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Leaks in water pipelines are a common problem for utility companies. In the utility sector, the term “real losses” refers to actual physical water leaks that occurs on transmission and distribution mains, leakage and overflow at utility storage tanks and leakage on service connections up to the water meter. These non-revenue water losses cause a significant economic loss even to some of the most well-managed water distribution systems in the world. To manage and reduce water loss, utility companies carry out preventive maintenance, perform active water network monitoring by using noise loggers, smart meters, flow/pressure meters to collect useful data. Another proactive approach is to employ state of the art leak detection and localisation technologies such as acoustic leak detection (hydrophones), accelerometers, or the use of robots/endoscopes. Such approaches often face the challenges of false alarms, inaccurate leak pinpointing, limited exploration range and high cost of long-term monitoring. Developed by a South Korea-based startup, the proposed technology herein relates to an AI-aided exploration robot for underground/buried pipeline diagnosis for leaks, cracks, corrosion, scale, surface damage and other anomalies using image, audio, pH and LiDAR sensor data. Unlike conventional robots, the exploration robot is designed to be relatively small (smallest being 4.4 cm diameter x 11 cm length) to enable direct inspection of the inside of small diameter water pipelines. Designed to complement hydroacoustic technology, the exploration robot also addresses the current challenge of short explorable distance of about 100 m by offering up to 3 km exploration range. The startup is seeking to work with utilities or companies providing services to utilities to perform trial preferably in Singapore and explore long term collaborations in terms of customising solutions to specific applications, as well as technology licensing and revenue sharing through joint development with Singapore-based partners. Consist of two types of tethered exploration rovers: 1) Small robot equipped with image, sound and pH sensors, and 2) Robot equipped with LiDAR equipment. Designed to navigate bends and angles within pipelines, the robot is capable of inspecting water pipes with diameters ranging from 50 mm to 300 mm. Based on the collected data, the system performs AI-aided diagnosis of anomalies of up to 5 classes, i.e., Normal Pipe, Weld, Corrosion, Scale, and Surface Damage, along with a water pipe deterioration score and recommendation for pipe cleaning and/or replacement cycle. Capability to develop 3D maps based on image and other sensor data to enable digital twin-based asset management solution for the water distribution network and facilities. Utilities or public agencies that operates and maintains the water distribution network. Facilities that are close to its useful life: for early warning / prediction of the cleaning and replacement cycle of pipes. Future development for oil and gas pipelines applications. As of 2018, the global water industry generated about $1087.4 billion, accounting for about $600 billion in capital expenditures and operational expenditures for water and sewage-related facilities. Singapore's smart city and infrastructure management market is growing rapidly, and it is expected to reach billions of dollars by 2025. In particular, the water supply and infrastructure management market constitute a significant portion, estimated at several million to tens of millions of dollars annually. The nationwide water leakage rate in Singapore is around 10%, which is a substantial loss for a small city-state. Efficient and accurate pipeline inspection and maintenance powered by AI image analysis and digital twin. Exploration robots equipped with multiple types of sensors including LiDAR to generate 3D maps, with industry leading exploration range of up to 3 km. AI-driven robot inspects water pipelines in real-time, detecting issues such as leaks, corrosion, and blockages without requiring service interruptions, which ensures a continuous water supply and minimises costly manual inspections. Water pipes, Abnormal signs, Exploratory robot, 3D maps, Digital twin Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

The  Intelligent Document Processing (IDP) technology addresses a significant pain point in the transportation and logistics industries: the manual processing of non-standardized documents. Mid-size companies in these sectors often handle over 25,000 pages of mission-critical documents monthly, including commercial invoices, packing lists, and bills of lading. This manual process is not only labor-intensive and costly—exceeding $1 million annually—but also prone to data entry errors that can result in penalties and further operational inefficiencies. The IDP solution uses Machine Learning, Computer Vision and Natural Language Processing automatically extracts, structures, and validates key information from semi-structured and unstructured documents, significantly reducing the need for human intervention. By automating these processes, companies can achieve up to an 80% reduction in operating costs and a 50% increase in productivity. The system's Generative AI