TECH OFFERS

Controlling both outdoor and indoor air pollution is crucial for protecting human health and the environment. Outdoor air pollution from industrial emissions and vehicle exhaust contributes to respiratory and cardiovascular diseases, global warming, and environmental degradation. Indoor air pollution can also cause chronic respiratory conditions and other health issues. According to the World Health Organization (WHO), outdoor air pollution causes approximately 4.2 million premature deaths annually, while indoor air pollution accounts for around 3.8 million premature deaths each year. Traditionally, wet scrubbers are used to reduce air pollution, ensuring regulatory compliance and protecting human health. However, they have drawbacks such as scaling, fouling, inefficient pollutant removal, and generating solid waste. These issues lead to frequent maintenance, high operational costs, and environmental pollution. This technology addresses these pain points by utilizing an array of water jets without the need for packing materials. This innovative solution offers more efficient pollutant removal, reduced maintenance, a compact design, and lower energy consumption, effectively solving the problems associated with traditional wet scrubbers. The technology owner is seeking collaborations with companies in the chemical/ pharmaceutical/ steel manufacturing sector for test-bedding and research and development (R&D) projects that require an eco-friendly scrubber. The advanced scrubber technology features 3000 high-efficiency water jets that maximize contact area and ensure even water distribution, eliminating the need for traditional packing materials. This design addresses issues like scaling, fouling, and corrosion, resulting in lower maintenance and operational costs. The system is compact, enhancing space utilization within facilities. It operates with a compressed spray, effectively capturing pollutants through vertical collision and inertial force. Test results demonstrate a significant reduction in pollutants such as ammonia, formaldehyde, and acetic acid. Additionally, the technology is energy-efficient, reducing power consumption compared to traditional scrubbers, and supports sustainability goals by minimizing solid waste generation.  This technology has the potential to be applied on these areas, harnessing on its ability to remove pollutants effectively using water as a filter: Chemical Manufacturing: Handles a wide range of chemical emissions effectively, ensuring compliance with environmental regulations Steel and Metal Processing: Captures fine particulate matter and metallic dust, improving air quality Food and Beverage Processing: Improves air quality in processing plants, enhances worker safety, and reduces environmental impact Pharmaceutical Manufacturing: Ensures high removal efficiency for specific pollutants such as ammonia and formaldehyde High-Efficiency Water Jets: For maximizing gas-liquid contact, ensuring even water distribution, eliminating issues with uneven waterjet output when compared to traditional systems No Packing Materials: Does not require packing materials, addressing problems like scaling, fouling and corrosion of traditional scrubbers Statistically Proven: 100% reduction in pollutants such as ammonia, formaldehyde and acetic acid Environment, Clean Air & Water, Sanitisation, Mechanical Systems, Sustainability, Sustainable Living

Dementia, particularly Alzheimer's disease, is a significant socioeconomic burden in aging societies. Traditional blood tests are unable to  detect Alzheimer's biomarkers despite that the biomarkers appear 10-20 years before the appearance of cognitive decline symptoms. A groundbreaking ultrasensitive blood biomarker detection technology has been developed to overcome this limitation. This patented technology detects disease biomarkers at femtogram (fg/mL) levels, achieving sensitivity over 10,000 times higher than conventional methods. In addition to advanced biomarker detection, a comprehensive lifelog data collection technology has been integrated. Using smart rings and other wearable devices, extensive lifelog data is gathered, including sleep patterns, activities, and urine test results. This multimodal data collection supports the creation of the world’s largest Asian Senior Cohort, targeting over 30,000 individuals for the next 5 years. A key component of this innovative approach is the AI-based data analysis for the diagnosis and prognosis of dementia and cognitive dysfunction. AI algorithms analyze the comprehensive datasets, providing precise diagnostic insights and predicting disease progression. This AI-driven analysis, combined with ultrasensitive biomarker detection and detailed lifelog data, forms a robust data platform for early diagnosis, continuous monitoring, and personalized healthcare solutions. By focusing on these cutting-edge technologies, this platform offers a holistic and precise approach to managing cognitive health in super-aging societies. This innovative solution supports precision medicine and provides a comprehensive method for the early detection and ongoing management of dementia and other age-related diseases. This technology offers substantial improvements over current cognitive health management practices through several unique features: Ultrasensitive Biomarker Detection: Unlike conventional methods, which often lack sensitivity, this technology detects Alzheimer's biomarkers at femtogram (fg/mL) levels. This capability enables detection up to decades before cognitive symptoms manifest, facilitating early intervention and significantly improving treatment outcomes. Comprehensive