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TECH OFFERS

Discover new technologies by our partners

Leveraging our wide network of partners, we have curated numerous enabling technologies available for licensing and commercialisation across different industries and domains. Enterprises interested in these technology offers and collaborating with partners of complementary technological capabilities can reach out for co-innovation opportunities.

Equol Formulation for Skin and Hair Cosmetics Applications
Many botanical extracts, such as polyphenols and keto-carotenoid, are commonly used in cosmetics for their anti-oxidant, growth factor, skin lightening, extracellular matrix support, UV-protective and anti-inflammatory or anti-ageing properties.  An American University has discovered that Equol, an isoflavonoid molecule, has many skin anti-aging properties. Positive effects on the skin include reduced inflammation and ageing genes, a reduction of fine and medium lines and wrinkles, as well as a more youthful appearance of skin. For hair, Equol has shown promise in treating baldness by retaining and growing hair. This botanical active has been registered with the Personal Care Products Council (PCPC) for over 9 years and is known for uses in topical cosmetics and oral supplements.  The proprietary Equol technology, consisting of topical and oral, cosmetic and hair formulations, is protected by patents for topical and oral cosmetic applications. 
Low-latency Digital Twin for Industrial Applications
In this modern age of data, many systems and Internet-of-Things (IoT) information sources are independent and scattered, resulting in the increased complexity of processing heterogeneous data for visualisation purposes. Digital twins can help to mirror their physical, real-world equivalents in three-dimensional (3D) space to improve spatial perception and are ideally suited for high-risk environments that are physically inaccessible by humans. In such cases, IoT sensors are put in place to support real-time remote fault identification, operation, training, maintenance, and synchronise with various types of management dashboards to facilitate decision-making processes. This technology offer is a one-stop platform that empowers enterprises to create digital twins (or a one-to-one reproduction of physical real-world objects/building/machinery) - where next-generation spatial hardware e.g. Augmented Reality/Virtual Reality (AR/VR) headsets or smart glasses can be used to interact with contextual, real-time information in a fully rendered 3D environment that blends the digital information (sensor data and digital mapping) and physical (real-world) layers for a range of industrial applications including continuous monitoring and predictive maintenance.  The technology owner is keen to collaborate with companies in the Port, Manufacturing, and Property (facility management, building management, energy management, security management) industries for test-bedding of existing use-cases on a project basis, leading up to product R&D collaboration and eventually licensing.
Universal Hardware and Platform for Real-time Data Analysis
Real-time manufacturing data can help to predict the condition of production machines and peripheral equipment. However, not every machine has the system to collect and analyse the condition of a machine. Furthermore, it is hard to gain data from non-networked devices, especially from old ones, as well as to integrate different types of manufacturing equipment. This technology offer is a SaaS and hardware solution for real-time data collection and analysis. The modular hardware provides an interface for communication channels and protocols of all industrial equipment. Hence, it makes every type of new or old production and peripheral equipment integrable. Upon the data collection from the universal hardware, the platform will analyse the data using deep-learning algorithm, generating detailed production information. The technology owner is keen to out-license its solution and looking for collaboration with partners in plastics manufacturing (especially for injection moulding), textile industry, and IHLs for further applications. 
Gamified Data Annotation Platform for Supervised Machine Learning
Machine Learning (ML) is a sub-field of Artificial Intelligence (AI) where a machine is able to learn without being explicitly programmed. However, before a machine can effectively perform even the simplest AI tasks, e.g. differentiating between images containing an elephant or a tiger, it has to be trained on images containing both animals. To be useful in supervised learning, training data needs to be properly labelled or annotated by a human for the machine to extract the relevant features and produce an ML model that serves its intended purpose. This highlights the important role that data annotation plays in producing robust, accurate ML algorithms in video analytics, natural language processing, and audio processing. However, many organisations that want to embark on their supervised learning journey often face difficulties gaining access to high-quality labelled datasets, known as ground truth data, due to the abundance of low-quality, expensive and unstructured data. This technology offer is a mobile application-based data platform that enables companies to obtain high-quality annotated data. It de-centralises data collection and data annotation tasks into manageable bite-sized chunks for optimal annotation performance and crowd/out-sources the annotation task to a pool of data taggers via a mobile application. Labelling quality is established through a gamification system and a series of built-in verification procedures, including AI-assisted pre-filtering and collective human quality control.
3D Vision for Autonomous Robots & Industry 4.0
