Proto1

Bowls Eye

Repository for team 18's Real Time Embedded Programming Raspberry Pi project.

Watch our promotional video at the link below!

Installation

To install the bowls eye system on the Raspberry Pi run the following

git clone https://github.com/rv456/BowlsEye.git
cd BowlsEye/Code/Pi_BowlsEyeMain/
make
./main

Dependancies

The BowlsEye system requies Bluez and pigpio libraries. It also requires that SPI and bluethooth are enabled on the Raspberry Pi

Bluetooth

sudo apt-get install bluetooth blueman bluez libbluetooth-dev

PIGPIO

rm pigpio.tar
sudo rm -rf PIGPIO
wget abyz.me.uk/rpi/pigpio/pigpio.tar
tar xf pigpio.tar
cd PIGPIO
make
sudo make install

from the installation instructions here

SPI

sudo raspi-config

navigate to SPI and enable, you will then need to reboot the Pi to enable the changes

sudo reboot

Repository Structure

Code contains all of the code written for the Raspberry Pi and the external GUI. Code documentation can be found here.

KiCad contains the various hardware design files used throught the project, including a full BOM and fabrication files. (note that part numbers for everything used in the project can also be found directly in the schematics thanks to kifields.

Planner contains documents related to project planning. These will be removed once the project is completed.

Resources contains various datasheets, notes and other supporting files.

Team Structure

Harvey Leicester: Raspberry Pi programming and hardware design.

Calum West: GUI programming and ultrasound guru.

Problem

Assistive technology is used throughout many sports to aid referees to determine the correct decision, or allow competitors to appeal against said decisions. However, in the sport of lawn bowls, there is still a large factor of human error that can occur when measuring the distance between the jack and the bowls when the game is close. As this is currently done with standard measurement techniques, any misreading of this distance by the referee will determine the wrong outcome of the game. Therefore, this project aims to remove the possibility of human error in these measurements by designing a real time embedded system that can perform these measurments more accurately than a human.

Solution

We have designed a system which uses ultrasonic transducers mounted on a stepper motor in order to map the distance from the jack to the surrounding area. This data is read via SPI by a Raspberry Pi and then transmitted via Bluetooth for a display on a GUI. More information can be found on our wiki.

A system overview is shown below, and you can follow our progress via this git, or our facebook or twitter.