Lifelog Data Integration: Utilizing smart rings and wearables, the technology continuously gathers detailed lifelog data such as sleep patterns and physical activities. This holistic monitoring approach provides a comprehensive view of an individual's health status, enabling personalized healthcare strategies tailored to specific patient needs. AI-Driven Precision Healthcare: Integrated AI algorithms analyse multimodal datasets with over 90% accuracy for diagnosing and predicting cognitive dysfunction. This AI-driven analysis enhances diagnostic precision, monitors disease progression effectively, and optimizes treatment plans based on real-time data insights. Establishment of Large-Scale Research Cohorts: The technology facilitates the creation of extensive Asian Senior Cohorts, supporting longitudinal studies and clinical trials. This infrastructure is pivotal for advancing research in drug discovery, validating biomarkers, and developing innovative medical devices aimed at enhancing dementia management. This integrated technology revolutionizes cognitive health management in aging societies by combining ultrasensitive biomarker detection, comprehensive lifelog data collection, and precise AI-driven analysis for proactive healthcare solutions.  Early Diagnosis: The technology's ultrasensitive biomarker detection enables early identification of Alzheimer's disease, potentially decades before symptoms appear. This early detection supports timely interventions, improving treatment outcomes and quality of life for patients. Continous Monitoring and Personalized Care: Integrating lifelog data from smart devices allows for personalized healthcare strategies tailored to individual health profiles and the continuous monitoring of daily activities, sleep patterns, and vital signs facilitates proactive management and optimization of treatment plans based on real-time data insights.  Tailored Treatment Strategies:  AI-driven analysis of multimodal datasets provides valuable insights into disease progression and treatment efficacy. This capability aids healthcare professionals in monitoring cognitive decline, adjusting therapeutic approaches, and delivering timely interventions to enhance patient care outcomes. Research and Development Platform: The establishment of a large-scale Asian Senior Cohort and extensive lifelog data collection creates opportunities for advanced research in drug discovery, biomarker development, and validation of medical devices. This platform supports longitudinal studies and clinical trials, offering a robust framework for investigating correlations between biomarkers, lifestyle factors, and cognitive health outcomes The market potential for this technology is substantial, driven by the increasing prevalence of dementia and the growing elderly population globally. The Alzheimer's Disease International estimates that over 50 million people worldwide currently live with dementia, with numbers projected to nearly triple by 2050. This demographic shift underscores the urgent need for innovative technologies that can improve early detection, management, and treatment outcomes. This technology's unique value proposition lies in its groundbreaking sensitivity in biomarker detection which allows for early detection of cognitive decline and dementia much earlier than presentation of clinical symptoms. Integrated lifelog allows for a holistic monitoring approach which provides a comprehensive view of an individual's health status, enabling personalized healthcare strategies tailored to specific patient needs. In addition, integrated AI algorithms analyse multimodal datasets with over 90% accuracy for diagnosing and predicting cognitive dysfunction. This AI-driven analysis enhances diagnostic precision, monitors disease progression effectively, and optimizes treatment plans based on real-time data insights. Lastly, the technology provides an opportunity for the creation of extensive Asian Senior Cohorts, supporting longitudinal studies and clinical trials. This infrastructure is pivotal for advancing research in drug discovery, validating biomarkers, and developing innovative medical devices aimed at enhancing dementia management. Dementia, Biomarkers, Alzheimers, Diagnositcs, AI, Precision Health, Personalised Healthcare Healthcare, Diagnostics, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

Singapore is an aged society and is set to be “super-aged” in 2026. This means that 21% of the population are 65 years and above. In a recent study conducted in Singapore, 72% had some form of cognitive impairment. The number of young onset dementia is also on the rise in Singapore. This underscores the critical need for early detection and intervention. However, existing screening tools for dementia have limitations. Their ability to identify Mild Cognitive Impairment (MCI), an early stage of dementia, is limited. Additionally, these tools require specialized instructors for test administration and scoring, which can be inconvenient for seniors who must visit a facility for screening. This innovative app merges mobile technology with artificial intelligence to address these challenges. It outperforms the MMSE (mini-mental state examination), the most widely used dementia screening test, in identifying both Alzheimer’s disease and MCI. Furthermore, the AI-based automatic scoring system provides test results within one minute, eliminating the need for specially trained instructors. This feature makes the app accessible anywhere, including at home. By enhancing the accuracy, accessibility, and usability of dementia screening, the app aims to facilitate equitable access to essential healthcare resources and contribute to the well-being of individuals and communities.     