TECH OFFERS

Keratins are naturally occurring proteins found in hair, feathers, wool and other external protective tissues of animals. They are highly abundant, naturally produced and generally underutilized. At the same time, keratins offer versatile chemical properties that allow interactions with themselves or with other materials to improve behaviour. The technology provider has developed sustainable, biodegradable plastic materials by upcycling keratins derived from hair and feathers. In the preliminary studies, the technology provider has found ways to produce films that have the potential to be used as packaging materials. These films do not disintegrate readily in water, yet they fully degrade in soil within a week. They can be made in combination with other waste-derived biopolymers to improve strength to meet the needs of specific use cases. This technology is available for R&D collaboration, IP licensing, or IP acquisition, with industrial partners who are looking for a green packaging solution and to explore specific-use-case products. The technology provider is also interested to collaborate with the OEM partners having the keratin extraction facility from feathers and hair for the deployment of this technology. Nature-derived material from waste streams (agricultural, livestock and human hair) Tunable strength, ~60% strength of PE film Stable in water over 3 weeks (hydrostability) Fully degraded in soil within 7 days at room temperature without the need for industrial facilities  Protein based film. Possibility to incorporate bioactive functionalities into the film Biodegradable packaging material- these films do not disintegrate readily in water, yet they fully degrade in soil within a week Biodegradable composites-  potential to be combined with existing biopolymers such as cellulose to make strong composites for food contacting packaging and utensils Sustainable upcycling of abundant waste streams Fully biodegradable in a short time within a natural environment Possibility to include bioactives This technology is available for R&D collaboration, IP licensing, or IP acquisition, with industrial partners who are looking for a green packaging solution and to explore specific-use-case products. The technology provider is also interested to collaborate with the OEM partners having the keratin extraction facility from feathers and hair for the deployment of this technology. Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Circular Economy

Face anti-spoofing (FAS) has recently drawn increasing demand as one of the critical technologies for reliable and safe authentication systems to prevent fraudulent operations. Traditional FAS approaches become unreliable when more and more realistic presentation techniques emerge.  An artificial object like a photo, video, mask, or other substitute that imitates the unique biological properties of a person is presented to the biometric scanner.  Biological determination technology identifies physical traits as well as social and psychological conditions to determine the authenticity of a unique living person. Liveness detection is defined as biometric detection that can discriminate between the features of live skin and copies of those features in a fraction of a second. However, as every man-made solution can be defeated, efforts to enhance and improve liveness detection always remain a work in progress. This technology offer is an identification method which can prevent spoofing more robustly by providing multiple biological determination processes in an arbitrary order determined by the system. Thus, the probability of correctly guessing a unique pattern for performing biometric determination actions decreases exponentially, preventing the preparation of authentication presentation actions beforehand.    The technology prevents anti-spoofing by engaging the user in a few tasks. The system will instruct the user to follow through with a few sets of biological determination action items. During which the system captures face images at a predetermined frame rate to validate the expected outcome.  The biological determination action includes:  •    Face orientation •    Eye orientation •    Opening and closing state of eyes •    Opening and closing state of mouth •    Wearing and removing of spectacles •    Wearing and removing of masks The system can also include fake object detection by analysing the outer frame of the subject, e.g., photograph's outer frame that is not matching the rest of the background. Two or more biological determination factors can be selected randomly from multiple actions; in pre-defined or random order and validated based on the images captured during the process. In this case, the patterns for performing the actions increase exponentially by adjusting the number, content and execution order. This prevents the users from being able to prepare any artificial mode of authentication material in advance.     This technology offer can be adopted by software/application/system developers providing personal authentication functions, and potentially applied to the following systems:  Applications running on smartphones or computers - eKYC (electronic Know Your Customer)) Entrance control system Digital banking biometric verification (2FA) Social media/gaming/dating profile verification     This technology enables identification service providers the opportunity to further improve countermeasures against identity fraud using biometric liveness detection.  Compared to other anti-spoofing methodologies, this technology may provide more secure countermeasures by a combination of multiple biological determination processes as well as fake determination functions. The technology owner is interested in licensing to software /application developers providing facial authentication functions in various industries, e.g., access control, digital banking, social media profile, etc. anti-spoofing, anti-impersonation, identity verification, biological determination technology, living body Electronics, Sensors & Instrumentation, Infocomm, Security & Privacy, Big Data, Data Analytics, Data Mining & Data Visualisation, Embedded Systems

