Project Name
Smart Garden
Project Summary
HydroYARD is designed to provide individuals with a monitoring system for small scale hydroponic gardens that tracks growth and environmental metrics in order to automate garden management
Group Members
- William Allen
- Kashintha Imal Ambagahawatta Ambagahawatte
- Reece Blanche
- Darcy Grimson
- Christopher Issa
- George Mugisha
- Monica Sweeney
Industry Sponsored
N/A
Project Name
Driving Fatigue detection
Project Summary
The Rest-Ez system is a product that detects signs of fatigue in a driver and alerts them to their lack of focus on the road. Being capable of detecting fatigue and notifying users will help prevent related incidents from occurring on Australian roads
Group Members
- John Davis
- Angus Ferguson
- Xiuchen Han
- Julien Hill
- Abdulaziz Mohammed
- Liam Riordan
- Ethan Zvargulis
Industry Sponsored
N/A
Project Name
Shoalhaven Water IoT filling station
Project Summary
Shoalhaven water manages several water filling stations within the Shoalhaven LGA. The current filling stations utilize an outdated system that does not align with the smart data future that Shoalhaven water is aiming for. This smart IoT station will allow for the local control of the water filling stations, with RFID verification, data collection and online display.
Group Members
- Cameron Biggs
- Thomas Hain
- Benjamin Herne
- Daniel Triffett
- Nicholas Wilson
Industry Sponsored
Shoalhaven Water
Project Name
Reducing blind spot in trucks when merging lanes
Project Summary
The Truck-Aware System has a design aim of providing drivers of heavy vehicles with additional safety features that are not currently implemented by the manufacturer. These features would include blind spot detection and assistance with driving inside lanes.
Group Members
- Jarrod Marshall
- Elise Murray
- Kye Riepsamen
- Aaron Ryan
- Noah Sarkis
- Max Stuart
Industry Sponsored
N/A
Project Name
Temperature controlled lithium-ion battery tester
Project Summary
The Temperature-Controlled Lithium-Ion Battery tester is intended to enable the measurement of lithium-ion cell characteristics. It enables controlled charge/discharge cycles of battery cells, whilst recording measurements of voltage and current. These measurements can be analysed to create sophisticated battery models, enabling prediction and control of cells in a variety of applications.
Group Members
- Charlie Newell
- Sarah Roberts
- Luella Rodin
- Brandon Shaw
- Jesse Smart
- Lachlan Tate
Industry Sponsored
N/A
Project Name
Hydroponics
Project Summary
HydroSmart+ is a simple, modular and customisable device that users can easily install into their gardens to monitor and control plant growth from their personal devices. The ESP32 microcontroller will be the brains of the device which will be interfaced with multiple sensors, actuators and will communicate with the user’s device via a custom IoT dashboard
Group Members
- Nestor Prohm
- Alec Landstra
- Ewan Jones
- Shakif Aziz Turjo
- Mitchel Alker
- Brodie Howson
- Joe Fares
Industry Sponsored
N/A
Project Name
Shoalhaven Water IoT filling station
Project Summary
Data Stream Dynamics has been tendered to develop a new bulk water filling station for Shoalhaven Water (SW). The new bulk filling station is intended to improve the security and monitoring of water assets in the region using RFID user identification and LoRaWAN to stream usage and diagnostic data to an online database.
Group Members
- Michael Steriovski
- Alexander Mckenzie-Hicks
- Joel Paton
- Rebekah WK Yongqi Du
- Eric Hills
- James Barton
Industry Sponsored
Shoalhaven Water
Project Name
Remote planetary Ball Mill sensor device
Project Summary
The project objectives are to measure, transmit wirelessly and record the temperature and pressure values inside a planetary ball mill while the mechanical alloying process is occurring.
Group Members
- Dylan Oxenbridge
- Adam Rodwell
- Liam Baxter
- Joshua D'Souza
- Carrin Goosen
- Benjamin Kawalewski
Industry Sponsored
N/A
Project Name
Hydroponics
Project Summary
The Graygarden is being developed as an automated hydroponics system capable of harvesting and planting edible plants for an optimal growing cycle. It is aiming to provide a simplified growing process for users by being able to monitor growing conditions and harvest at an optimal time. The harvesting of a plant from a hydroponics system is a unique and competitive advantage that our design has that will bring new efficiency and automation to the horticultural industry.
