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The development of next-generation greenhouses in agriculture is driving a growing demand for innovative systems that can address both energy and food challenges simultaneously. Currently, agriculture heavily relies on fossil fuels, particularly heavy oil, as its primary energy source, new technologies must be explored to significantly reduce greenhouse gas emissions, such as carbon dioxide. Ensuring a stable food supply is crucial for increasing self-sufficiency rates, but the installation of traditional silicon solar cells has presented challenges due to shading effects, leading to reduced crop yields. Consequently, the absence of suitable solar cell technology for greenhouses poses critical problems for both power generation and food supply. Under this situation, green-light wavelength-selective organic solar cells (OSCs) have been developed. In this system, transmitted blue and red light can be effectively used to promote plant growth, while absorbed green light can be effectively utilized as a source of electricity for greenhouses. In addition, near-infrared wavelength-selective OSCs have been developed, which can use the near-infrared light to generate electricity while lowering the temperature inside the greenhouses. This wavelength-selective OSCs can be installed on the entire roof of greenhouses due to the advantages of light weight, flexible, and large area. This technology enables efficient utilization of solar energy for both power generation and agriculture. The active layer of OSCs consists of an intermixed bulk heterojunction structure of a donor and an acceptor. In the green-light wavelength-selective OSCs, the absorption range of both donors and acceptors is specially tuned to be in the green light region at approximately 500–600 nm. For the near-infrared wavelength-selective OSCs, organic semiconductors with the extended pi-conjugation system are used for the absorption in the range of 800-1200 nm. These absorption ranges are complementary to those of chlorophylls a and b, which are essential plant pigments involved in photosynthesis. The technology owner is seeking collaboration partners from chemical companies, OSC manufacturers, greenhouse manufacturers, and agricultural manufacturers. This technology can be developed by the joint implementation of chemical companies, OSC manufactures, greenhouse manufactures, and agricultural manufactures. Due to the advantage of transmitted feature, this technology can be also installed on the windows in buildings. Based on the Report Ocean Co. Ltd, the global market for agricultural greenhouses is projected to reach US $34925 billion in 2030. This OSC technology is designed specifically for agrivoltaics in agriculture. It is different from existing agrivoltaic systems and  uses green-light wavelength selectivity to maximize crop yields while generating electricity. It has higher transmittance properties compared to traditional silicon solar cells. The near-infrared wavelength selectivity can absorb the near-infrared light and lower the temperature inside the greenhouses, which can improve working conditions for farmers. Unlike traditional silicon solar cells, this lightweight, and cost-effective OSCs are ideal for greenhouse applications, reducing the need for frequent roof replacement. The single layer material is flexible and can be fabricated up to 50 meter-scale modules This technology includes the green light wavelength selective factor (SG) and the power conversion efficiency, to quantitatively evaluate the performance of OSCs for agrivoltaics. Agrivoltaics, Organic solar cells, Greenhouse, Wavelength selectivity Materials, Composites, Energy, Solar, Green Building, Façade & Envelope, Chemicals, Organic, Sustainability, Low Carbon Economy

With the increasing complexity and scale of projects, the need for efficient collaboration and information management has become more apparent, especially in large-scale initiatives. In response, many countries have mandated the use of Building Information Modelling (BIM) to enforce stringent construction project management and document control standards. As a result, BIM has been widely adopted across the industry, demonstrating its significant benefits. To better integrate work processes and connect stakeholders throughout the construction and building lifecycle, a Common Data Environment (CDE) is essential. The CDE provides a single source of truth with ISO 19650 full compliance approach to creating, organizing, and communicating information for project collaboration and lifecycle management of facilities. As a key component of digital transformation, the CDE integrates seamlessly with BIM workflows. It is regarded as one of the pillars of construction digitalization, enhancing BIM's effectiveness by serving as a central repository for collaboration throughout the entire project lifecycle. The technology provider seeks collaboration with construction firms, architects, BIM specialists, IT consultants, and facility managers. One of the major deliverables of CDE is the information models, e.g., Project Information Model (PIM) and Asset Information Model (AIM), which contains federated information deliverables produced through the CDE workflow to address the needs of all interested parties. Essentially, CDE is composed of major components: Electronic Document Management System (EDMS): This component ensures secure