Mixed plastic waste is an abundant resource containing approximately 7-12 wt.% hydrogen (H2). Traditionally, hydrogen is produced from non-sustainable fossil feedstock, such as natural gas, coal and petroleum oil. This technology offer is a thermo-catalytic process that sustainably recovers hydrogen from plastic waste instead. During hydrogen recovery process, instead of releasing carbon dioxide (CO2) that causes greenhouse gas effect, the technology converts emissions into a form of solid carbon, called carbon nanotubes (CNT). Solid carbon is easier to store and handle compared to the gaseous carbon dioxide. Furthermore, carbon can be sold as an industrial feedstock for manufacturing of polymer composites, batteries, concrete, paints, and coatings. With over 150-190 million tonnes of mixed plastic waste ending up in landfills and our environment annually, the technology offers a sustainable solution for the elimination of plastic waste and decarbonization while providing a clean hydrogen supply. Thermo-catalytic production of hydrogen. The hydrogen gas stream produce contains a purity of 60 – 70 vol% for downstream applications. Further purification can be conveniently achieved by conventional separation technologies, such as membranes and pressure swing adsorption Output of hydrogen can be from 500 – 100 kg to 2500 – 5000 kg/day Mixed and contaminated plastic waste can be used as feedstock (eg. municipal plastic waste, flexible laminate packaging waste, marine plastic litter, sorted polyethylene and propylene waste etc.) Hydrogen recovery from plastic waste is up to 70-150 kg hydrogen from 1 tonne of plastic waste, depending on composition and purity of feedstock The maximum amount of greenhouse emissions that can be captured during hydrogen recovery are 2.5-3.4 tonnes CO2 equivalent per 1 tonne of treated plastic waste (subject to plastic waste composition). Carbon is captured in a solid form (CNT), which is easier to store than gaseous greenhouse gas emissions This technology offer is applicable for industries that are keen to recycle plastic waste or looking for alternative clean generation of hydrogen. The potential applications include: Plastic material reprocessing facilities Waste management companies Hydrogen production companies Sustainable production of hydrogen using plastics Reduction of plastic waste pollution No CO2 generated (carbon captured as CNT) Non-selective feedstock (mixed and contaminated plastics can be used) Hydrogen, Hydrogen recovery, Carbon capture, Storage, Decarbonisation, Plastic waste, Sustainability, Recycling, Energy Energy, Waste-to-Energy, Waste Management & Recycling, Sustainability, Circular Economy, Low Carbon Economy