The app screens for Alzheimer's disease and Mild Cognitive Impairment (MCI) early by analyzing the user's speech. First, the application begins by collecting speech data from the users answering 11 questionnaires measuring each cognitive ability such as short-term memory and numeracy. Second, the recorded speech files are converted into images using spectrogram generation. Spectrograms convert audio signals into visual representations that show the frequency and intensity of sound over time. This conversion enables the application to capture intricate details and patterns within the user's voice that indicate cognitive changes. Third, the heart of the application is its proprietary artificial intelligence (AI) algorithm. This algorithm has been trained on a vast dataset of voice recordings from 1,300 patients through 2 years of clinical studies. It uses deep learning neural networks to identify subtle patterns, variations, and anomalies in the generated imag­­es. Fourth, the AI algorithm analyzes the images to detect specific patterns associated with Alzheimer's and MCI. These patterns include irregularities in pitch, tone, rhythm, pauses, and other vocal attributes that reveal cognitive decline. Through voice-to-image conversion and a proprietary AI algorithm, the app offers a promising avenue for early diagnosis and proactive management of cognitive health. The app is tailored for the senior healthcare market with two distinct versions: The first version targets the B2B2C healthcare market, focusing on providers of senior care products and services in both public and private sectors. This version operates independently of medical oversight and does not offer disease diagnosis or numerical health assessments. This will be positioned as a cognitive health monitoring tool to empower care providers to enhance their offerings in the senior care market. The second version is a medical device intended for the B2H channel, including hospitals, clinics, and health check-up centres. This version is currently in the process of obtaining certification from the relevant medical device regulatory authority, such as K-FDA. Once certified, the app can complement or replace existing dementia diagnostic tools such as MMSE and CIST. This capability allows hospitals to expand their range of dementia diagnostic services and generate additional revenue from cognitive health assessments, addressing a gap in the current market offerings. Dementia is not solely a concern in South Korea but a global challenge. The number of global dementia patients is anticipated to rise from 55 million in 2020 to 139 million by 2050. Some studies even suggest that this figure may surpass 152 million, three times the current number, by 2050 (Washington University School of Medicine's Institute for Health Metrics and Evaluation, 2021). The market size is expected to continue growing with an average annual growth rate of 12.8% over the next six years. The app pioneers a meticulous approach to cognitive health assessment through acoustic analysis. Unlike traditional methods that rely solely on user responses, it analyses factors such as word intervals, pauses, and pitch variations. This detailed acoustic perspective enables it to detect early signs of cognitive decline, surpassing the limitations of conventional techniques. Central to innovation is a language-independent algorithm. It effortlessly converts user speech into spectrogram images that vividly depict speech characteristics using colour and brightness variations. This approach breaks down language barriers, adapting seamlessly to diverse linguistic contexts without requiring new algorithms for each language. This adaptability ensures the app serves global communities effectively. Designed for accessibility and convenience, the app completes screening in just 10-15 minutes using a mobile device—no specialised equipment necessary. This simplicity empowers seniors and caregivers, democratizing proactive health management. The app's portability and user-centric design redefine dementia screening, offering innovative features and universal accessibility that set a new standard in cognitive health assessment. Healthcare, Telehealth, Medical Software & Imaging

The company offers a suite of innovative automated liquid handling systems, hardware and software for process automation designed to enhance precision, efficiency, and scalability in biological research. The industry currently faces significant challenges with semi or full automation of laboratory equipment, including high costs, limited flexibility, and manual errors. These bottlenecks hinder the efficiency and reliability of complex laboratory processes. The company's technology addresses these issues with a range of flagship products that provide cutting-edge automation for tasks such as genomic and proteomic analysis, drug discovery, and clinical diagnostics. The systems feature modular assembly, allowing for easy customization and scalability to meet the evolving needs of life science laboratories. This flexibility ensures that the solutions can adapt to various experimental setups and requirements. One of the unique value proposition of the company's technology is its ability to significantly reduce costs up to 90% compared to traditional automation systems. This cost-effectiveness is achieved through innovative mechanical design, advanced software integration, and efficient hardware utilization. Additionally, the systems boast the largest consumables library in the industry, providing researchers with a wide range of