storage, retrieval, and version control of documents, enabling easy access to project information for all stakeholders. Workflow management: It automates and streamlines project processes, ensuring that tasks are executed in a structured and timely manner, improving efficiency and collaboration across the team. 2D and 3D coordination: This component facilitates the integration and visualization of 2D drawings and 3D models, enhancing design coordination, clash detection, and overall project accuracy. Dashboard, Gantt Charts, Kanban: Visual tools for tracking progress, timelines, and tasks. Dashboards offer real-time data, Gantt charts manage schedules, and Kanban streamlines task flow. Project Management: Facilitates project planning, execution, and monitoring, ensuring efficient resource allocation and goal achievement. Task Management: Organizes, prioritizes, and tracks tasks, ensuring timely completion of project activities. Document Management: Manages creation, storage, and sharing of documents, ensuring access to the latest versions for all stakeholders. 2D/3D BIM Viewer: Enables visualization and interaction with 2D/3D models for better design understanding and decision-making. BIM-GIS-IoT: Integrates BIM with GIS and IoT for enhanced spatial analysis, real-time monitoring, smart building and smart city management. Cloud Options: Provides scalable, accessible platforms for data storage and sharing, facilitating team collaboration. System Integration: Ensures seamless operation and data exchange between different project software and systems. 4D-7D BIM Applications: Extends BIM beyond 3D, adding time (4D), cost (5D), sustainability (6D), and facility management (7D). A.I. BIM Analysis: Uses A.I. to optimize designs, predict outcomes, and identify issues, improving efficiency and reducing risks. The market potential for Common Data Environments (CDE) with ISO 19650 full compliance is strong, driven by the global construction industry's growth, especially in emerging markets. As digital transformation accelerates, there is increasing demand for technologies that enhance project management and construction processes. Rising project complexity and scale necessitate effective collaboration and information management, particularly for large, multidisciplinary projects across borders. Advances in cloud computing and mobile access enable remote work and real-time collaboration, with CDEs integrating smoothly into existing project management systems. Key stakeholders—architects, engineers, contractors, owners, and regulators—benefit from CDE by boosting efficiency, cutting costs, speeding up decision-making, and reducing risks. As sustainability and green building gain focus, CDEs support these goals and, with advanced data analytics, help project teams better predict and manage performance, further increasing their value. Enhance connection between the physical and digital world for sustainable built assets: Reduce Time in Digitalization: Accelerates digital transformation, enabling faster implementation and adoption of digital tools in construction projects. Improve Data Quality: Ensures accurate, consistent, and reliable data throughout the project lifecycle, reducing errors and enhancing decision-making. Enhanced Health & Safety: Promotes safer work environments through real-time data access and better safety management processes. Boost Productivity: Increases efficiency by streamlining workflows and improving collaboration across project teams. Lower Operation Cost: Reduces operational expenses by optimizing resource usage and minimizing waste. Achieve Carbon Neutrality Goals: Supports sustainability initiatives by optimizing processes to reduce carbon emissions and energy consumption.   CDE, BIM, CIM, ESG, Construction Project Management, Informatization, Digitization, Digital Twin Infocomm, Smart Cities

As the customized cosmetics market continues to grow, the demand for cosmetics suitable to an individual's skin condition is increasing. Effective skin diagnosis and management to meet customer needs require total skincare solution products and services that enable continuous and quantitative skin care and management through accurate diagnosis. Currently, customized cosmetics in the market are less accurate in diagnosis and are limited to a small range of formulation permutations. This technology provides a total solution to hyper-personalization of skin care formulations tailored to 40 different skin MBTI conditions from measurement, diagnosis, manufacture, to supply. Based on 98.3% accuracy through a patented skin diagnosis device, a global skin database has been developed which is capable of generating a formulation within 4 minutes. To ensure a complete pipeline solution, the technology extends into manufacturing by having a fully automated patented sterile cosmetic manufacturing equipment and system. The daily production capacity can be supplied in varying quantity of volumes. Through its database and diagnostic technology, it is able to partner ingredient suppliers to formulate sustainable products. The company has also expanded the solution to non-beauty applications including hair care, fragrances and functional foods. The company is looking to partner with B2B customers who is looking to leverage on the various solution packages offered including diagnosis devices, manufacturing automation equipment systems, raw materials and subscription options to