This video showcase a project by RSE Year 2 students, where they have developed the prototype for an alternating air mattress for bed sore preventation with pressure data feedback for prompt adjustments to improve quality of care.
This video showcase a project by RSE Year 2 students, where they have developed the prototype for a mobile robot which can detect stray chairs in a library and guide them into the proper locations near a desk.
This video showcases the design and development of an effective coachscrew patrolling tool for inspecting coachscrews quickly and safely. This tool won the SMRT Most Innovative Kaizen Project Awards 2023.
This video showcase a project by RSE Year 2 students, where they have developed the prototype for a sustainable autonomous solar panel cleaning system.
SIT NAME students participated in the European International Submarine Race in Gosport, UK. This event was hosted by IMarEST and QinetiQ and saw 11 teams from Canada, USA, UK, Taiwan and Germany compete against one another. In our maiden attempt, the students clinched 4th place, showcasing Singapore's engineering prowness on the global stage.
SIT alumni and faculty conducted laboratory tests on reusable water bottles provided by volunteers to analyse their microbial communities, featured in CNA's Talking Point.
The Intelligent Bike Lock aims to eliminate bicycle-related safety and security issues through an all-in-one security device system by implementing RFID functionality, wireless communication, and an environmental luminosity sensor.
In this project, we are collaborating with Credit counselling Singapore (CCS) to develop an early warning system for default clients to help CCS act promptly and ultimately build financial resilience for individuals and community. SIT students had an opportunity to experience on how credit risk management with utilization of data analytics, is being carried out in the industry.
A flexible and versatile hexapod robot with the capacity to move effectively and adjust to different types of terrains to support data collection and search and rescue missions in challenging terrain.
The project looked at improvement to a firm’s credit risk machine learning model to enhance the accuracy of a borrowers’ probability of default prediction, which benefited overall community financial resilience and shaped industry practices in credit modelling.
This project addresses the impacts of noise pollution by airports, and discuss in particular, the impact on health, well-being and annoyance. it was done to understand the various impacts of noise pollution, the airport noise abatement measures, and the regulation regarding noise emissions. Responses from different countries have been considered and regression analysis using statistical tools was conducted to test the hypothesis.
Person with reduced mobility (PRMs) are an often-overlooked segment of the travelling public. This project seeks to redress this imbalance by giving a voice to PRMs through surveys and focus group discussions. The insights and feedback shared by the PRMs to the students have helped shed new light on this little studied area.