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Students testing their Virtual Reality, Sign Language and Physiological Parameter Systems
Setup view of Virtual Reality, Sign Language and Physiological Parameter Acquistion Systems
SP Industry & Innovation (SPI&I)
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BCA recently encouraged projects to use Granite Fines (GF) as an alternative to natural sand for concrete production. GF is a by-product generated from crushing/mining granite aggregates, which makes it more environmentally sustainable and acceptable compared to natural sand. With the anticipated increase in the adoption of GF, there is a need to study if the possibility of stockpiling GF is appropriate. There are concerns in stockpiling GF due to the perception that GF, being light, can be easily blown away by wind. This project studies the loss of GF due to wind conditions via Computational Fluid Dynamics (CFD) numerical simulation.
 This an annual signature event led by the Tourism SCT (Joint Poly-ITE) to raise tourism job profiles, highlight new job demands arising from technological disruptions and ceate a platform for tourism partners to engage potential talents.
SUPERVISOR: Chin Jenn Keng TEAM MEMBERS: Hannah Ong | Karann Chong | Lee Hui Yan | Chua Wei Ru | Kelly Kung COURSE: Diploma in Integrated Events and Project Management SCHOOL: Architecture & the Built Environment
Quizmefy, an AI-driven quiz platform, redefines learning with personalized quizzes on any topic, including niche subjects. Offering versatile game modes and AI-driven question generation from custom PDF uploads, Quizmefy caters to diverse learning styles. Multiplayer challenges add a competitive edge, making education effective and enjoyable, positioning Quizmefy as a dynamic learning companion.
SUPERVISOR: Jeremiah Ang TEAM MEMBERS: Elliott Chong | Elston Tan | Kaung Sithu Hlaing | Timothy Chia COURSE: Diploma in Applied AI & Analytics | Diploma in Information Technology SCHOOL: Computing
This project studies the performance of Large Language Models for curating datasets of vulnerable functions by classifying vulnerability-fixing commits. It assesses Large Language Models trained on these curated datasets for Vulnerability Detection. This provides empirical evidence to demonstrate the effectiveness of Large Language Models. Through qualitative analysis, the team showed that Large Language Models can automatically curate accurate, diverse, and large datasets of vulnerable functions. The work done by the team can be used to streamline Vulnerability Detection research efforts and significantly reduce time spent on laborious labelling tasks.
SUPERVISOR: Calvin Siak TEAM MEMBERS: Isaac Choong Zhu En | Tay Kai Zer | Aldrich Tan Kai Rong | Edison Chan Whye Kit | Sng Kai En Ryan COURSE: Diploma in Cybersecurity & Digital Forensics SCHOOL: Computing INDUSTRY PARTNER: DSO National Laboratories
Station operation staff are responsible for the management of crowds during peak hours and/or during service degradation. Hence, staff competency in carrying out first-line recovery of systems such as Platform Screen Door (PSD) is critical. However, conducting practical training for such faults is only possible during engineering hours (i.e 01:30am~04:30am), resulting in time/training resources constraints.
SUPERVISOR: Nicholas Huang TEAM MEMBERS: Abu Hurrairah Bin Abu Hussin | Azman Bin Mahammad |Jaafar Siddiq Bin Muhammad Bahauddin COURSE: Diploma in Mechanical Engineering SCHOOL: Mechanical & Aeronautical Engineering INDUSTRY PARTNER: SMRT Institute
This project aims to design and develop software and hardware for a Train Driving Simulator which is cost-effective, portable, and capable of reproducing with high degree of immersion of normal and abnormal scenarios to maintain drivers' competency in handling train faults. One such scenario is recreating an 8-car train rescue procedure to familiarise and train staff on its operations.