options to support their specific needs. The company is actively seeking software and OEM partnerships to further enhance its product offerings and expand its market reach. By collaborating with key partners, it aims to continue driving innovation and providing top-tier solutions to the life sciences industry. The product range includes modular automated liquid handlers, hardware and software engineering that can be customized for a variety of laboratory applications. Key features include: Precision Pipetting: Capable of handling small volumes with high accuracy. User-Friendly Software: The software interface allows for easy programming and integration with existing lab protocols without the need for extensive technical knowledge. Scalable Design: Modular components enable easy expansion and adaptation to changing research needs. Compatibility: Seamless integration with other laboratory instruments and workflows. Industry: Pharmaceuticals, Biotechnology, Clinical Research, Academic Research. Applications: High-throughput Screening, Drug Development, Clinical Diagnostics, Production, Quality Control, PCR Preparation, Protein Purification, Nucleic Acid Extraction, Diagnostic Sample Preparation, NGS Library Preparation, Serial Dilution, Cell-based Assay, ELISA, Aliquoting. Products: Automated liquid handlers, No-code lab automation software, Customizing for OEM/OEM process automation. The global market for liquid handling systems is expected to reach $3.6 billion by 2027, driven by increasing demand for automation in the life sciences sector. Significant growth opportunities exist in North America, Europe, and Asia, with a focus on applications in drug discovery and clinical diagnostics. The lab automation solutions provide unmatched precision, reliability, and flexibility at a competitive price. Lab automation solution minimizes human error, increases experimental reproducibility, and supports scalable research workflows, making it ideal for laboratories looking to enhance their operational efficiency and data integrity. Enhanced Precision: Reduces manual errors by up to 99%, ensuring reliable and reproducible results. Advanced pipetting technology for accurate liquid handling. Increased Throughput: Automates repetitive tasks, allowing for a 50% increase in sample processing rates. Streamlines workflows to reduce manual labor. Cost Efficiency: Reduces costs by up to 90% compared to traditional automation systems. Innovative mechanical design and modular components save an average of $50,000 per year in operational costs. Modular Assembly: Allows for easy customization and scalability to meet specific laboratory needs. Flexible design that can adapt to various experimental setups and requirements, reducing setup time by 70%. User-Friendly Software: Advanced software for intuitive operation, reducing training time by 60%. Drag-and-drop interface for easy protocol setup and modifications, enabling setup changes in under 5 minutes. Collaboration: Consultative lab automation system ODM/OEM partnership from ideation, concept design, product validation and product commercialization. Ability to provide fully automated solutions including consulting, hardware, software and 3rd party integration. Automated Liquid Handling, Laboratory Automation, Clinical Diagnostics, High-Throughput Screening, Automation Robots, Pipetting, Biofoundry, Cell Line Development, Drug Discovery, Genotyping Healthcare, Diagnostics, Pharmaceuticals & Therapeutics, Manufacturing, Assembly, Automation & Robotics, Life Sciences, Industrial Biotech Methods & Processes

Sensor technology for smart homes and smart building services has undergone significant evolution and advancements over time. Initially designed as stand-alone devices without communication capabilities, sensors have advanced to interconnected wireless communication systems with built-in antennas powered by batteries. The latest advancements include next-generation low-power wireless reception technology, enabling the design and manufacture of long-lasting wireless sensors with miniature batteries. These advancements have greatly benefited the development of wireless sensors such as smoke and carbon monoxide detectors, sirens, fire alarms, heat alarms, and more. A Japanese corporation has developed a new low-power wireless technology that significantly enhances synchronization, standby reception, and driver processes during the sensor's wireless communication cycle. This low power wireless reception technology aims to achieve precise time synchronization during communication between the base station and connected devices. In instances of asynchrony, intermittent reception at high frequencies is employed to detect radio waves due to uncertain timing in incoming communication. However, with this new synchronous method, clear timing alignment between the base station and connected devices allows intermittent reception to synchronize with communication timing, thereby reducing the frequency of high-frequency checks. This synchronization is facilitated by several techniques: Synchronization: The software ensures precise timing alignment between communication partners. This approach aligns communication schedules instead of frequently checking for signals. It allows intermittent reception to match communication events, reducing the need for constant high-frequency checks. Standby Reception: Beacon signals are transmitted from the base station for synchronization. By reducing the duration of these signals, power consumption is minimized. The firmware ensures that the connected device waits attentively before and after beacon reception, shortening the base station's