Project Title

Lane departure prevention system

Project Summary

Crash Avoidance system which will feature fatigue detection, lane departure and swerve warning system and proximity collision avoidance.The market is government departments dealing with road safety, as well as wheelchairs and buggies, and car manufacturers / enthusiasts.

Group Members

  • Kelian Ronan Avellano
  • Ed Bevege
  • Oliver Abraham Burnett
  • Isabella Grando
  • Min Khant Kyaw
  • Adam Stephen Pigram
  • Rachel Salman

Project Title

Autonomous Emergency Braking retrofit in older cars

Project Summary

AEB and Lidar used for crash avoidance system on older cars.

Group Members

  • Angus Grant Callinan
  • Connor Harvey
  • Martin Jules Poirel
  • Leroy Veerhuis
  • Mitchell Youman

Project Type

Assistive technology for Dementia sufferers

Project Summary

Provide technology to assist those with Dementia to resolve life issues and use the IoT to carers.   

Group Members

  • Bradley William Clark Bower
  • Joshua Huf
  • Jake Nash
  • Alexander Thomas Renkin-Day
  • Braydon Webster

Project Type

Smart Watch for Dementia patients

Project Summary

Development of a smart watch for dementia patients with a fully networked timetabling system for medication, eating and life skill reminders programmable by a nurse, and tracking using GPS based sensors and heart rate monitoring.

Group Members

  • Harry Gordon Briese
  • David Chicharo
  • Josiah Jesse Jacobs
  • Liam John North
  • Bhanushanth Subendran
  • Darcy James Patrick Woods

Project Type

Crash Avoidance in Rural areas

Project Summary

A system to avoid and to notify others of crash and location of crash in remote and rural locations with durress signalling to relevant authorities such as police and ambulances.

Group Members

  • Anthony Burchell-Bailey
  • Jeffrey Chamouille
  • Robert Josef Jarrett
  • Jacob Luis Nunes
  • Phoenix Sinton-Scott

Project Type

Tracking in their own home dementia patients with moderate and early stage disease symptoms - called the  product name CaSA (Carers Sensor Array)

Project Summary

The development of technology which can track dementia patients in their home and provide services as needed in the home. 

Group Members

  • Ali Mohammed Rashed Saif Alrashdi
  • Will Fuller
  • Jarrad Michael Hudson
  • Lucia Novarin
  • Edward Matthew Arnall Prescott
  • Alexis Roland
  • Maria Vieira Ribeiro

Project Type

Accident avoidance and detection system

Project Summary

Technology to avoid and detect an accident and provide alerts to authorities after an event.

Group Members

  • Flore Marie Anais Croize
  • Geoffrey Marie Tristan
  • Vincent Ugo Garcia Ortiz
  • Farrukh Iqbal
  • Benoit Potier
  • Jayden Thomas Sara
  • Congwei Wang

Project Type

Avoid low velocity reverse parking accidents using reverse parking sensor system

Project Summary

Technology that allows the driver to safely do a reverse park and avoid accidents that are minor but have a high cost to repair.

Group Members

  • Gabriel Ageron Dit Blanc
  • Auriane Baly
  • Paul Echegut
  • Callum Goldfinch
  • Adithya Lakshmi Narasimhan
  • Ojaswi Shilpakar
  • Robert Willis

Project Type

Detection of vehicles (including bikes) at traffic lights using load cells.

Project Summary

Detection of vehicles (including bikes) at traffic lights using load cells to reduce accidents/incidents at traffic light intersections.

Group Members

  • Hugo Florian Casa Nova
  • Louis Paul Arthur Faucompre
  • Ye Eun Faith Han
  • Michael McCandless
  • Mathan Shreshta Raja
  • Joshua David Smedley
  • Changlin Xie

Project Type

Smart Pedestrian crossing - the E-cross

Project Summary

Technology to warn of pedestrians and cars about the pedestrian crossing using sensors on crossing and sensors around crossing.

Group Members

  • Robin Jean Coiffier
  • Hugo Fontaine
  • Thomas Hill
  • Luka Milanovik
  • Tasman James Reedie
  • Terence Andy Yoan Thivillon
  • Tom Sarrant