloud services such as storage, analytics, realtime messaging ... and where ever the force leads us.

The project work as following:

• The tft hat on the rpi displays informations from the sensors in- and outside the aquarium
• The background picture of the tft hat is the latest shot from the onboard camera
• The onboard camera is triggerd by fish's (and other marine life) breaking the laser beam.
  • Camera pictures as using on tft hat as well as loaded up to a S# bucket on AWS
  • The camera have various trottle functions avoiding it to go bananas. These are configurable
• Sensordata are send on regular, configurable intervals, up to the Elasticsearch service on AWS. Here they can be displayed and analysed using Kibana

• RPI v3 using on-board camera
• 2.2 PiTTF hat from Adafruit

• DS18B20 for water temperature
• BME280 for air temp, pressure, humidity
• Photoresistor
• Laser diode
• TSL2561 for external light
• Funduino water sensor

• Raspian Jessie
• Nodejs
• Johnny-five
• Raspistill for taking snapshots
• Imagemagick to resize snapshots

• Amazon AWS S3 for image storage
• Amazon Elasticsearch services for sensordata stoage and analysis

To get started (Hardware)

• Get the rpi 3 up and running using rasberian Jessie or newer (i guess) with raspistill and Imagemagick
• Put the Adafruit 2.2 tft hat on top of the rpi3
• Connect the rpi to the Arduino board using an usb cable
• Make sure that the Arduino has installed the Standard Firmate software
• On the arduino wire-up sensors
  • TSL2561 and BME280 are using the i2c bus. Remember to provide them with 3.3v power, not 5v.
  • The laser diode is using a digial port
  • The photoresistor is using an analog port. The camera function will be triggered by breaking the laser beam. The length of the wires will depend on your set-up
  • The DS18B20 is using a digial port (amongst others)
  • The Funduino Watersensor is using an analog port
• On the rpi connect the camera to the on-board port. Having a flex cabel of 1m+ will be a good idea :)

To get started (Software)

• Clone the project from github
• Go to the aquapi project and do a "npm install"
• Alter the config/config.json to your preferences and set-up
• I recommend using the setup/aquapi_env for storing aws secrets (not using the condfig file)
• Use the setup/elastic_setup.sh to create the elasticsearch index for holding the sensor data. Rememver environment variables fron setup/aquapia_env.
• Start with "npm start"
• use grunt watch (and other tasks to lint, beautify++)

Description for some of the most important configurable features

• SensorSamplingRate: How often we will sample sensors on the arduino (ms)
• SendSensorRate: How often we will send sensordata to aws (ms)
• LaserMotionThreshold: The light level on the photoresistor indicating a broken laser beam
• SnapshotThrottleTime: How long do we wait before taking another snapshot (ms)