begin their journey for a hyper-personalization beauty brand or to further enhance their existing personalization capabilities to establish a stronger brand presence, product differentiation and offerings. The total solution consists of: Fresh Manufacturing: The manufacturing machine maintains a constant temperature and humidity and dispenses fixed amounts. Manufacturing quantity can be suited to volumes ranging from 15 ml to 250 ml with 3 different capacity machine types and size with the smallest one being compact and can be installed in beauty shops and clinics. Fully automated compounding and dispensing by using robotics. Smart Diagnosis: The diagnostic device enables accurate analysis based on big data and algorithms, regardless of gender, age, or race. Up to 25,000 computations possible for skin care products and over 5 ethnic diversities. Personalized Cosmetics: Customized cosmetics are formulated through analysis after diagnosis, tailored to the skin change cycle. The customized cosmetic solutions are exported to the United States and Hong Kong. The company is currently expanding beyond Personalized Beauty Tech to Comprehensive Personalization Tech. In 2023, a customized solution for a liquid e-cigarette company has been developed, and there are plans to develop hyper-personalized solutions in various fields, including perfumes and health supplements. The hyper-personalized beauty market is projected to grow to 125 billion USD, including cosmetics and devices, over the next 5 years, with cosmetics alone reaching 78 billion USD in this hyper-scale market. The technology offer an integrated total solution that connects diagnosis to formulation. The technology components can be categorized into 6 different aspects: A camera diagnostic portable device with 60X Magnification with 98.3% of accuracy assessing redness, sensitivity, moisture, wrinkles, pores and pigmentation. A high accuracy achieved through big data and algorithm (over 140,000 data sets). Simplification of manufacturing system yet equipped with sterilization, disinfection, constant temperature and humidity control facilities, ensuring safety and stability. Starting from skin diagnosis results, the formulation is automatically generated and sent to the manufacturing machine, a fully automated formulation machine. Fresh Manufacturing upon order under hygienic /safe manufacturing system. While other machines are limited to serums, this machine offers a wide range of product formulations, including facial essences, skin toners, lotions, ampoules, as well as shampoos and treatments for the scalp, providing product diversity. 3-types of manufacturing system enables grafting of various business model. One-stop customized subscription service of total cosmetics solution. Hyper-personalised cosmetic solution Personal Care, Cosmetics & Hair, Wellness & Spa, Fragrances, Nutrition & Health Supplements

The field of medical aesthetics has witnessed remarkable growth, driven by the increasing demand for non-surgical cosmetic treatments. Patients are increasingly seeking minimally invasive procedures that provide effective results with minimal discomfort, reduced downtime, and fewer side effects. This has spurred the development of advanced technologies such as dermal fillers, injections, and various energy-based devices to address common concerns like wrinkles, skin laxity, and volume loss. Despite these advancements, traditional needle-based injection methods still present challenges. They can cause discomfort, bruising, and anxiety, which often deter patients from seeking treatment or lead to suboptimal results due to patient hesitation. Additionally, needle-based procedures carry inherent risks, such as infection, uneven distribution of the injected substance, and potential damage to surrounding tissues. To overcome these issues, a laser-guided, needleless drug injection device has been developed. This technology utilizes a 2940nm Er:YAG laser that interacts with water to create internal explosions, generating strong pressure. This pressure converts the drug, sprayed from a nozzle, into a jet form, allowing it to be delivered precisely and evenly into the desired skin layer. The technology enables the rapid injection of large quantities of medication, offering a pain-free, controlled, and efficient alternative to traditional needle-based injections. The technology owner is seeking collaboration with partners in the aesthetics, pharmaceutical, medical laser device manufacturers, and professional medical institutions. The goal is to expand the application of this technology beyond aesthetics, into areas such as drug delivery for vaccines and other therapeutic uses. The technology consists of a 2940nm Er:Yag laser body, a dedicated handpiece, and a nozzle. It is an innovative technology that allows safe and uniform delivery of drugs in microliter units. It is approved by CE to be used in the EU as a laser-based needle-free injector for drug delivery The drug can be injected at a rate of 0.3 microliters per injection Fast speed of up to 40 times per second Inject repeatedly and uniformly in the very shallow upper dermal layer (1-2mm) Minimal pain and minimal downtime to patient Dual effect of solution and micro-jet Micro-Jet nozzle is a disposable consumable The technology, currently utilized in the medical aesthetics industry, holds significant potential for broader applications. By diversifying energy sources