ability to provide structured data also enables better analytics and decision-making, further adding value to the users. Potential adopters of this technology include mid-size logistics companies, freight forwarders, and transportation firms seeking to streamline operations, reduce costs, and improve accuracy in their document management processes. By solving these critical issues, the IP offers a valuable solution in a marketplace urgently needing efficient and scalable document processing tools. The Intelligent Document Processing (IDP) technology consists of several core components: Advanced Optical Character Recognition (OCR) Engine: This component accurately captures text from a variety of document formats, including PDFs, images, and scanned documents, even when they are of poor quality or contain complex layouts. Natural Language Processing (NLP) Algorithms: These algorithms are used to understand and interpret the extracted text, allowing the system to identify and categorize key information such as item descriptions, quantities, prices, and shipping details. Machine Learning Models: The technology uses machine learning to continuously improve its accuracy and efficiency in recognizing and extracting data from semi-structured and unstructured documents. This includes the ability to learn from user corrections and adapt to new document types. Data Validation and Reconciliation Engine: This feature cross-checks extracted data against existing records and databases to ensure accuracy and consistency, reducing the likelihood of errors and discrepancies. Integration APIs: These allow seamless integration with existing enterprise systems, such as ERP and CRM platforms, facilitating automated data entry and real-time updates. This Intelligent Document Processing (IDP) technology can be deployed across various industries that deal with large volumes of complex documents, particularly in the transportation and logistics sectors. Key applications include: 1. Customs Brokers, Transporters, Carriers, and Freight Forwarders: The technology automates the processing of incoming documents, such as commercial invoices, packing lists, and bills of lading. This automation facilitates the creation of entries and shipments, optimizing business process flows by reducing manual data entry, minimizing errors, and speeding up transaction times. 2. Maritime Port Authorities: The IDP technology can be used to provide comprehensive visibility into port activities by automatically processing and organizing data from cargo manifests, hazmat documents, and statements of effects. This enhanced visibility allows port authorities to monitor cargo movements, ensure compliance with safety regulations, and optimize operational efficiency. Marketable Products Based on This Technology: 1. Automated Document Management Systems: Tailored for logistics companies to streamline their document processing workflows. 2. Compliance and Regulatory Reporting Tools: Designed for port authorities and other regulatory bodies to ensure accurate data collection and reporting. 3. Data Analytics Platforms: Offering advanced analytics and insights from the structured data extracted by the IDP technology, aiding in decision-making and operational planning. The technology goes beyond the current "State-of-the-Art" by not only extracting data from documents but also interpreting this data within a business context to fully automate workflows. Traditional solutions often stop at data extraction, leaving the interpretation and integration into business processes to manual effort or separate systems. This technology uniquely combines advanced OCR, NLP, and machine learning to understand the nuances of business documents, such as identifying specific items, terms, and conditions that are critical for decision-making. By contextualizing the data, it enables automatic validation, reconciliation, and integration into enterprise systems like ERP and CRM platforms. This end-to-end automation reduces manual intervention, cuts down on errors, and accelerates processing times, thereby optimizing operational efficiency. The Unique Value Proposition (UVP) of this technology lies in its ability to not just handle data but to make it actionable, providing businesses with a seamless, automated solution that enhances productivity, reduces costs, and enables more informed decision-making. This holistic approach sets it apart from other solutions that focus solely on data extraction without providing the means to utilize that data effectively within existing business processes. Infocomm, Artificial Intelligence

