Past Projects – Lean Launchpad Singapore
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Past Projects

ENGINEERING

  • 2019
    LLPSG NUS6
    3D Waves

    NUS, ECE

    Principal Investigator: Prof Guo Yong Xin
    Member Members: Wang Cong, Wang Yumiao, Li Zhaohao

    3D-Waves focuses on providing reliable, durable, and affordable Luneburg Lens products for various communication applications.
    With patented lens technology, our product possesses superior antenna performances in terms of high gain (>20 dBi), broad bandwidth (X-/Ku-/Ka-band), wide scanning range (180°), and flexible polarisation matching ability (Linear/Circular-polarisation).
    Compared to existing products, 3D-Waves’ antenna stands out with its unique advantages of being insensitive to feeding angles, robust against external forces and its low cost. All these merits enable communication devices to provide more stable and long-lasting service in various electrical and working environments.
    Based on the electrical and economical strengths, our product is a promising candidate in 5G communication (base station antennas), automotive vehicles (radar sensor antennas), and WiFi & Indoor connectivity (WiGig). With 3D-Waves, our customers are able to access to the best multi-beam antenna technology with low cost.

  • 2019
    LLPSG NUS6
    AirQ

    SUTD

    Principal Investigators: Assoc Prof Yuen Chau, EPD & Dr Lim Hock Beng
    Team Members: Vishal Choudhary, Anna Toh, Eileen Goh

    Urban air pollution is a major problem in many cities globally. Prolonged exposure to particulate matter in the air is harmful to health. Government agencies and industries use expensive EPA-rated Air Quality Monitoring Systems with specialised and expensive instruments. However, the air quality data provided by agencies is based on delayed averages and is region-based. Thus, a cost-effective solution to provide accurate, real-time, and location-specific air quality data will address a significant gap worldwide.
    The AirQ platform is an innovative and cost-effective solution for air quality and environmental monitoring. The AirQ device is portable, low-cost, and provides real-time and location-specific air quality data. It supports modern wireless data communication technologies including WiFi, 4G, Bluetooth, and LoRa. The real-time air quality data and alerts are provided via the AirQ Dashboard and Smartphone App. The AirQ solution can be used for schools and childcare centres, facilities management, clean rooms, and many other use cases.

  • 2019
    LLPSG NUS6
    Learnified

    SMU

    Founder: Alexander Lim
    Team Members: Chan Kim Koon, Fukai Juzo, Siow Eng Kian, Unni Navneet

    Learnified aims to revolutionise the online tuition industry in Singapore by incorporating AI sensing technology into its platform. The cutting edge technology of AI will be used to determine students’ attentiveness and concentration levels in an online tuition class. Learnified will then provide meaningful feedback and recommendations backed by quantitative data and professional advice to the tutors and parents of the students.
    The tutors benefit by studying the recommendations and implementing better engagement techniques with their students. This will further enable them to improve their rankings among the student and parent community, thereby increasing their earning potential.
    The parents will know in real-time and with the data/recommendations provided after a tuition class, about their children’s focus level in the tuition class. Subsequently, parents will also be able to use the recommendations provided by our team of experts, which will potentially increase their children’s academic performance.

  • 2019
    LLPSG NUS6
    Blue Energy Harvester

    NUS, CA2DM

    Principal Investigator: Asst Prof Slaven Garaj
    Team Member: Dr Massimo Spina

    Recognised since the 1950s, salinity gradient power is a major untapped source of energy arising from mixing salt water with fresh water. It has the potential to meet 10% of global energy needs with the benefit of zero-emissions and 24hrs/day reliability. The core of the technology is a membrane which translates any salinity gradient directly into electrical energy through a process called reverse electrodialysis. However it is not economically viable with currently available polymer-based membranes.
    Our solution is a proprietary graphene-based membrane with far superior performance characteristics enabling higher W/sqm, and thus much lower membrane areas than current polymer-based solutions, enabling systems which require less space, with lower cost and easier maintenance. Blue Energy Harvester (B.E.H.) membrane technology can make salinity gradient power economically viable and price-competitive with more established renewable energy technologies like wind, but with the reliability of fossil fuel plants.

  • 2019
    LLPSG NUS6
    Ginome

    NUS, CEE

    Principal Investigator: Assoc Prof Karina, Gin Yew-Hoong
    Team Members: Dr Te Shu Harn, Dr Kok Wai Kit Jerome, Li Han

    Globally, aquaculture fish farms are an important source of food. However, pollution and climate change have increased bacterial infection and red tide events, leading to massive and sudden fish-kill events. Early warning systems can reduce such losses, but existing methods are either too slow or too cumbersome to implement.
    Our solution automates the analysis and interpretation of results within a single, enclosed device. This approach reduces contamination while ensuring high sensitivity, accuracy, and repeatability of results. This DNA-based portable device can simultaneously detect different microbial species, providing convenient and real-time detection capability without the need for a laboratory set-up or for laboratory-trained personnel.
    Our technology can be used in two ways:
    (1) Detection of bacterial infection allows for swift removal of affected fish, preventing the spread of diseases
    (2) Detection of toxic, bloom-forming species allows for early warning systems that increase the time of response, and greatly reduce fish losses.

  • 2019
    LLPSG NUS6
    VR4DR

    Yale-NUS College

    Principal Investigator: Prof Brian G McAdoo
    Team Members: Tom White, Andrew Kwan, Abhaya Gauchan

    VR4DR combines user-generated VR/360/AV content with dynamic 3D maps to create immersive and interactive Virtual Reality World that can be explored and interrogated using a game engine interface.
    As the use of drones, 360 degree photography and VR become increasingly accessible, content creators will be able to liberate their material from their phones and generic social media platforms. The VR4DR platform allows users to create immersive digital stories in a VR environment with computer enhanced 3D models accessible from any computer, mobile device or VR headset connected to the Internet. Interactive exploration of the VR World generates empathetic connections between content creators and audiences who will then make an emotional investment in the material.