TECH OFFERS

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

Agarwood (Aquilaria malaccensis) is a fragrant dark resinous wood used in the production of oud oil through distillation. Agarwood and its by-products are associated with many cultures and religious purposes in Middle East, China, Japan, India, etc. They are widely used to produce incense, perfume, medicine, TCM medicine, teas, complimentary health products and more. This technology offer encompasses a distillation process that provides the highest quality of oud oil in terms of purity and density from agarwood. The technology owner is interested to do R&D collaboration and co-development activities with partners from various application fields, e.g., the development of novel complementary health products containing oud in the areas of wellness, medicinal, cultural, lifestyle, and product innovation relating to its by-products or waste. With this distillation process, the agarwood is able to deliver a higher level of agarotetrol. Agarotetrol is the main active constituents of agarwood which contributes to the fragrance of agarwood. In a recent study, comparing the sample from the same region and result stated in Chinese Pharmacopoeia 2015, this technology was found to have 6.4 times higher agarotetrol concentration. The positive finding entices more strategic collaborators for oud oil related product development. The technology provider is currently working with research institute on developing the validation methods, certification, and standards for agarwood products. This platform assures ongoing consultation between the tech provider and partners so as to achieve consistent and quality products that the consumers desire. The primary application area of this technology will be for medicinal purposes. Agarwood and oud oil has long been known for its healing powers in TCM and traditional healing ingredients for heart-saving pills, anti-stress, impactful healing effects to skins, organs and mental wellness. The technology can be deployed for the following applications: Cosmetics, Personal Care Products Dietary Supplements Teas Nutraceuticals Versatile applications and at the same time to obtain multiple benefits in one product Ready and consistent supply of agarwood chips with exclusive licensing rights Proprietary distillation process for high purity oud oil Sustainable farming through reforestation and low-carbon emission Personal Care, Cosmetics & Hair, Healthcare, Pharmaceuticals & Therapeutics

Scaffolds and microcarriers are the enabling technologies to support higher cell densities in cultivated meat and seafood development. There are currently different types of microcarriers available for cultivated meat. However, many of these are mostly made of animal-derived materials, non-edible materials or with low surface volume ratio. This technology offer is an edible, 100% plant-based microcarriers and scaffolds. The microcarriers and microbeads allow cells to proliferate and enhance the density of cells within a bioreactor. On the other hand, the scaffolds help those proliferated cells to differentiate as well as provide structure and texture for different cuts of meat. The technology is available for R&D collaboration and IP licensing, with partners that are working in the cultivated meat, seafood and dairy industry. Microcarriers The microcarriers are composed of various edible plant-based proteins and polysaccharides and are formed into small microbeads in the range of a few hundred microns in diameter. These microbeads are modified to allow for muscle and fat cells to attach to the surface. These microcarriers can be customised to contain specialized proteins or protein blends or hold special nutrients or other desired biologic molecules. Furthermore, the microcarriers can be introduced into downstream processes such as differentiation scaffolding and 3D printing without removal of cells. Scaffolds The scaffolds are made of edible and food-safe materials. They can be customised to support cell adhesion and differentiation. Additionally, the alignment of the fibers and its stiffness properties can be modified. Hence, it will help to achieve the desired consistency and appearance of the meat cuts. The technology offer consists of microcarrier and scaffold that are uniquely positioned to accelerate the rate and quality of cultivated meat production across a wide variety of meat types including crustaceans, fish, chicken, beef, pork, and more. The microcarriers are designed for usage in most suspension and dynamic culture systems; the scaffolds are designed for partners looking to create structure and cohesion in their cultivated meat products. The microcarriers and scaffolds are completely edible and animal-component free The nanofiber scaffolds and microcarriers are customisable into different parameters for cell line applications The facility is undergoing FDA certification to ensure compliance for the production of food-safe materials Chemicals, Polymers, Foods, Ingredients, Processes