The rapid development of digitalization is transforming the construction industry, addressing critical challenges such as high energy consumption, elevated management costs, and low operational efficiency. Traditionally, the industry has focused on construction while neglecting operations and maintenance (O&M), relying heavily on manual operations and human experience. These outdated methods are increasingly inadequate for meeting the current demand for smart buildings. Intense competition and high costs have rendered traditional models uncompetitive. Consequently, smart O&M has become essential for improving efficiency, reducing costs, and enhancing service quality in the building and construction industries. The technology owner has developed a full-chain solution that integrates software and hardware, based on their Artificial Intelligence of Things (AIoT) core technology. This solution covers all aspects of building O&M, from underlying hardware devices to upper-level software, intelligent algorithms, and platform services, offering a one-stop solution for various application scenarios. Covering the entire lifecycle of building electromechanical design, construction, operation, and maintenance, it facilitates the digital and intelligent transformation of both new and existing buildings. Additionally, comprehensive low-carbon and energy-saving solutions are provided to maximize the value of energy assets. Supported by digital twins and AI intelligent algorithms, and leveraging a digital platform, the technology owner delivers smart and green solutions to achieve efficient, low-cost, and low-carbon building operation and management. The technology owner seeks collaboration opportunities and partnerships with building portfolio owners and solution providers interested in digital upgrading, energy management, and O&M automation. The digital O&M management platform comprises five main modules: cockpit management system, equipment management system, energy management system, O&M management system, and data asset management system. Each module includes multiple sub-modules that can be customized or combined according to customer requirements. Key features of the solution include: Digital Twin and 3D Visualization: To create a precise replica of the building based on a lightweight Building Information Model (BIM) To optimize multi-level management from the exterior and interior of the building Data Visualization for Real-Time Management: To assist building owners in promptly managing real-time operational data, energy consumption and environmental data, and other status of building equipment AI Decision System and Algorithms: To collect energy data for utilities such as water, electricity, and gas To automatically optimize energy consumption by integrating AI decision control systems and smart frequency conversion control algorithms Lifecycle Management and Predictive Maintenance: To track the full lifecycle records of equipment, including operation, maintenance, repair, and inspection To enable predictive maintenance for key equipment to prevent operational losses This intelligent operation and maintenance solution is ideal for a wide range of building environments, such as smart buildings, campuses, hospitals, commercial real estate, manufacturing facilities, and smart cities in need of digital upgrades or smart energy management. It is suitable for both new and existing buildings. The solution can be implemented at the level of individual buildings and scaled up to cover entire regions or cities, regardless of geographical scale. Full-chain Solution: from hardware, software to platform service Flexibility: able to deliver diverse and customized solutions by integrating various models Scalability: applicable to singular building and expandable to cover an entire city operations and maintenance (O&M), Smart Buildings, Smart Cities Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Green Building, Sensor, Network, Building Control & Optimisation

The AI-based software for gastric cancer prevention and management is a pioneering medical device that leverages real-time AI diagnostics to improve patient outcomes. This innovative solution aims to enhance the survival rates and quality of life for high-risk gastric cancer patients, reduce healthcare costs by preventing the disease from progressing to more severe stages, and is currently undergoing clinical trials in major hospitals in Korea with related patents secured. Among the world's seven major cancers, the one with the lowest 5-year relative survival rate of 20-30% demonstrates that regular surveillance diagnostics of the high risk patients is the most well-proven preventive measure. The core technology integrates comprehensive AI diagnostics from pre-cancerous stages to cancer and a multi-modal AI personalized surveillance system for optimal preventive management and patient care. Developed in Korea, where millions of endoscopic examinations are conducted annually, this software is designed to maximize the diagnostic and consultative capabilities of physicians and enhance the preventive management functions for patients. The user interface is tailored to meet the needs of doctors, high-risk patients, and their caregivers, with AI algorithms and interfaces continuously improving.   