Pre-combustion, post-combustion and oxyfuel combustion capturing from power plants and other industrial scale companies are the three current carbon dioxide (CO2) capture and separation technologies. Unlike liquid and membrane adsorbents, solid adsorbents have a wider temperature range of adsorption and can be safely disposed in the environment. The use of solid adsorbents in industrial exhaust gases has shown to be a successful method of trapping concentrated CO2 for later storage rather than direct emission to the environment. Recent investigations have identified magnesium oxide based (MgO) solid adsorbents as a potential material for CO2 capture at intermediate temperatures. Furthermore, magnesium (Mg) based minerals are nontoxic, abundant materials which can be prepared in large scale at relatively low cost. Even though MgO has a high theoretical CO2 capture capacity (1100 mg CO2/g sorbent), it underperforms in practical applications due to a limiting number of active CO2 capture sites. MgO reacts with CO2 to create MgCO3 in dry, high-temperature circumstances. The formation of such MgCO3 carbonates obstructs additional carbon lattice transit leads which lowers the total CO2 capture efficiency. This technology offer is an anion doping method of MgO at room temperature to prevent the formation of MgCO3. The novel MgO-Mg(OH)2 composite nanomaterial is formed via electrospinning technology and improves the overall efficiency of MgO as a CO2 capture material. The doping was carried out by electrospinning technology in accordance with thermodynamic and quantum mechanical principles to improve process temperature and dopant/H2O concentrations in MgO-H2O-MgX (X= 2Cl-, SO42-, and 2/3PO43-) ternary systems. These novel composites aim to prevent the formation of MgCO3 to unblock the bulk diffusion of CO2 on MgO sorbents at 30 ℃ under 1 atm, by using anion anion-doped CO2-philic MgO and CO2-phobic Mg(OH)2. This technology can therefore be used as a room temperature CO2 adsorbents for applications such as indoor CO2 monitoring sensors.  This technology can be used for the following applications. CO2 monitoring sensors Room temperature direct air CO2 capture Industrial processes where large-scale carbon capture has been demonstrated Commercial operation including coal gasification, ethanol production, fertilizer production, natural gas processing, refinery hydrogen production and coal-fired power generation Persistent atmospheric concentrations of greenhouse gases have now become a global issue, as they have a wide range of direct and indirect consequences on all living things on the planet. The most well-known result of this phenomenon is global warming, caused mainly by growing atmospheric CO2. CO2 is a major anthropogenic greenhouse gas, and the National Oceanic and Atmospheric Administration of the United States (NOAA) estimated that the average CO2 content in the atmosphere would be roughly 416.87 ppm at the end of December 2021, up from 338.80 ppm in 1980.  As a result, scientists are actively developing solutions to minimize CO2 levels in the atmosphere. The global carbon capture and storage market size was USD 2,784 million in 2021 and is estimated to grow at a CAGR of 13.7% from 2022 to 2030 and reach USD 8,636 million by 2030. The key markets drivers are: The surging investment to develop new capturing facilities The increase in government initiatives to achieve net-zero emission rates in the future This technology addresses the limitation of MgO-based solid adsorbents and has the following advantages: Better carbon capture efficiency Cheaper than current CO2 adsorbent material The technology owner is looking for partners for R&D collaborations especially those who are interested in carbon capture materials such as power plants or CO2 monitoring systems. The owner is also keen to license this technology as well.   carbon capture, sustainability, environmental friendly Sustainability, Low Carbon Economy

Traditionally, companies which deploy various assets in the field have to manually locate them to either service them, or just to find out where they are to collect them. Examples of these assets could be movable types like supermarket trolleys, delivery vehicles, hospital wheelchairs, etc., or non-movable types like machinery and equipment. By attaching small, IoT-based tracking devices to these assets, the asset owner will be able to track and locate them automatically. In addition, the operating status and physical parameters of the asset can be measured by additional sensors embedded into the tracking device. These location and condition data gathered by the asset tracking device can enable further downstream decisions to be made. For example, process enhancement such as predictive maintenance, real-time inventory management, or a simple track and trace operation, etc. Human-based errors can be minimised, increasing operational efficiency. This technology offer is an IoT-based asset tracking device that is fully customisable to perform various additional sensing functions. The device is also capable of monitoring its own operating conditions and associated environmental parameters. The technology owner is keen to do R&D collaboration with application developers from industries such as asset management, equipment management, logistics and the hospitality industry. The main features of the asset tracker device are: Communications range up to 10 km (within cellular coverage) Temperature range between -40 to 80 deg Celsius Battery life of 5 years Communication using NB-IoT or LTE-M Cloud-based data storage Web-based dashboard Miniature, compact size  Adaptable for all kinds of sensors Automatic alerts using email and other messaging services if the location is out of range, exceeds the boundary conditions, and weak battery power  This technology offer can be deployed in the following applications. Logistics, Last-mile delivery Fleet management Equipment management Industrial automation This technology offer can be customised further to include other sensors and different communication protocols.  The asset tracking device offers: Ultra low power operation; long battery life of more than 5 years for certain deployments Fully customisable with various sensors and different communication protocols The technology owner is keen to do R&D collaboration with application developers from industries such as asset management, equipment management, logistics and the hospitality industry.   Electronics, Sensors & Instrumentation, Embedded Systems, Infocomm, Geoinformatics & Location-based Services