With the breakthrough in 3D vision-based localisation technologies under GPS-incapable environment and expertise in sensor fusion, this technology offer presents promising sensing solution for advanced robotics and automation in Industry 4.0. This solution is built upon the proprietary vision-based sensor with edge computing capabilities, providing best calibration algorithm and controls with the deployment of the multiple sensor technology. The sensing technology enables robots to: Navigate under GPS-incapable environment, across indoors and outdoors spaces Vision-based self-localisation and moving object tracking Object identification and volumetric measurements in 3D For Industry 4.0, these are the areas can be supported: 3D visual data acquisition and simple onboard processing, translating only required information to the main processing board Smart CCTV monitoring & image / object identification Depth perception and measurements for logistics The technology owner is currently looking for operators that would like to transform their business operations, through the use of autonomous robots, and also to achieve the best effects of encapsulating a whole visual monitoring system to optimise their business operations on the ground. Besides, the technology owner is also looking to work with system integrators (eg. Robot makers) to adopt and integrate the technology. The system is fully customizable and configurable based on user’s requirements.
Power Rail Health Monitoring of MRT Train Lines
This technology offer is a patented radio frequency (RF) inductive coupling technology that measures the quality of electrical contact between moving parts. By integrating this technology with a Mass Rapid Transit (MRT) train, the moving train doubles up as an inspection vehicle that monitors the condition of the power rail of the MRT network in real-time. It detects early signs of power rail defects for preventive measures before the defects deteriorate further and lead to unexpected MRT service interruptions. The potential users are MRT line operators and train manufacturers. The hardware system has been developed and tested on MRT lines, and the technology is available for co-development with technology partners who are strong in data analytics to develop an efficient defect classification algorithm.
LEDs for Enabling Wireless Communications and Internet-of-Things
There has been an increasing interest in LED communications, or Light Fidelity (Li-Fi), for secure, wireless communications. Light Emitting Diodes (LEDs) are ubiquitous in our environment and can be used for communications, besides illumination. Data is transmitted by switching the LEDs on and off so rapidly that the eye cannot detect the switching. This opens up a wide range of unused, unregulated spectrum in the visible to infrared wavelengths, which can help address the communications bandwidth crunch. Li-Fi can be used in areas where RF signals cannot be received due to interference or restriction. The highly secure beam can protect sensitive data from cyberattacks. This technology offer is a system for Li-Fi communications, including optical transceivers and dual purpose LEDs for detection and emission. By alternating between positive and reverse bias, a single LED chip can function as emitter and detector. This can reduce the footprint of the optical transceiver for miniature integration in laptop and handphone. The development team has also developed LED communication prototypes for real-time monitoring of sensor readings over a long range of more than 70m and for real-time streaming of high-definition video streaming with low latency. Some application areas include underwater communications, hospitals, military and underground tunnels. The development team is looking for potential end-users of technology and collaboration in technology development.
Watermarking Neural Network Models for Proof-of-Ownership
Due to the high resource costs (data, computational power) associated with the creation of trained neural network models and the widespread application of deep learning in a plethora of sectors/industries, ranging from mobile apps to autonomous driving, trained models are often viewed as Intellectual Property (IP) of the entity that created them. Hence, it is increasingly critical for stakeholders to mark their ownership and protect their models against potential IP infringement. One way to claim ownership is through conventional digital watermarking, however, this technique is susceptible to model extraction attacks and while watermarking a model does not prevent theft, it enables legitimate owners to verify their ownership over stolen assets. This technology offer is a robust watermarking mechanism that protects the ownership of a high-performance neural network model to the entity that has invested resources to facilitate its training and performance tuning. It turns well-known defects of neural networks into a mechanism for verifiable proof of ownership, whenever required. In this instance, backdoors, which are inserted during a model's training phase to intentionally generate erroneous outputs, and adversarial samples (specifically structured perturbations that are entirely unobservable by the human eye), which are able to fool well-trained and high-performing models into misclassifying input data, are used.
Non-Invasive Industrial Monitoring Using Acoustics AI
Sounds in industries can indicate and even forewarn various critical events, from changes in the processes to developing machine issues. Combining AI, acoustic sensors, and digital signal processing this system aims to detect and predict issues in industries. With this approach it is able to non-invasively convert assets into smart assets with minimal risk and friction. With applications ranging from fault detection and predictive maintenance to more niche needs such as cavitation or fouling detection, the AI can be customized to adapt to the particular facilities’ needs.