Key functional Features: High-performance AI algorithms and unique interface: Patented AI/interface and over 1 million data points diagnose comprehensive pre-cancerous conditions, including gastric cancer, adenoma, and chronic gastritis (intestinal metaplasia). Diagnostic accuracy: Simultaneously diagnoses multiple diseases in real-time, achieving performance equal to or superior to that of skilled physicians. User-friendly display: Intuitive UI resolves information asymmetry between skilled and unskilled doctors, as well as between doctors and patients. Multimodal AI software: Integrates various data sources such as imaging, medical, and language to support multimodal consultations and provide personalized management and care plans. Versatility: Supports both on-premises and cloud environments, making it compatible with various endoscopic devices and platforms. Efficiency and environmental protection: Features like auto-capture and best shot selection enhance pathology confirmation efficiency, reducing medical time and costs and contributing to environmental protection. Development process: Organically structured in stages of UI design tailored to doctor and patient needs together, AI algorithm development and integration, final product quality verification, and continuous enhancement. As a digital healthcare solution: Real-time diagnostic market and new medical device market based on AI software solutions Health management services using AI-based personalized preventive care solutions Insurance and consumer (patient)-targeted health management platform linkage market Future markets that can be linked and expanded with the medical ecosystem related to medical big data, telemedicine, and patient monitoring systems  As a software developer and business operator: New business approaches through collaboration with various hardware and platform operators The global market for AI-assisted upper endoscopy diagnostics exceeds $6 billion, while the patient-driven gastric cancer prevention and care market surpasses $60 billion. A particular company demonstrates significant market competitiveness through its innovative technologies: Endoscopic Pre-cancer Diagnosis for Gastric Cancer Prevention: The first technology in Korea and globally that allows personalized diagnostic results to be managed over time. A technology with approximately 90% diagnostic accuracy for major pre-cancerous conditions like intestinal metaplasia, achieved through comprehensive analysis of multiple landmarks in videos, potentially replacing numerous random biopsies. Early Partnerships: Pursuing early partnerships with multi-national hardware and platform providers based on software flexibility. International Academic Activities: Presentation at the European Union Digestive Disease Week in October 2023 (superiority in diagnosing intestinal metaplasia compared to experienced physicians). Abstract presentation at the Spring 2024 SIDDs conference (efficiency of landmark classification and engine compared to experienced physicians, and improvement in photo documentation quality). Several research publications are currently in the process of being published. Current Advanced Technology Improvements Comprehensive Real-Time Diagnosis: Unlike existing solutions that focus on a single and non-real-time disease detection, this product simultaneously diagnoses various conditions from pre-cancerous stages to cancer in real-time. High Diagnostic Accuracy: Trained on over a million data points, the AI algorithm provides diagnostic accuracy equal to and/or significantly better than skilled physicians' visual detection. Multi-type User-Friendly Interface: An intuitive ‘medical device UI’ addresses information asymmetry not only between skilled and unskilled physicians, but also between doctors and patients. Multimodal AI Software Medical Device: Integrates imaging, medical records, and language data to support personalized consultations and preventive care plans. Support for Various Environments and Efficiency: Supports both on-premises and cloud environments, and features automatic shooting and optimal shot selection to reduce medical costs and contribute to environmental protection.   Unique Value Proposition (UVP) Compared to Current Advanced Technology World's First AI-Based Preventive Care: The first AI software medical device to implement real-time AI diagnosis for gastric cancer preventive care. Comprehensive Solution for Gastric Cancer Prevention Management: Provides an integrated solution that simultaneously addresses the major obstacles in gastric cancer prevention management, such as diagnostic errors and appropriate surveillance management errors. Verified Patent Technology: Undergoing clinical trials in major hospitals in Korea, with related patents obtained and filed to ensure the reliability and effectiveness of the technology including surface/diffuse type of lesion detection not limiting to traditional contour-based lesion detection. International-Level Research: Maintains cutting-edge technology through continuous international-level research. Healthcare, Diagnostics

Gum disease, a widespread and severe condition, often remains undetected until it progresses to advanced stages, leading to significant oral health issues and costly treatments. This AI-driven gum disease detection and management system is designed specifically for home use and caregiving environments, such as care homes. It enables non-specialists to monitor oral health effectively, providing an early and accurate gum disease screening. This technology empowers caregivers, family members, and individuals to take proactive steps in maintaining oral health, especially for care home residents and people with low mobility who may have limited access to regular dental care. Using advanced machine learning algorithms, the system analyses oral images provided by the users to detect early signs of gum disease with high accuracy. Early detection allows timely