SUPERVISOR: Sufyan Zainalabidin TEAM MEMBERS: Qusyairie Najmi Bin Mohammad Hazlie | Ryan Tay Jie Cheng | Danish Bin Ahram COURSE: Diploma in Mechanical Engineering SCHOOL: Mechanical & Aeronautical Engineering INDUSTRY PARTNER: SMRT Corporation
A Virtual Reality (VR) Training Simulator for aspiring air marshallers. This immersive training experience takes users through the intricate world of aircraft marshalling within a virtual Military Aircraft Hangar, providing a comprehensive platform to master essential gestures and procedures. Key features:
Teamwork and Continuous Improvement: Collaborative efforts with the RSAF have harnessed the power of virtual reality, emphasizing teamwork and continuous improvement, helping to overcome challenges to provide a refined user experience.
SUPERVISOR: Chua Ming Sing TEAM MEMBERS: Tenzin Tsundu | Gui Shao Yu Javier | Dominic Yew Meng Yi COURSE: Diploma in Aeronautical Engineering SCHOOL: Mechanical & Aeronautical Engineering INDUSTRY PARTNER: The Republic of Singapore Air Force
Three Innovations, One Vision: VR Rehabilitation Carnival: Virtual Assessment with Leap Motion: Gesture-Based Communication Platform:
SUPERVISORS: Arun Kumar | Jaichandar K S | M Fikret Ercan | Wang Wei TEAM MEMBERS: Antony Joseph Abigail Shreya | Brian Lee Ying Hao | Eileen Teoh Yan Zhen | Javier Lee | Lim Kai Wen Cavan | Looi Zhi Qing | Muthurathinam Ganapathirajan | Ramasamy Venkidupathi Santhosh |Yak Ren Xiang | Zhang Zihan COURSE: Diploma in Electrical & Electronic Engineering | Diploma in Engineering with Business SCHOOL: Electrical & Electronic Engineering
This project involves engineering a V2X platform at SP Smart Campus using DSRC and Cellular-V2X tech to redefine sustainable, smart mobility. The focus spans V2X wireless connectivity, 5G, AI, data analytics, IoT, and intelligent Electric Vehicle (EV) charging (V2G and V2H). In line with Smart Mobility 2030, the aim was to implement 5G-AIoT prototypes and smart EV charging solutions using V2X technologies. Safety gets a tech boost too, as V2V communication expands drivers' visibility range, enhancing road safety and response times. Plus, the LoRaWAN-enabled sensors guide EV owners to available charging lots with pinpoint precision. It's a transformative project for smarter, safer, and more sustainable transport.
SUPERVISORS: Phyoe Kyaw Kyaw | Ang Teck Sing | Boey Kai Ming | David Hee | Goh Say Seng | Phang Piao Chun | Tee Taoyi | Low Yu Shun TEAM MEMBERS: Choi Song Yang Daniel | Daniel Ang Xin Ern | Hamzah Bin Zareen | Hu Yuchen | Kee Wei Feng | Keanne Nistelroy Almonte Imatong | Owen Lim | Pranav Gopalakrishnan Kumaresan | Roy Tan Chun Hong | Wilfred Lan Han Wei | Yin Ruilong COURSE: Diploma in Aerospace Electronics |Diploma in Computer Engineering | Diploma in Electrical & Electronic Engineering |Diploma in Engineering with Business SCHOOL: Electrical & Electronic Engineering INDUSTRY PARTNER: Digital Library Private Limited
In today's fast-paced world, workplace safety is more critical than ever, and this project aims to advance workplace safety through technology. Starting June 2024, companies will have to deploy video surveillance systems at construction sites for projects valued at $5 million or more to enhance worker safety. The project partnered Sembcorp Solar on a Personal Protective Equipment (PPE) detection system using video analytics. Focusing on rooftop workers' safety during solar panel installations, the solution employs advanced cameras and AI algorithms to proactively monitor and ensure PPE compliance. Instant alerts enable swift intervention, preventing accidents and protecting workers.
SUPERVISORS: Tan Chee Seng | Ng Yong Thiang TEAM MEMBERS: Ang Kai Jie | Fong Zhi Lum | Lance Lai Jia Ler COURSE: Diploma in Computer Engineering | Diploma in Engineering with Business SCHOOL: Electrical & Electronic Engineering INDUSTRY PARTNER: Sembcorp Industries Ltd
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