Android Things A.I. Candy Dispenser

The Android Things A.I Candy Dispenser it's a demonstration of how to create a “smart” candy machine. The device have a game that ask the user for a specific thing like a Bird, Dog ou Cat and the user should show a photo of that thing in the predefined time to win candies.

This project uses a button to interact with the user, obtains images via a camera peripheral and a modified electric candy dispenser being controlled by a GPIO with a transistor.

When the user start the game, the device takes pictures in sequence and processes each one using Tensorflow and MobileNet neural network, which classifies each image. This info is used by the device to see if it matches what it requested. When we have a match, the motor of the candy machine is activated to give the user the prize.

All users interface is presented in a Serial i2C 20x4 Display.

Pre-requisites

• Android Things compatible board
• Android Things compatible camera (for example, the Raspberry Pi 3 camera module)
• Android Studio 3.1+
• "Google Repository" from the Android SDK Manager
• The following individual components:
  • 1 push button
  • 1 resistor
  • 1 electric candy machine
  • 1 NPN transistor
  • 1 diode
  • 1 Serial i2c 20x4 Display
  • jumper wires
  • 1 breadboard

Schematics

Running

To run the app module on an Android Things board:

1. Connect a push button to your device's GPIO pin according to the schematics below
2. Deploy and run the app module
   • Reboot the Android Things board in order to grant the camera permission (this is a known issue with Developer Preview )
3. Press the button to start the game and see what it asks.
4. Search for a photo and show to the camera.
5. Wait for the results, if it succeeds it will ask you to press the button to release the candies.

References

• https://github.com/androidthings/doorbell
• https://github.com/androidthings/sample-tensorflow-imageclassifier