transmission time. Driver Management: Control the switching between low-power standby and active reception states. With precise synchronization, the driver accurately predicts when to activate reception circuitry, ensuring readiness without energy wastage on constant checks. The technology can be applied to a wide range of wireless sensing uses for smart buildings and smart homes: Interconnected smoke detectors, fire alarms, and call buttons Sensors for HVAC controls and building management Occupancy sensors for presence detection and people counting Sensors for access and lighting control The technology owner is seeking business collaborations with application developers and product OEMs to manufacture new wireless sensors and enhance existing ones. This low power wireless reception technology is superior to Bluetooth (BLE) in communication range and to ZigBee in power consumption. Reduced need for battery replacement, longer intervals between maintenance for labor savings, and a compact battery for improved design and aesthetics. Reference target for the technology: 10-year battery life based on battery capacity of 1600mAh Communication distance of 100m or more The overall energy savings from implementing this technology compared to conventional methods can be up to 82%. Wireless, Low power, Reception technology Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Wireless Technology

With the increasing number of at-risk pregnancies and the limitation of the care delivery system, it becomes urgent to find a reliable solution that addresses technology, cost and care delivery challenges. Forging new frontiers in pregnancy care, the technology provider has developed a solution comprising a comprehensive remote monitoring suite for obstetrics care. The technology is a turnkey and modular virtual maternity care solution that enables the digitalization of existing antenatal and postnatal protocols. The technology allows the care team to deliver risk-specific care to pregnant mothers in the comfort of their homes through a patient mobile app and an array of connected monitoring devices, including a proprietary home use fetal and maternal monitor. The technology provider is looking to engage relevant stakeholders for collaboration to support their research projects and their global commercialization journey. The technology is a unique and comprehensive remote monitoring suite for obstetrics using novel sensors and algorithms to offer clinical-grade, self-monitoring of fetal and maternal heart rates, and contractions to improve access to care for expectant women. The technology comprises the combination of a proprietary fetal monitor with a mobile application that offers customizable questionnaires and is connected to BP monitors and glucometers. Clinicians can gain essential insights into the health status of the mother and foetus while offering expectant women quality care at the comfort of their homes. This also provides more convenience and better information about their pregnancy. The technology delivers multiple benefits to stakeholders such as: New sensing technology for the foetus that eliminates subjectivity in standard technology (CTG) while providing higher resolution data to detect early signs of pregnancy complications A holistic and protocol-driven remote monitoring platform that offers comprehensive features has been essential for clinicians as women across the risk spectrum can now be monitored remotely Easy to use platform offering greater usability and deployment capabilities A cost-effective maternity care to streamline the maternity care process This technology can be applied in Women and Baby’s Health for: Connected Prenatal and post-natal care Fetal medicine Powering Decentralized Clinical trials The maternity system can provide data-driven care to improve maternity outcomes and minimize the risk of complications while reducing the cost of care. Further, the technology is patient-centric where it empowers expectant women with easy-to-use tools to access convenient, engaging and personalized care. Telehealth, medical device, digital health Healthcare, Medical Devices, Telehealth, Medical Software & Imaging

Unsafe and contaminated food poses significant global health risks, affecting approximately one in ten people worldwide and leading to economic losses of around $110 billion annually in low and middle-income countries due to reduced productivity and medical expenses. This issue also accounts for an annual burden of 33 million disability-adjusted life years and causes about 420,000 premature deaths. Additionally, the escalating use of pesticides in food production to meet the demands of a growing population contributes to approximately 200,000 deaths each year due to toxic exposure, posing severe threats to both human health and the environment.  This technology, Plasma Activated Water (PAW) provides an eco-friendly, chemical-free decontamination technique which eradicates residual chemicals, inhibiting microbial growth in agricultural produce. The technology is highly effective (95% reliability) in breaking down organic compounds, including pesticides, and destroying microbial pathogens on the surfaces of fruits and vegetables, resulting in an extended shelf-life.  PAW eliminates the need for potentially toxic chemicals for washing, minimizes chemical residues, reducing environmental impact and agricultural losses, thereby lowering costs. It effectively degrades pesticides, enhancing food safety while maintaining nutritional quality and sensory qualities.   The technology owner is seeking collaborations with agricultural companies or Institutes of Higher Learning to test-bed their technology.  