intervention, reducing the risk of severe gum issues and enhancing overall health. The AI system is user-friendly and requires minimal training to operate, making it ideal for non-professional settings. It addresses a significant market need by providing accessible, reliable, and cost-effective oral health monitoring tools, ensuring that quality oral care is available to those who need it most. This technology improves individual health outcomes and reduces the burden on professional dental services by enabling early disease management. This AI-driven gum disease detection and management system leverages the user's smartphone camera to capture detailed images of the gums and teeth. The core components of the technology include: Smartphone Camera Integration: Utilizes the built-in camera of the user's smartphone, whether high-end or low-end, to capture images necessary for analysis. The AI algorithms are designed to work effectively with a wide range of camera qualities. AI Software Algorithm: Employs advanced machine learning to analyze the captured images, accurately detecting early signs of gum disease. User-Friendly Mobile Application: Provides an intuitive interface for users to easily photograph their gums, receive diagnostic feedback, and access personalized care recommendations. Private Cloud-Based Data Storage: Securely stores user data and images in a private cloud, supporting continuous monitoring and historical comparisons for tracking gum health over time while ensuring data privacy and security. Real-Time Feedback: Offers immediate diagnostic results and suggestions for preventive care or further actions. Ideal collaboration partners in the value chain include medical institutions for clinical validation and feedback, smartphone manufacturers to ensure compatibility and optimize performance, and elderly care facilities to pilot and implement the technology in real-world settings. This AI-driven gum disease detection and management system can be deployed across several industries, primarily healthcare and consumer wellness. Key applications include: Home Healthcare: The technology enables individuals and caregivers to monitor and manage gum health from home, significantly reducing the need for frequent dental visits. This is particularly beneficial for elderly individuals and those with mobility issues, allowing them to maintain oral health conveniently. Elderly Care Facilities: Staff in elderly care homes can regularly check residents' oral health, ensuring early detection and treatment of gum disease. This proactive approach can prevent severe oral health issues, enhancing the overall well-being of residents. Telemedicine: The system facilitates remote consultations with dental professionals. By leveraging the data and images captured by the AI system, dental professionals can provide more informed recommendations and care plans without the need for in-person visits, making dental care more accessible. Consumer Health Products: This technology can be marketed as part of comprehensive home dental care kits. These kits would include the mobile application and guidelines for capturing images, promoting proactive gum health management among consumers. Dental Insurance: Insurance companies can integrate this technology into their preventive care programs, encouraging policyholders to monitor their gum health regularly and reducing the risk of costly dental treatments. This AI-driven system enhances gum disease detection and management, making quality oral healthcare more accessible and efficient across various settings. It supports a wide range of applications, from individual home use to professional healthcare environments, and can be marketed as part of innovative dental care products and services. The market potential for this AI-driven gum disease detection and management system is substantial, given the high prevalence of gum disease and the increasing emphasis on preventive healthcare: Market Size: Global Dental Market: The global dental market was valued at approximately $37 billion in 2020 and is expected to grow at a CAGR of around 6.4% from 2021 to 2028. This growth is driven by an aging population, increased oral health awareness, and technological advancements. Elderly Care Market: The global elderly care market is projected to reach $1.7 trillion by 2028, growing at a CAGR of 7.1%. Oral health is a significant concern in elderly care, making this technology highly relevant. Telemedicine Market: The global telemedicine market size was valued at $50 billion in 2019 and is expected to expand at a CAGR of 19.3% from 2020 to 2027. The integration of dental care into telemedicine platforms presents a significant opportunity. Attractiveness to the Market: Accessibility and Convenience: By utilizing smartphone cameras, the technology is accessible to a broad audience, regardless of the type of phone they use. This convenience makes it an attractive option for home healthcare and elderly care settings. Cost-Effectiveness: Early detection of gum disease can prevent the need for expensive treatments, making this technology a cost-effective solution for individuals and healthcare providers. Data Privacy and Security: Private cloud storage ensures user data is secure and private, addressing a critical concern in