NYP leads all polytechnics with the most awards since 2017!
Since the launch of the Lee Hsien Loong Interactive Digital Media (LHL-IDM) Awards, 11 of our students' projects have been recognised for their outstanding contributions.
These innovative projects exemplify excellence in leveraging technology to enhance citizens' lives, create opportunities, and strengthen communities.
AwareNurse Wonderland (2024)
Looi Jun Yang, Diploma in Game Development & Technology
Liv Lim Jia Wei, Angelyn Boonlertsap, Ting Tze Chin Rena, Diploma in Digital Game Art & Design
Developed by NYP students in collaboration with nurses from KK Women's and Children's Hospital (KKH), this educational game effectively refreshes knowledge of KKH-specific procedures while fostering engagement, skill retention, and practical application. By emphasising practical application, it equips nurses with the essential skills needed to excel in real-world healthcare settings. This collaborative effort not only enhances learning but also strengthens the connection between education and professional practice.
This game has been incorporated into KKH's orientation for final-year nursing students and has received positive feedback.
GaitVision (2024)
Worajak Tangcharoen, Leo Zuo Yuan, Goh Jun Hao
Diploma in Biomedical Engineering
GaitVision is an AI-based system designed to prevent falls in healthcare settings. Utilising pose estimation technology integrated with CCTVs, it monitors and analyses patient gait in real-time, identifying potential fall risks and alerting medical staff promptly. This approach eliminates the need for wearable sensors, thereby enhancing patient safety and comfort.
The team is also exploring opportunities to expand GaitVision's applications to benefit the larger community.
SignVision (2023)
Muhammad Nasrullah Bin Nazaruddin, Diploma in Applied AI & Analytics
Muhammad Iannuzzy Bin Izzam, Diploma in Robotics & Mechatronics
SignVision is an AI-powered web application that effectively bridges the communication gap between the deaf and hearing communities. Using advanced technologies such as OpenCV and MediaPipe, SignVision accurately recognises sign language gestures and converts them into the spoken language in real-time. Accessible on both mobile devices and PCs, it provides a convenient and intuitive platform for communication, promoting inclusivity and understanding.
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