Plasma Activated Water (PAW) is an innovative technology that harnesses the reactive properties of plasma to enhance the characteristics of water. The process involves generating an electrical discharge in a gaseous environment, creating a plasma rich in reactive oxygen and nitrogen species (RONS). The use of pin-hole technology allows for precise and controlled plasma generation at the required intensity and location. This technique involves creating a small, focused plasma jet through a pin-hole or narrow aperture, which directs the plasma stream accurately to the target area. This precision ensures effective application, reducing the risk of unintended exposure and increasing treatment efficacy. The focused nature of the plasma jet also minimizes diffusion, resulting in more efficient energy use and lower operational costs. The reactive species interact with the surface of agricultural produce, they effectively deactivate or destroy pathogens, bacteria, and pesticide residues. PAW technology significantly enhances food safety by reducing contaminants in produce by over 50-80%, compared to just 30% with standard water washes.  This technology has the potential to transcend agricultural applications, harnessing its pathogen- and bacteria-destroying capabilities.  Healthcare and Medical Sector: Can be used to irrigate wounds, leveraging its strong antimicrobial properties to clean and disinfect wound sites, promoting faster healing and preventing infections Industrial Wastewater Treatment: To treat industrial wastewater by breaking down pollutants and pathogens, ensuring that the treated water meets environmental regulations  Superior Decontamination Efficiency: Highly Effective: PAW technology significantly reduces contaminants, achieving over 50-80% reduction in pathogens and pesticide residues compared to just 30% with standard water washes. Its decontamination efficiency stands at 95% reliability Broad-Spectrum Antimicrobial Action: PAW effectively eliminates a wide range of microorganisms, including bacteria, viruses, and fungi, providing comprehensive protection Eco-Friendly and Chemical-Free: Minimized Chemical Use: Unlike traditional methods that rely heavily on chemical disinfectants, PAW uses plasma to activate water, significantly reducing the need for potentially harmful chemicals Harmless Byproducts: The reactive oxygen and nitrogen species (ROS and RNS) generated by PAW break down into harmless byproducts, such as water and nitrogen, making it environmentally friendly Environment, Clean Air & Water, Sanitisation, Foods, Quality & Safety, Sustainability, Food Security

With the advent of the intelligent era, data has become the core asset of enterprises. Simultaneously, remote work and multi-branch collaboration have emerged as new work modes. Many enterprises urgently need a cybersecurity solution that can ensure data security and improve work efficiency to deliver quality services and enhance competitiveness. Traditional enterprise security measures impose various restrictions on employees’ use of software and hardware and limit access to third-party partners, such as prohibiting access to personal computers and requiring the installation of multiple access endpoints. These restrictions generate several problems to the enterprises, such as complex usage, inadequate security defense capabilities, and high operating costs. To address these issues, the technology owner has launched an innovative enterprise security browser designed to solve security challenges in remote work and multi-location collaboration while optimizing the employee working experience. This enterprise security browser features a lightweight design, is easy to install, and seamlessly integrates into employee workflows without requiring modifications to existing software and hardware. Additionally, it employs a series of dynamic security strategies to enable find grain control over data leakage and user privacy protection, achieving effective and intelligent enterprise data security management. The technology owner is actively seeking partnership with companies with multiple employee identities in the financial and internet sectors, to co-develop and deploy this innovative enterprise security browser. Such collaboration will enable both parties to push the frontiers of data security and offering robust support for the digital transformation of enterprises. This innovative browser, built on Chromium and deeply integrated with a zero-trust safety classifier, prioritizes both safety and efficiency, significantly improving the user experience and employee performance and enhancing the data security protection loop in multiple enterprise scenarios. Reliable Access: dynamically secures enterprise access from multiple dimensions such as access, identity, device, access, and data, ensuring comprehensive security Data Desensitization: utilise identity-based data access control and granular data desensitization to prevent data leakage through techniques such as character masking and sensitive content blocking, realising a personalized display for different users Behavior Management: control behaviors such as anti-copying, anti-printing, and anti-screenshot, migrating the risk of information leakage by ensuring files not landing on local hard drives Security Visibility: offers comprehensive logging and auditing of user access, behaviors, and threat alarms, facilitating easy traceability and thorough auditing Perfect Experience: requires no hardware for rapid deployment and hassle-free replacement. Maintains a familiar interface for a seamless transition, low learning curve, and high efficiency