Student innovators pitch industry leaders at ANU technology showcase
A platform for virtual stargazing, a system for wildlife tracking, a tool for farmland management, and a scheduling app for service providers took centre stage at The Australian National University (ANU) technology showcase on 25 May, hosted by the Canberra Innovation Network.
The showcase was a part of the TechLauncher initiative, which aims to connect students with real clients to bring great ideas to life. More than 300 students participated on 38 teams.
The Semester 1 2021 showcase involved 95 in-person attendees and 136 remote participants from 10 countries.
Meet the four student teams who were nominated by their conveners, tutors and clients to present their innovative work.
The prize for ‘best pitch’ went to Chia-Fu Hsu, Tim James, Siqi Ran, Jianan Wu, and Lan Xue for their design of a virtual reality (VR) telescope and observatory. Using a VR headset and joystick controls, users can operate the Dynamic REd All-sky Monitoring Survey (DREAMS) telescope at the Siding Springs Observatory in New South Wales.
The DREAMS team employed 3D modeling software to recreate the telescope building and surrounding landscape using photographs and satellite images.
“Users can operate the telescope, view the projected view from the telescope, control the roof, adjust the time of day, and learn facts about the telescope provided by the RSAA [Research School of Astronomy and Astrophysics],” said Hsu.
James said he expects the virtual telescope to be used by educational intuitions, researchers, engineers and members of the public who are interested in astronomy. “It’s very portable, it’s going to really enable us to take the project to outreach events,” he said.
From left to right: ANU students Chia-Fu Hsu, Jianan Wu, and Tim James from the DREAMS team who received best pitch at the Semester 1 2021 TechLauncher showcase.
WOMSAT - ACT Wildlife
The WOMSAT - ACT Wildlife team was selected to pitch their system for tracking animals after treatment at ACT Wildlife. The team’s members were Lewis Barr, Damian Camilleri, Harrison English, Joseph Fergusson, Sam Reading-Thompson, Finn Reid, and Rawson Wade.
The current system for monitoring released animals involves bringing laptops into the wild to download information from microchip scanners embedded in animal dens. Students designed a user-friendly interface for reading data automatically uploaded to the cloud. The hardware is powered by solar panels rather than batteries that require replacement. The team also envisions a method for triangulating the position of animals when they are not near microchip scanners.
The student presenters said they hope their system will help validate the work that volunteers put in to nurture injured and orphaned wildlife, and that movement data can be used to track and select animal release sites.
Joseph Fergusson and Damian Camilleri pitch the WOMSAT - ACT Wildlife team's animal tracking system, which optimises data collection on microchipped animals released into the wild after treatment.
The Civilise.ai team presented a land-management tool that ‘makes regenerative agriculture accessible all farmers and landowners’ by offering advice on how to preserve fertile land and revitalise degraded land. The technology utilises interactive 3D topography models, fluid simulations, and artificial intelligence to achieve better crop yields and commercial outputs.
Civilise.ai members includes Jasper Lang, Clinton Vidler, Christopher Gregory Edward Bradley, Ammar Manazir, Stavros Dimos, Clifford Wang, and Ashok Chakravarthy Nara.
Lang said during the team’s pitch that current farming practices can have “a negative impact on quality of soil, accelerating erosion, and damaging ecosystems”. Farming is also “a major source greenhouse gas emissions”. The new technology provides detailed plans how best to minimise erosion, minimise water runoff, and find the best places for paddocks and roads. It also estimates costs for grading, trees, fencing and even potential carbon credits.
Ammar Manazir and Jasper Lang present for Civilise.ai, which designed a farmland management tool that uses 3D topography models, fluid simulations, and artificial intelligence to achieve better crop yields and commercial outputs.
The Jemma team designed an automated scheduling system for trade workers and customers, providing access to service providers, along with their qualifications and availability. Users will be able to book service at any hour of the day, not just during business hours. And there is a notification system to help users track progress of the work they have contracted.
Rohan Komalla and Zheyuan Xu presented for the Jemma student team, which also included Amandeep Singh, Yuhui Wang, Jiajia Hong, Jiaqi Zhang, and Kalaiarasan Somasundaram.
Zheyun Xu and Rohan Komalla pitch the Jemma team's automated scheduling system for trade workers and customers. The application includes a secure payment system and a notification system to help customers track the progress of work they have contracted.
ANU TechLauncher runs throughout the year and will be seeking nominations and callouts for projects in June 2021 for Semester 2.