The human nose has 400 different types of odour receptors yet has the ability to recognise about 10000 different smells. Currently, there are different artificial methods that can be used to sense various odours by detecting volatile organic compounds (VOCs). However, many of these methods detect a single type of VOC at any one time or detect the whole VOCs without identification, are often expensive, time-consuming, or require skilled laboratory personnel to perform the procedure. This technology offer is a novel Artificial Olfactory Sensor (AOS) system with pattern recognition using artificial intelligence (AI). This system can simultaneously detect multiple VOCs, and is able to classify the odours through AI techniques. The sensor can detect at concentration as low as 1ppb (parts per billion) and provides a fast sensing speed at 10 second/cycle.  The patented technology can be used in food quality evaluation, air quality evaluation or human healthcare diagnostics. The sensor consists of 16 elements and each of them have different receptors that response to various odour molecules. This will allow the sensor system to classify and identify more than 100 VOCs through machine learning. The system is customisable to include more sensor elements for further application development.   The sensors can be placed in multiple areas. The high sensitivity allows it to detect odours accurately even in wide spaces. Hence, it can be used to monitor and detect odours in public spaces, hotel rooms, public transportation, etc. The high-speed detection system allows it to operate in real time, and in a non-destruction manner; sample pre-treatment is not required. The technology offer can be implemented in the following applications: Healthcare diagnostics by detection of VOCs from the body  Health/ well-being monitoring by detection of VOCs from the body  Non-invasive food quality control during manufacturing or distribution Real-time alcoholic fermentation monitoring Air quality control e.g., in restaurants, schools or offices Ripeness/maturity check for fruits (e.g., avocado, strawberry) Detection of meat spoilage Reactor monitoring in chemical industry This AOS has broad applications. It can be further developed for specific applications through sensor customisation and machine learning techniques High speed and sensitive detection No sample pre-treatment required Real time, non-invasive and cost effective method, which can be used to classify large groups of VOCs The technology owner is interested to do R&D collaboration with companies working in odour detection from various industries, e.g., food industry, smart buildings, healthcare, energy and environment, etc. Electronics, Sensors & Instrumentation, Infocomm, Artificial Intelligence, Healthcare, Diagnostics, Foods, Quality & Safety, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

With the increasing global prevalence of gastrointestinal disorders, the rise in the geriatric population, and the preference for minimally invasive techniques by patients for diagnosis, the demand for capsule endoscopy is expected to grow to $1.2 billion by 2026. But the process of detecting lesions or abnormalities from the images taken by the capsule endoscope is very tedious, time-consuming and error-prone. It takes about two hours for a doctor to read an image due to which the missed diagnosis rate could be high. This technology offer is an AI platform that assists with the clinical diagnosis of endoscopy images and it comprises three deep learning networks that can be used to classify vascular lesions/inflammation, improve the image quality of the area of interest, and upscale the image resolution. This technology comprises three deep learning networks: A lesion classification network that can be used to classify vascular lesion images, inflammatory images, and normal images with more than 95% accuracy A segmentation network that can be used to clarify the location and area of the lesions with an Intersection-of-Union (IOU) of more than 85% A super-resolution network that enlarges the resolution to twice its original resolution, resulting in clearer images This technology comprises several neural networks that assist doctors/clinicians in hospitals and clinics which use capsule endoscopy techniques to capture images of the gastrointestinal track. It augments the clinician's workflow by reducing the cognitive load of locating lesions, it therefore reduces the time taken for diagnosis and improves the overall accuracy of diagnosis. Supports clinicians by pre-classifying large volumes of images captured by capsule endoscopes Aids clinicians in rapidly localising potentially problematic areas within captured images Improves the quality of images to facilitate accurate diagnosis The technology owner is interested in collaboration/co-development/customisation of the technology into a new product or service. Infocomm, Video/Image Processing, Artificial Intelligence