The technology owner leverages zero-trust security concept to offer comprehensive security management, making it ideal for sectors like finance, e-commerce, and manufacturing that require remote work and multiple branch operations, as well as industries that requires robust data security. Potential application scenarios include: Third-Party Secure Collaboration: guarantee secure data access for industry chain collaborators Remote Secure Access: ensure safe access from anywhere, supporting hybrid work modes IE Restriction Management: transition from IE to a dual-core browser, enabling access to IE-restricted sites Data Leakage Protection: multiple desensitization templates and security controls VDI Replacement: a cost-effective and low-maintenance alternative to VDI VPN Enhancement: by replacing with a more secure browser-based solution Identity access security: continuous verification and precise access control Whole-link data security: automated desensitization, encryption and behavior controls Dynamic verification and defense: adapts security based on behavior analysis Cost-effective: low-cost, easy installation and user-friendly Data security, Remote Work, Cyber Security Infocomm, Security & Privacy, Enterprise & Productivity

The demand for improved healthcare, coupled with increasing life expectancy and a growing elderly population, alongside resource constraints, necessitates the implementation of a 24/7 remote monitoring system equipped with an accurate risk prediction process. This process should forecast potential risks for individuals, enabling early detection and remote alerts to promptly alert healthcare providers and individual caregivers, thereby enhancing the well-being of those under care. A Japanese technology owner has developed a Time-of-Flight (ToF) sensor technology, characterised by executing a risk prediction process to predict risks for the monitored individuals based on presence range and posture.  Unlike conventional camera-based systems, the proposed technology emphasises the privacy of the monitored individual by abstaining from capturing actual photos or images. Through the implementation of a proprietary artificial intelligence (AI) algorithm, it can discern whether the individual under observation is absent from the bed, lying flat on it, sitting at its edge, or lying on the floor next to the bed. A web-based user interface had been developed to provide healthcare professionals various degrees of warning, e.g., patient at safe zone, gray zone, caution zone or bed edge zone. The technology owner is looking to work with healthcare providers, agencies or developers providing housing for the elderly, or technology companies for test bedding trials, as well as research and development collaborations to customise the technology for specific use cases. The technology leverages time-of-flight (ToF) sensors, which gauge distances between the sensor and the subject for each point in the image based on the round-trip time of an artificial light signal emitted by a laser. The process commences with the capture of an image of the individual, subsequently transmitted wirelessly via Wi-Fi to central management software. Equipped with algorithms, this software discerns any movement beyond predefined boundaries, such as within a hospital bed setting. Positioned above the bed, ToF sensors ascertain the person's position, whether lying down, seated on the bed's edge, or standing beside it. The resultant data is transmitted to a dedicated server situated at a nurse or helper station, where professionals like nurses or caregivers operate. The ToF sensor is positioned at a height of 2.5m, effectively covering a 2m x 2m area. The sensor detects height variations by displaying different colours and shapes on the software's graphical squares. Additionally, the system conducts an analysis of the individual's spatial orientation and vertical displacement, aiding in the evaluation of their overall condition. Visual representations typically depict lighter hues denoting proximity to the sensor, while darker shades indicate areas further away, such as the floor. Patient/ Elderly Fall Management: Healthcare Monitoring: Monitoring patients in hospitals or nursing homes to track their movements, position changes, and overall well-being without compromising their privacy. Elderly Care: Assisting caregivers in monitoring elderly individuals living independently at home to ensure their safety and well-being, particularly for those at risk of falls or other health issues. The technology can be adapted to be used for object tracking, human presence detection, etc. The technology is low-cost and low-power consumption, lightweight, and easy to install. The UVP includes: Privacy Emphasis: Prioritizing privacy by avoiding actual image capture while still providing effective monitoring. Unlock greater data potential: System firmware/software maximizes TOF sensor data, extracting unparalleled value. Visualization and Analysis: Utilizes graphical representations and AI/ ML algorithms to visualize and analyze data, aiding professionals in evaluating an individual's condition and making informed decisions. Real-time Alerts: Provides real-time alerts to professionals, such as nurses or caregivers, enabling prompt responses to any detected abnormalities or movements outside predefined boundaries. System Extension: ToF sensors can be easily added into the existing hardware and software system, minimizing implementation costs and disruption. Healthcare, Wellness, Fall Detection, Time-of-Flight sensor, AI algorithm Infocomm, Video/Image Analysis & Computer Vision, Wireless Technology, Healthcare ICT