the healthcare industry. User-Friendly: The intuitive mobile application requires minimal training, making it easy for non-specialists, such as caregivers and family members, to use effectively. Proactive Health Management: The technology promotes a proactive approach to oral health, encouraging regular monitoring and early intervention, which aligns with the growing trend towards preventive healthcare. Overall, the market potential for this AI-driven gum disease detection and management system is significant, with opportunities spanning the dental, elderly care, and telemedicine markets. Its accessibility, cost-effectiveness, and alignment with preventive healthcare trends make it an attractive solution for a wide range of users. This AI-driven gum disease detection and management system offers a transformative solution over the current "State-of-the-Art" in oral healthcare through several key improvements and unique features: Accessibility and Convenience: Improvement: Unlike traditional methods requiring regular dental visits, this technology leverages the ubiquitous smartphone camera, allowing users to monitor their gum health from home. This democratizes access to advanced oral health diagnostics. Cost-Effectiveness: Improvement: Early detection and continuous monitoring reduce the need for expensive treatments and frequent dental check-ups, providing a more affordable solution for maintaining oral health. Advanced AI Diagnostics: Improvement: Employs sophisticated machine learning algorithms to analyze images with high precision, ensuring reliable detection of early-stage gum disease across different smartphone models, from high-end to low-end. User Empowerment and Ease of Use: Improvement: The intuitive mobile application is designed for non-specialists, requiring minimal training. This empowers individuals, caregivers, and family members to monitor and manage oral health actively. Real-Time Feedback and Recommendations: Improvement: Provides immediate diagnostic results and personalized care recommendations, enabling proactive health management and timely responses to potential issues. Data Privacy and Security: Improvement: Utilizes private cloud storage to ensure secure and confidential user data management, addressing critical privacy concerns in healthcare. Unique Value Proposition (UVP): This system uniquely empowers users by making advanced gum disease detection accessible through everyday smartphones without compromising diagnostic accuracy. Its combination of AI-driven precision, ease of use, and secure data management sets it apart from traditional methods and other existing technologies, providing a comprehensive and user-friendly solution for proactive oral health management. Healthcare, Telehealth, Medical Software & Imaging

Nanofibers are fiber-like structures with diverse functionalities. With their high aspect ratio and large surface area, these materials exhibit unique characteristics that have potential for several applications, including medicine, environmental science, construction, agriculture, and apparel. Typically produced using polymers, nanofiber production has been limited to small-scale production due to difficulties in scaling up of the manufacturing process. This technology aims to address the constraints of large-scale nanofiber production to produce nanofibers continuously. By means of unique equipment and melting of raw materials or dissolution in solvents, uniform nanofibers are produced through the control of processing parameters to enable large-scale production. This patented technology also allows the formation of three-dimensional (3D) layered fiber structures at point of production. Nanofibers produced through this technology have been utilised for oil-absorbent products with high absorption and retention capacity. The properties of nanofiber can also be tuned for other functionalities such as hydrophobicity, increased water retention and low thermal conductivity to name a few. The technology owner is interested in co-development collaborations to develop new nanofiber applications and looking for partners to license the nanofiber production method and establish new joint venture entities. This technology produces nanofibers through a patented manufacturing process that controls the heat of air during the melting of the material. Features of the nanofibers produced include: Nano-sized fibers with varying diameters from sub-100nm to 1000nm Lightweight Strong absorption and holding capacity of organic compounds e.g., oil, blood Water repellent Low thermal conductivity Excellent sound absorption Able to be used in fabrication of 3D structures for effective permeability and porosity control The unique properties of nanofibers make them ideal for a wide range of applications including (but not limited to): Consumer products e.g., oil absorbing sheets, female sanitary products Sound and heat insulation for buildings and automotives Filters e.g., air and water Textiles and fabric Agriculture Medical e.g., scaffolding materials, wound care Enables large-scale production of nanofibers Versatile material - properties of nanofibers produced can be customised for a wide range of applications nanofiber, polymer, materials, fiber, production method, oil absorption, acoustic, water repellent, hydrophobic, water retention, thermal conductivity, sound absorption Materials, Plastics & Elastomers, Nano Materials, Manufacturing, Chemical Processes