This technology offer is an Intelligent IoT Vertical Farming system, which is designed to be 4-tiered and mobile, for either indoor or outdoor farming. It uses a hydroponic system that grows plants by enhancing the photosynthetic process.  Since the system does not use soil, it is cleaner and more hygienic. FDA-approved and organic mineral nutrients are used for the hydroponic growing.  Compared to traditional agriculture, the vertical farming implementation saves more than 90 percent land area needed, while harvesting 80 percent more per unit area. Furthermore, with the water recycling design, the system achieves a reduction of 70 to 85 percent water usage.  The set-up therefore, promotes the “Go Green” initiative and contributes towards Singapore’s effort to reduce our carbon footprint.  In summary, the following is achieved: More than 90% land savings with more than 80% physical spaces unlocked. 70-85% water savings. Reduced wastages of fertilizers and nutrients. The main features are: The system automatically monitors temperature, humidity, CO2 level in the environment and maintains optimal conditions for the growth of vegetables. The system reduces maintenance costs by automatically controlling lighting and watering, and reducing water usage by recycling. The system incorporates a mobile-enabled dashboard that enables owners to monitor the growth of their crops and receive alerts when anomalies occur. The technology owner is keen to customise, out-license or test-bed this technology with the following potential collaborators: Food and Agricultural Industries Institutions (such as secondary schools, IHLs) Offices and shopping mall owners with spare land/space HDB roof-top carparks and gardens Warehouses with spare spaces Private Estate Owners The technology owner has been working closely with various partners to bring this affordable and IoT-enabled vertical farming solution to consumers, such as public housing owners and private estate owners, as well as urban farming industries. The system has also been deployed at a few Ministry of Education secondary schools.   System is suitable for: Urban Farming Industry companies HDB Owners Private Estate Owners Resizable to satisfy the requirements of consumers Portable and compact size system Bespoke large sized system Cost will vary based on system size IoT-Enabled automated system Environment control Monitor & Alert system Cleaner environment (No pests) Increase yield of crops Less land/space required Less water, fertilizers & nutrients required Crops grown are organic The system is suitable for: Urban Farming Industry companies HDB Owners Private Estate Owners The system is resizable to satisfy the requirements of consumers, and the cost will vary based on system size, which can be: Portable and compact size system Bespoke large sized system Urban farming, Vertical Farming, Go Green, hydroponic Infocomm, Internet of Things, Smart Cities, Sustainability, Food Security

Transparent conductive films have the function of transmitting both electricity and visible light. Indium tin oxide (ITO) has been widely used as a transparent electrode, but it is not able to meet the demand for lower resistance required in recent years. Metal mesh has been developed as an alternative, but there is a trade-off between lower resistance and finer wiring lines. When a large size is required, transmissivity has to be sacrificed by the increased line width to lower the resistance. The technology owner has developed a double-sided metal mesh-based transparent conductive film using a unique roll-to-roll manufacturing process to achieve a high wiring aspect ratio, low electrical resistance, and high transmissivity at the same time. It also has a very high planarity of the film surface, ensuring stable performance and quality when used as a transparent electrode for thin film applications. This technology is a unique manufacturing process for making metal mesh-based transparent conductive films with high light transmissivity and low electrical resistance. The technical features and specifications are listed as follows: Super-fine line width of 2 µm or less Low sheet resistance of 2 Ω or less (when transmissivity is 89%) Unique wire forming method (embedded in substrate film) High aspect ratio wiring to achieve low resistance maintaining high transmissivity Various base film materials (Polyethylene terephthalate (PET), polycarbonates (PC), cyclic olefin polymer (COP)) Single side and double side patterning available Supply form: roll form and sheet form available (max size 580 x 700 mm) Transparent conductive films have a wide range of potential applications in various industries, where the combination of transparency and conductivity is required. The potential applications include but are not limited to: Transparent touch sensor for electronics, automotive and medical devices Transparent display for AR headsets, smart glasses, and digital signage Transparent heater for sensing camera, LiDAR, and surveillance camera High frequency tele-communication: Transparent antenna for 5G/6G communication Meta-surface radio wave reflector Transparent electrodes: Flexible photovoltaics (PV) solar cell Light control panel and window Transparent electromagnetic interference (EMI) shield Transparent biochip for in-vitro diagnostic and monitoring Combine low electrical resistance and high light transmissivity Unique wire forming method and roll-to-roll manufacturing process Wide choices of base film materials (PET, PC, COP) Adaptable to various applications: touch screen, large-size and flexible display, defogging heater, high frequency tele-communication, high efficiency solar cell, quick response light control panel, etc. The technology owner is keen on R&D collaborations with partners who are interested in adopting the transparent conductive film in their products and applications. Transparent Conductive Film, Transparent Electrode, Metal Mesh, High Transmittance, High Transmissivity, Low Resistance, High Aspect Ratio, Flat Surface, Touch sensor, Photovoltaics Electronics, Display, Infocomm, Mobility, Energy, Solar, Radio Frequency, Sustainability, Low Carbon Economy