Group Members
- Dylan Pitt
- Jarryd Bedford
- Matthew Milone
- Tajnubal Hoque
- Harrison Handicott
- Liam Penklis
Industry Sponsored
N/A
Project Name
Soft rehabilitation Exosuit
Project Summary
SmoothStrides soft robotic rehabilitation exoskeleton to increase the effectiveness and accessibility of physical gait training for patients with impaired lower limb motor control. The exoskeleton will support the right leg through the gait cycle after fitting a soft ankle brace to the user, to which a Bowden cable is attached. An upward force is exerted upon the leg during the toe-off and initial swing phases by driving a stepper motor located at the lower back to shorten the length of the Bowden cable. A gyroscope will be used to identify the point at which to apply the upward force, interfaced with an Arduino microcontroller. This will send a signal to the stepper motor and driver controlled by a closed PID loop with encoder feedback. A Bluetooth module will be used to interface with the user and the complete system is battery powered.
Group Members
- Lucy Cliff
- William Lesslie
- Luka Lakic
- Dylan Desborough Cardwell
- Jackson Cunningham
- Alexander Dunn
Industry Sponsored
N/A
Project Name
Classroom climate monitoring
Project Summary
The KlassM8 is being developed to simultaneously interest students about the STEM field and to create a functional classroom monitor. The latter objective is aligned with our sponsoring charity AustSTEM and its charitable goals. Classroom monitors will monitor indoor safety by analysing data from sensors and present observations for student-learning optimization.
Group Members
- Gengliang Pei
- Harvir Dhami
- Ebin John
- Angus Garin
- Josiah Adonis
- Wai Chan
- Steven Celi
Industry Sponsored
AustSTEM
Project Name
Kookaberry Smart cyclist and pedestrian detection
Project Summary
The objective of PACR is to provide legacy vehicles with smart sensing technology for improved road safety. Specifically, it implements a convolutional neural network to analyse a live camera feed and alert the driver of potential road hazards.
Group Members
- Jiongcheng Lu
- Deepti Bakshi
- Jintong He
- Callum Davies
- Zhongyu Wang
- Lachlan Cocca
Industry Sponsored
AustSTEM
Project Name
Ladle car condition monitoring system
Project Summary
The Ladle Cart Monitoring System (LCMS) is being developed to provide Bluescope Steel with a way to assess the condition of torpedo mouths and provide alerts when necessary. Using edge detection, constant video footage and GPS data the system determines the condition of the torpedo mouth and what torpedo is being assessed.
Group Members
- Yilun Zhang
- Yechen Wang
- Alex Organ Caldwell
- Logan Bolton
- Clancy Duncan
- Gorgees Gorgees
- Callum Peattie
Industry Sponsored
Bluescope
Project Name
The Kookaberry Rover Physical
Project Summary
The Kookaberry Rover aims at assisting STEM students in developing their understanding of programming by promoting interaction between theoretical code with a physical rover that completes a task based on their inputs. The Kookaberry Rover will be able to navigate a maze-like structure, marking checkpoints flagged with RFID tags which will be recorded onto the Kookaberry onboard and to the remote ‘controller’ Kookaberry piloted by the student allowing them to gain an understanding of the processes of programming
Group Members
- Ethan Miles
- Keval Patel
- Deuni Perera
- Thomas Wrightson
- Alan Napaki
- Heping Wang
- Daniel Harman
Industry Sponsored
AustSTEM
Project Name
Fatigue assessment using wearable sensors
Project Summary
This smart helmet system for motion detection will use the gyroscope and accelerometer components (LSM6DS3) integrated within the Arduino nano 33 IOT to collect raw data during the wearer's motion. The data is transmitted to an Android application through the HC-05 Bluetooth module, and the Android program will categorises the transmitted data based off previous trial and error testing, and ultimately intuitively display the data to the viewer. The application will track the motion of the wearers and if detected the program will display details surrounding the potentially dangerous head knock such as: the time of incident and its associated risk.
Group Members
- Samuel Parker
- Rohan Sameer Alam
- Mason Ambrose
- Jiafu Hao
- Junsheng Fan
- Stacey Marantos
- Nasser Alkaabi
Industry Sponsored
N/A