Anti-fouling coatings have garnered significant attention due to the increasing demand for durable, low-maintenance, and aesthetically pleasing surfaces in both residential and commercial spaces. These coatings help maintain cleanliness and appearance, reduce cleaning frequency and effort, and offer substantial cost savings in maintenance. However, balancing the performance and cost of anti-fouling coatings, particularly in achieving both oil repellence and dust resistance, remains a challenge. There is also a growing emphasis on developing stain-repellent coatings that provide long-lasting protection against abrasion. The technology offers a special fluororesin-based functional coating with excellent water and oil repellence and dust resistance. This thin, transparent and durable coating can be applied to metals, plastics, ceramics and various other surfaces. It effectively reduces the accumulation of oil and stain build-up on the surface, prolonging the life span of home appliances and reducing maintenance frequency. With these superior properties, such coatings have great potential for applications across electronics, household appliances, and automotive applications, enhancing product performance and durability while improving user convenience and hygiene.  The technology owner is seeking joint R&D collaboration and partnership with companies interested in integrating this coating into their products and applications. The coating formulation is a unique organic-inorganic composite resin that incorporates particle dispersion technology. It is synthesized by copolymerizing acrylic resin with polysiloxane and fluorine units, resulting in a resin with high water and oil repellency and low surface resistance. Key features of the anti-fouling coating include: Balanced performance: effectively repels water, oil stains, and dust Ultra-thin and transparent: preserve the appearance of materials with a 2-5 µm clear coating layer Long-lasting: improved scratch resistance due to the highly durable resin layer Customisable: tailor the coating by adding anti-static, antibacterial and antiviral properties Cost-effective: more affordable than existing PTFE and high fluorine content coatings Versatile application: suitable for a wide range of materials and surfaces Easy application: a simple 3-step process involving surface cleaning, spray coating and low temperature baking (100 °C). Energy saving and environmentally friendly The potential applications of anti-fouling coating include but are not limited to: Households: interior walls, ceilings, kitchen countertops, toilet seats, furniture, etc. Electrical appliances: lighting, ventilation fans, refrigerators, ovens, etc. Electronics: mobile phones, displays, touch panels, printed circuit boards (PCBs), etc. Automotive: windows, dashboards, wheels, fabric seats, etc. Industrial sectors: machinery, equipment, packaging materials, etc. Textiles and fashion: silks, fabrics, wallpapers, etc. Optimal performance: balanced oil repellence and dust resistance Enhanced durability: ensures long-lasting effect Cost-effective: low material cost and simple process (low temperature baking) Anti-fouling, coating, surface durability, water-repellent, oil-repellent, Dust resistence Materials, Composites, Chemicals, Coatings & Paints, Sustainability, Circular Economy

With the spread of smart home appliances, the demand for diverse audio notifications is rising. Traditional dynamic speakers and buzzers in consumer electronics, often built with rigid or bulky frames, are difficult to mount on curved or irregular surfaces and fit into compact spaces, thus reducing design flexibility. These components are also vulnerable to environmental damage such as dust, moisture, and shock, requiring additional protective measures that increase costs. Acoustically, buzzers can only emit single-frequency sounds, while dynamic speakers suffer from sound congestion and rapid frequency attenuation when embedded within devices. Despite offering better sound quality, dynamic speakers are more expensive than buzzers. To address these challenges, the technology owner has developed an ultra-thin, flexible, and cost-effective sheet type speaker that combines the advantages of both dynamic speakers and buzzers. This speaker produces high-quality sound across a broad range of frequencies. Its thin and flexible profile allows for seamless integration into various devices, significantly expanding design possibilities and fostering creative implementations. Additionally, its robust environmental resistance improves durability and reliability for long-term use in smart home appliances. This cost-effective solution also enables manufacturers to incorporate superior audio features without a significant price increase, paving the way for integrating sound as a key value-add in consumer electronics to enhance the user experience (UX). The technology owner is seeking R&D collaboration with industrial partners interested in incorporating this sheet type speaker into their products and applications. Cost Effective: Optimisation of original technology reduces costs Constructed