Image annotation is a critical step in developing computer vision and image recognition systems. Image annotation can be used in applications in a spectrum of deep-tech pillars such as Healthcare/Medical (detecting and diagnosing diseases from radiology or pathology images), Manufacturing (defect detection from image scans), Agritech (plant/crop health check via images and photos), and more. As a result, image annotation is critical in developing Artificial Intelligence/ Machine Learning (AI/ML) models in a variety of fields. The role of image annotation in deep learning has changed over time. Today, image annotation has become more important for object recognition with new characteristics and capabilities in real-world settings. However, manual labeling of complex objects continues to be time-consuming, tedious, and error-prone - additionally, outsourcing these labeling tasks might not always be the best way due to domain-expertise required in labeling complex image data e.g. radiography images or surface defects on semiconductors. This technology offer is an AI-assisted image labelling tool that enables technical teams to collaboratively, quickly, and easily label large image datasets with pixel-level accuracy masks. As the tool is industry agnostic, it can be used by any industry with a minimal learning curve. The technology owner is keen to work with companies who are looking to build out datasets / ground-truths / and labels for building deep-learning experiments and capabilities, through R&D collaboration and licensing opportunities. The features of this technology are as follows: AI-Assisted Labelling Most datasets are huge with complex geometries. The AI-Assisted labelling feature within the tool uses a mixture of contour analysis methods and deep-learning to label these datasets within a few clicks per image with pixel-level accuracy. Users just need to click on the area of interest and the corresponding masks around the object of interest will be automatically generated. Industry Agnostic The image labelling process is industry agnostic and works with most 2-dimensional (2D) RGB image types (JPG, PNG, etc) - the tool has already been used in computational pathology, manufacturing, and inspection use-cases. General Specifications Works on 2D RGB Images (or converted from other spectrums) Supports Polygon, Bounding Box, Mask labels Exportable to major annotation formats e.g. COCO JSON, LabelMe, PascalVOC, COCO MASK, CSV Width-Height, etc Supports immediate model training with MaskRCNN, DeepLabV3 with "One-Click Train" feature One of the issues faced by researchers, machine learning, and data scientists is that labeling data can be tedious and time-consuming. The tool seeks to help them label data much faster - using only a few clicks to generate near pixel-perfect masks for your data.  Teams have been able to label thousands of medical images within a week using our automated segmentation algorithm and fully-online tool to improve collaboration amongst the labeling team and supervisors.  Computational Pathology and Medical Imaging Disease Detection and Identification (Tumour Lesion, Fracture, Foreign Objects) from X-Ray / MRI Machines Anomaly Detection in Blood Cell Scans / Pathology Scans Manufacturing  Multi-Class Materials Defect Detection (Semiconductors, Materials, Fabrication Quality Assurance, etc) Assembly Parts Identification and Counting Material Defects Labeling  Cracks / Rust / Anomaly Labelling from X-Ray / RGB Images Agriculture and Food Technology Crops and Food Grading Crops / Trees Labeling Food Inspection Data Labeling Others Construction Site Management Smart City Use Cases (Human Monitoring, Crowd Controls, Carpark Capacity Scanning System) The global data annotation tools market size was valued at USD 629.5 million in 2021 and is anticipated to expand at a compound annual growth rate (CAGR) of 26.6% from 2022 to 2030. The growth is majorly driven by the increasing adoption of image data annotation tools in the automotive, retail, and healthcare sectors - the demand for annotation tools is soaring because of the need to reinforce the value of data in these industries. Additionally, the global data collection and labeling market size was valued at USD 1.67 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 25.1% from 2022 to 2030. The market is expected to witness a surge in the adoption of the technology owing to benefits such as extracting business insights from socially shared pictures and auto-organizing untagged photo collections. It also contributes to developing enhanced safety features in autonomous vehicles, such as condition monitoring, terrain detection, wear detection, and emergency vehicle detection. Machine Learning has been incorporated in various industries, including facial recognition on social networking websites, automated picture arrangement on visual websites, and robotics and drones. Helps teams label data much faster - an AI-enabled segmentation tool that uses only a few clicks to generate pixel-perfect masks for your data. Completely online, no additional plug-ins are required - labelling is done in a web browser, and can be performed collaboratively within the team or with an offshore workforce Medical data for example, require years of expertise to label correctly - this tool allows professionals such as doctors, and researchers to label data 10 times faster. Does not require learning any proprietary software (minimal learning curve) Allows teams to quickly train powerful AI models after data-labeling for an end-to-end workflow as images are taken as inputs, and trained deep-learning models are generated as outputs (FasterRCNN, MaskRCNN, DeepLabV3, YOLO etc) Supports the generation of labeled files for multiple popular frameworks Artificial Intelligence, Deep-Learning, Data Labeling, Machine Learning, Computer Vision, Instance Segmentation, Medical Imaging, Defect Detection Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

