Welcome to SP's 2025 Open House (SPOH 2025) website! Dive into our exciting new features and content on the Courses and Admissions pages. See you at SPOH 2025!
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.
TEAM MEMBERS: Zhong Xiaorou | Kam Wei Yi | Amelia Lee Jing Wen
COURSE: Diploma in Civil Engineering
SCHOOL: Architecture & the Built Environment
INDUSTRY PARTNER: Building and Construction Authority
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. The project's students were involved in planning and executing the event which was held in hybrid format - physical execution + live streaming to virtual audiences + event video live feed – which involved event technologies and digital production.
Students working on live streaming settings
Students preparing the live streaming broadcasting
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.
"Is that a bug?" - Students debugging their application.
"Show them the power of AI!" - Students discussing the aesthetics of the application.
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.
A interactive app to challenge an AI to identify vulnerability in codes.
NeuralSentry - Using large language model for source code bug finding.
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.
Students working on their programming code through gameplay
Students inspecting the machined part on CMM using the automated inspection program
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.
Students working on the Train Cab Simulator
Learners can experience high-degree of immersion of different fault scenarios
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:
Realistic Hangar Environment
In-Depth Modules Covering Air Marshalling Techniques
Tutorial and Assessment Modes for Customized Learning
VR Technology Utilization with RSAF Aircraft and Rotorcraft
Gesture Recognition technology using BNG framework
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.
Virtual Reality Aircraft Marshalling Simulator (VRAMS) in action
Allows learners to experience high-degree of immersion of different fault scenarios.
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: Step into a world of immersive VR where carnival-themed exercises enhance user’s upper limb mobility and cognitive ability. Leap Motion controllers let the user control the VR world with his hands.
Virtual Assessment with Leap Motion: Leap Motion controllers in VR-based box-and-block assessments allow users to manipulate blocks with their hands instead of a handheld sensor, offering precise control and feedback as their performance parameters and physiological parameters are automatically recorded for physiotherapist evaluation - all from the comfort of their own homes.
Gesture-Based Communication Platform: This platform revolutionizes communication for the hearing-impaired and underwater professionals, such as divers.
Students testing their Virtual Reality, Sign Language and Physiological Parameter Systems
Setup view of Virtual Reality, Sign Language and Physiological Parameter Acquistion Systems
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.
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.
Video analytics to ensure PPE compliance for monitoring and ensuring workplace safety.
Instant alert upon PPE non-compliance detection to prevent accidents and protect workers.
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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