from inexpensive materials such as thin metals, resins, and ceramics Design Flexibility: Ultra-thin and flexible profile: 0.2 mm thick and 20 x 20 mm - 30 x 30 mm square Versatile mounting: it can be mounted on various surfaces, including curved surfaces and narrow bands High Sound Quality: Broad audible range from 500 Hz onwards and wideband sound reproduction Sound pressure level (SPL): 80 – 90 dB at 2 kHz / 0.1 m Good Environmental Resistance: Special protective film: protects against dust, moisture, shock, etc. Water resistance: meets the IP68 waterproofing rating Heat and cold resistance: functions in temperatures ranging from -20 to 85 °C Potential applications include, but are not limited to: Home appliances: vibration detection in washing machines and coffee makers, voice notification in refrigerators and ovens, etc. On-vehicle applications: announcements in public transportation, navigation guidance and battery warnings for e-scooters and e-bikes, etc. Amusement applications: interactive displays for gaming, information signage in museums or galleries, etc. Wearable devices: medical alerts in health-monitoring wristbands, emergency alerts in safety gear, etc. Cost-effective with superior sound quality Ultra-thin design and structural flexibility Good environmental resistance Versatility in design and implementation for various applications speakers, Smart home appliances, voice notifications, Ultra-thin, Flexible, Sheet Type Infocomm, Speech/Audio Processing, Electronics, Interconnects

With rising concerns about carbon emissions, Carbon Capture, Utilization and Storage (CCUS) plays a crucial role in combating climate change. CCUS helps reduce emissions by capturing carbon from flue gas, removing carbon from the atmosphere, and transforming captured carbon into value-added products. However, conventional CCUS technologies often involved high energy consumption and operational expenses. Current carbon mineralization processes face challenges such as slow reaction rates, limited scalability, and high associated costs. To address these challenges, the technology owner has developed an economically viable carbon mineralization technology that integrates carbon fixation and the reuse of industrial solid wastes in an integrated manner. This technology targets both carbon utilization and long-term carbon storage. It focuses on using alkaline industrial solid wastes, such as steel slag, fly ash, and cement waste, which are rich in calcium and magnesium oxides, to efficiently sequester CO2. The process involves leaching calcium and magnesium ions from slag and precipitating them as carbonates for various applications. This modular technology is scalable and adaptable to different waste materials, promising substantial carbon reduction and transforming industrial waste into valuable resources. Implementing this technology allows steel, cement and chemical companies to tackle high carbon emissions and waste disposal issues simultaneously. The final product, with carbon-negative properties, helps downstream clients reduce the carbon footprint of their products, such as plastic, paper, rubber tires, paint and cement.  The technology owner is seeking collaboration with industrial partners, especially industrial waste producers, high carbon emission plants, cement companies using post-carbonation slag, and manufacturers of paper, plastic, and rubber. The technology consists of a carbon mineralization plant with 4-steps facilities: Reaction Facilities: extract calcium ions from industrial solid wastes using CO2 based acid Solid-Liquid Separation Facilities: separate liquid enriched with calcium ions and the post-carbonation slag Precipitation Facilities: produce calcium carbonate Drying Facilities: dry the final product to meet client’s requirement Key features of this technology include: Flexible CO2 Sources: can use ambient air, flue gas from various plants, or any gas mixtures containing CO2 Lower Energy Consumption: utilizes industrial waste, reducing energy-intensive raw material processing Cost-Effective: reagent recycling minimizes material costs, making the process economically viable Scalability: modular and adaptable design allows for easy scaling and application across various industries Environmental Impact: converts waste into valuable products, addressing CO2 emissions and industrial waste Industries for Deployment: Steel plants Cement plants Coal power plants Other industrial sites producing CO2 emissions and solid wastes Marketable Products: High-purity calcium carbonates for various industrial applications such as plastic, paper, paint, rubber tyre, etc. Post-carbonation slag with low iron content can be used as supplementary cementitious materials (SCM) for clinker Post-carbonation slag with high iron content can be recycled to the sinter plant as sinter ore Dual Benefit: combines carbon capture and waste management Economic Viability: generates revenue from products, offsetting costs Flexibility: adaptable to various industries and CO2 sources Sustainability: support a circular economy by turning waste into resources Carbon Capture, Utilization and Storage (CCUS), Carbon Mineralization Technology, Industrial waste Waste Management & Recycling, Industrial Waste Management, Sustainability, Low Carbon Economy