Despite the increasing prevalence of obesity, all FDA-approved medications, which act indirectly on the central nervous system to suppress appetite or on the gastrointestinal tract to inhibit fat absorption, suffer from poor effectiveness and side effects. Most of these medications have been withdrawn from the market. Although liposuction performed in clinics can effectively remove targeted subcutaneous fat, it suffers from invasiveness, high costs, associated risks, induction of compensatory increase of visceral fat. Although thermal lipolysis induced by high-power laser energy is a non-invasive way to reduce subcutaneous fat, its effectiveness is limited and it often causes skin burning. Both liposuction and laser lipolysis cannot improve whole-body metabolism. The technology owner has developed a transdermal mild photothermal therapy directly acting on the root of evil, i.e. subcutaneous fat, to induce its ameliorating remodelling (browning, lipolysis, angiogenesis, and apoptosis), based on the injectable hydrogel encapsulated with photothermal agent. Browning refers to the conversion of energy-storage white fats into energy-burning brown fats. Further, combining with pharmaceutical therapy by codelivery of pharmacological agent leads to a strong therapeutic synergy. This method not only ensures high effectiveness and low side effects due to localized and targeted application but also remotely creates significant improvements in whole-body metabolism (e.g., reduction of visceral fat, relief of diabetic symptoms). In addition, this technology is applicable for cosmetic purposes, e.g., body contouring and reduction of double chin. The technology owner is seeking potential biotechnology companies, clinicians, and other partners to clinically translate and commercialize this technology. Possible modes of collaboration include R&D, process, and product development. Photothermal agents and pharmacological agents are encapsulated in biocompatible and biodegradable hydrogel which retains the therapeutics to ensure sustained effects. After being injected into subcutaneous fat depots (e.g., belly fat) using an insulin needle or an automated injection device with minimal pain, NIR irradiation at each injection site will be applied for only five minutes using a portable laser source, one to three times a day for several days without the need of another injection. This described procedure (injection + laser treatment) can be applied once or several times. Obvious mass reduction of the treated fat and other beneficial effects on the whole-body should be resulted. In contrast to laser lipolysis, this procedure shall be much more effective, pain free without causing skin burning, and profoundly beneficial. It can be conducted in clinics by professionals or be self-administered at home for long-term care. The primary application area of our technology is for treating obesity and associated metabolic diseases (e.g., type 2 diabetes). This technology can also be used for non-therapeutic or cosmetic purposes, including contouring, sculpting, or slimming one or more regions of the subject’s body for a desirable appearance. To be specific, this technology can locally remove stubborn fat below the chin, or in thigh, abdomen, thorax, flank, upper limb, upper body, lower limb, back, etc.   As highlighted by Mordor Intelligence, the anti-obesity drugs market was valued at about US$ 1,690 million in 2020, and it is expected to reach US$ 4,250 million in 2026, registering a CAGR (compound annual growth rate) of 15% over the forecast period, 2021-2026. And according to IMARC Group, the global body contouring market reached a value of US$ 7.3 billion in 2021, and is expected to reach US$ 11.1 billion by 2027, exhibiting at a CAGR of 6.9% during 2022-2027. This technology provides an unprecedented solution with high effectiveness and low risks. Non-invasive targeted treatment on subcutaneous fat Drastic reduction of subcutaneous fat and visceral fat Relief of obesity-associated metabolic diseases (e.g., diabetes) Low risks and low side-effects High effectiveness Self-administrable Obesity, Diabetes, Metabolic Diseases, Transdermal Therapy, Personal Care, Slimming Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

Singapore is currently only producing 13% of its vegetable consumption. With little farming land available, Singapore relies heavily on imports from other countries. Due to increasing focus on food security, the alternative to solve land scarcity problem is to build greenhouses on concrete rooftop. Although concrete rooftop greenhouse are able to keep pests out, there is a signifcant heating problem which severely inhibits the growth of the vegetables. Therefore, there is a need for a rooftop greenhouse that is able to actively cool itself to avoid such problem. This technology offer is a modular rooftop greenhouse farming system (hydroponics) capable of producing vegetables on concrete roofs to meet the local demand while reducing over-reliance on imports. The design of the greenhouse farming system enables cooling and does not heat up, thus allowing the growth of pest-free vegetables. The system is approximately the size of a typical carpark lot (2.5 x 5 m). The production rate is 30 kg per month (2.5 x 5 m size) and requires minimal human intervention. The technology offer comprises both the farming system and its operation know-how. The modular rooftop greenhouse farming system can be set-up within 3 days or scaled-up when required with guaranteed vegetable growth. The break-even cost of one greenhouse is about 3 years. The technology owner is seeking to out-license their technology. This technology offer is a temperature regulated and modular farming system (hydroponics) for rooftop farming. The features and specifications are as follows: Modular and scalable Flexible sizes (as small as 2.5 x 5 m) 30 kg/month (2.5 x 5 m size) Active cooling design (20% reduction in temperature) Passive system operation (minimal manpower) Anti-pest  Quick setup (3 days) Applicable for wide range of crops The main application for this technology is for those that are interested in rooftop farming. The potential applications are: Conversion of barren and unused concrete space into temporary/permanent arable land (eg. Carpark rooftops, schools, apartments, factories and floating platforms etc.) Can be applied to high-value crops Minimal human intervention is needed as the modular greenhouse farming system encompasses Internet of Thing (IoT) and automation Ability to scale-up immediately greenhouse, vegetable, urban farming, rooftop farming, bak choy, deep water culture hydroponics system, hydroponics, pesticide-free, farming IoT, farming automation Life Sciences, Agriculture & Aquaculture, Sustainability, Food Security