September 2, 2019 AT 12:25 pm Machine Learning Monday! BrainCraft HAT for Raspberry Pi and single board Linux computers @adafruit @raspberrypi @tensorflow #machinelearning #tinyML #raspberrypi. 10 Raspberry Pi creations that show how amazing the tiny PC can be. (Multiple Arcade Machine Emulator) software onto a Raspberry Pi inside a coin-operated JAMMA cabinet. It wasn't easy.

1. Raspberry Pi Machine Learning
2. Arcade Machine Raspberry Pi
3. Raspberry Pi Slot Machine Software
4. Raspberry Pi Machine Vision

Raspberry Pi Machine Learning

This is a fork of the Bfruit slot machine python program with amenities for the Raspberry Pi and LED control functionality. Bfruit (https://sourceforge.net/projects/bfruit/) was written by Balázs Nagy (https://sourceforge.net/u/nxbalazs/profile/) and Ferenc Nagy (https://sourceforge.net/u/nferenc/profile/). Bfruit was originally licensed under the GNU General Public License version 2.0 (GPLv2) (https://sourceforge.net/directory/license:gpl/). I have updated this license to GPL 3.0 to include my changes. Bfruit was originally posted on SourceForge, and not GitHub, that is why I call this a fork, but it is not listed as such.

Arcade Machine Raspberry Pi

The project series that contains more info on my contribution to this project can be found at https://www.element14.com/community/community/raspberry-pi/raspberrypi_projects/blog/2016/09/29/raspberry-pyslots-the-costume-introduction

Raspberry Pi Slot Machine Software

This is a new simplified fork of the Bfruit slot machine python program with amenities for the Raspberry Pi and LED control functionality. This version is simple to use with just two buttons and controlls three external GPIO Relays which can controll 230V disco lights :).

Credits to

Raspberry Pi Machine Vision

• Bfruit (https://sourceforge.net/projects/bfruit/) was written by Balázs Nagy (https://sourceforge.net/u/nxbalazs/profile/) and Ferenc Nagy (https://sourceforge.net/u/nferenc/profile/).
• Modified Bfruit (https://github.com/CharlesJGantt/Raspberry-PySlots) written by Charles Gantt (https://github.com/CharlesJGantt)