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NTU EEE Students placed in top 12 teams for Microsoft Imagine Cup 2019 Asia Regional Finals

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(left: Wong Liping, right: Neo Kai Wen Elaine​)


NTU EEE Students Neo Kai Wen Elaine and Wong Liping participated in the Microsoft Imagine Cup 2019 Asia Regional Finals held at Sydney, Australia on 12 February 2019.

Out of hundreds of teams from 17 countries that submitted projects for the chance to compete in the Asia Regional Finals, NTU/EEE team comprising Li Ping and Elaine is one of the top 12 teams (and the only team representing Singapore) that is selected to actually compete in the Asia Regional Finals.

What was your team's idea/plan/concept and provide short description about the idea/plan/concept?
Individuals with physical impairments who require the use of wheelchairs face an enormous challenge in navigation as they have to look for alternative routes to avoid obstacles such as high kerbs, steps or uneven surfaces. Additionally, there is a lack of ready information about wheelchair-accessible routes and routes suggested by most existing wayfinding applications do not take physical disability into account.
This motivates us to develop an application, InclusiveAR, which features Augmented Reality (AR) wayfinding for wheelchair users. It leverages on crowdsourcing to pool information about wheelchair-accessible routes and provides real-time visual guidance in real-time.

Which other contestants' concept were you impressed by?
We were most impressed by Team Caeli’s concept of a smart automated anti-pollution and drug delivery mask specifically designed for asthmatic and chronic respiratory patients. It uses Azure Machine Learning to improve the quality of life for respiratory patients living in polluted areas.

Who were the winning teams(1st and 2nd place) and what was their concept? (one liner is sufficient to descript the winning team concept)
Team Caeli, India, won top honors for their automated anti-pollution and drug delivery mask which utilizes Azure Machine Learning to improve quality of life for respiratory patients living in polluted areas.
Team RailinNova, China, came in as the first runner-up for their Rail Component Inspection Robot which operates through automatic positioning using AI and IoT, and identifies various railroad defects through multi-sensor fusion in order to replace the number of workers needed in a rail inspection project.

What did you learn from this experience?
We were able to witness various interesting projects from all over the Asia-Pacific region. The application of different technologies on different use-cases was interesting and enriching. On top of that, presenting in front of professional judges has trained us into becoming more adept at public speaking and persuasion

How did your education in EEE help?
The versatile education that EEE has provided set the foundation of developing a mobile application. The basics of programming, database and software engineering were particularly useful.

What guidance did you get from faculty, if any?
Dr Wesley Tan Chee Wah and Dr Seow Chee Kiat have been immensely supportive and encouraging throughout the year. Their constant feedback and valuable suggestions have allowed progressive improvements to be made to the project.

 
 



Published on 7 Jun 2019​

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