and adjusting energy intensity based on the core intellectual property, this technology could be adapted and customized for various applications such as cosmetic general medical care vaccine delivery with a potential for targeting different depths of the skin (subcutaneous or intramuscular) in a compact version. Precise Micro-Injection: Delivers drugs at a controlled rate of 0.3 microliters per injection into the shallow upper dermal layer, ensuring accurate placement. High-Speed Delivery: Capable of up to 40 injections per second, allowing for a full facial treatment in approximately 5 minutes. Versatile Application: Suitable for a wide range of aesthetic solutions, including PRP, vitamins, glucose, hyaluronic acid, and PDLLA. Enhanced Control: Offers superior precision in targeting specific skin layers and controlling the exact amount of drug delivered compared to traditional methods. Minimized Discomfort: Needle-free technology ensures minimal pain, with fast recovery times and reduced downtime. Needle-free, Laser Injector, Asthetic, Drug Delivery System Personal Care, Cosmetics & Hair, Wellness & Spa, Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

Pollution in oceans and rivers is a global concern due to contaminants like oil spills and microplastics, which harm biodiversity. In response to marine pollutions, extensive human and technological resources are typically deployed to mitigate the situation, this includes absorbent, oil skimmer machineries, drones or vessels depending on the complexity of required clean-ups, resulting it being costly and time consuming. Designed and developed by a Korea-based startup, the technology proposed herein is a robot deployed onto the water surface to efficiently recovers pollutants autonomously with minimum human intervention. Unlike conventional pollution recovery equipment that uses additional devices connected by hoses, the robot combines the recovery of pollutant, transportation and storage of pollutants into a single robot device that can travel up to 1000 m range. The robot is equipped with a proprietary hydrophilic ratchet-based contaminant recovery technology, which generates a flow that sucks water through the movement of a hydrophilic material and controls the attachment and detachment of contaminants on the surface of the material by capillary force. This proprietary recover technology enables the robot to recover bunker fuel spills including high viscosity low sulfur fuel oil (LSFO), low viscosity heavy fuel oil (HFO), diesel, as well as microplastics in an efficient manner. The technology owner is seeking to collaborate with companies that provides marine pollution control/recycling service and government agencies to conduct a pilot trial in Singapore, with an option to further co-develop and integrate technologies that enhances the capabilities of the robot, such as identification of marine pollutants. Two solutions were offered: Oil skimming robot: 100 kg remote controlled robot of up to 1000 m operating range. About 1.0 ton of recovered oil/contaminant storage tank and process up to 26.6 kL/h. Capable of unmanned/autonomous/remote operation with minimum supervision. Field demonstration performed in river, harbour, and open sea in Asia and Middle East. Ocean cleaner robot: 45 kg remote controlled robot of up to 1000 m operating range. About 0.2 ton of contaminant storage tank and process up to 2 ton/h. Both solutions work in tandem with an air drone that pins a GPS location where pollutants are found. The information is then relayed to the robot for its autonomous navigation to its target location for its operation. The robots can be deployed for floating pollutants recovery from the surface of the water, such as rivers, beams, dams, and oceans. Pollutants that can be recovered include high viscosity low sulfur fuel oil (LSFO), low viscosity heavy fuel oil (HFO), diesel, microplastics of 0.001-5 mm, etc. A ratchet-shaped material that enhances the effect of attracting water to hydrophilic porous materials to optimise the recovery of marine pollutants in an autonomous robot. Marine Waste Management, Marine Pollutants, Marine Pollutant Recovery Robot Environment, Clean Air & Water, Mechanical Systems

Eldercare centres have a unique structure due to the several variables & constraints regarding the elder and service type. Unlike the other item or passenger transportation problems, the eldercare industry does not have a standard approach to match the number of elders and vehicle capacity because some elders are transported by a wheelchair which covers approximately two seats, whereas the others may be ambulant. In addition, for some cases, such as an elder with dementia, a caregiver may accompany the elder, making the capacity-elder match more complicated & dynamic per vehicle trip. Considering this capacity utilization problem in the eldercare & healthcare industry, this technology was developed, which is a routing algorithm that optimally matches the number of elders and vehicle capacity to minimize the number of vehicles deployed per trip while maximizing vehicle utilization by providing the minimum travel distance and travel time. As a result, eldercare service providers will provide faster services to customers and reduce their outsourced vehicle costs. The routing optimization model was designed to improve the transportation service quality eldercare centers by focusing on: Optimal elder routing & sequence per vehicle trip Database structure to eliminate manual workload Optimal vehicle scheduling Operational KPIs structuring The algorithm is able to be integrated as a microservice under a platform interface whereby all applications are accessed & monitored by the end-user. The capacitated vehicle routing problem with time windows (CVRPTW) has a wide range of applications where each customer service should start at a specified time window. In this technology,  CVRPTW was adapted into eldercare transportation cases considering the particular specifications such as elder type as ambulant, with wheelchair, service type as daycare or rehab and caregiver accompaniment. As a result of the model, approximately a 20% improvement was observed in travel distance and travel time per vehicle trip for some centers. Routing optimization of elderly to and from eldercare homes. Data Bridge Market Research analyses that the elderly care market which was USD$832.8 billion in 2021, would rocket up to USD$1,268.43 billion by 2029, and is expected to undergo a CAGR of 5.40% during the forecast period 2022 to 2029. High customization for the eldercare sector: No requirement for further customization, time and resource-saving Niche product: Low level of competition, similar algorithms need to be customized first for the specific considerations of the eldercare industry Optimal output: Proof of the model reliability, safe to implement Integrability: Flexible to interact with other applications Infocomm, Artificial Intelligence

Businesses generate and store large amounts of data daily, typically from multiple systems and sources. These data are only accessible within respective systems with most stored and not fully utilised to improve business productivity. The technology is developed to introduce an AI-based solution to help enterprises digitalise, automate their workflow and utilise their available digital data. This empowers businesses to gain actionable data insights in minutes, allowing your organization to make informed, data-driven decisions. This AI technology solution enables companies to harness the benefits of AI without the need for costly and specialised developers or data scientist. The company is looking for collaborative partners across various industries looking to explore AI solutions for digital data consolidation, workflow automation and full utilisation of internal digital datasets for business optimisation. The technical specifications and features of this SaaS AI solution are as follows: Built-in automated machine learning (AutoML) AI algorithm that automatically constructs and generate the suitable AI model based on the available datasets Enable real-time data processing, predictitive analytics, and tailored insights to empower organisations to make informed, data-driven decisions quickly and efficiently User-friendly design that does not require personnel with AI expertise to use the platform Large Language Model (LLM) agent chat for pulling up relevant contextualised information Visualisation tools to represent data, such as charts, tables, dashboard and reports Autoscaling for future expansion with secure data storage The company currently have tested their technology solution across various industries (healthcare, supply chain, life sciences, manufacturing and finance). This technology solution can be utilised in industries such as: Retail and consumer goods Insurance Energy & utilities Agriculture & food production Automotive, transport & supply chain The technology solution provides users with valuable data-backed insights using automated AI Machine Learning (AutoML) models without needing expensive consultants, developers or a team of data scientists. It can consume any data source, deploy an optimised data model in minutes, vectorize with nearest-neighbour algorithms, and then allow the user to build analytics and chat with the data with LLM, AI fine-tuning and AI-specific agents in minutes, all with secure data management, and a high performance, highly scalable trusted cloud offering. Data Management, LLM, Data Insights, AI Agents, Machine Learning, Auto Analytics Infocomm, Artificial Intelligence, Enterprise & Productivity, Data Processing

A Digital Twin is a digital representation of a physical object or system, often used in various industries for simulation, analysis, and monitoring. In the built environment, which encompasses everything from buildings and infrastructure to urban planning, Digital Twins have a wide range of potential applications that can significantly enhance efficiency, sustainability, and overall quality of life. Digital twins have emerged as a transformative concept in the built environment, revolutionizing how buildings, infrastructure, and cities are designed, constructed, and managed. This innovative technology leverages the power of digital simulations and real-time data to create virtual replicas of physical assets, offering numerous benefits across various sectors within the built environment. The technology owner is seeking co-development partnerships with building owners, facity management companies, smart city or urban planners to adopt their digital twin technology in achieving their sustainability objectives. Digital twin model development & data gap report This stage involves the creation of a baseline digital twin of the proposed facility. Measured performance data input This involves gathering measured data from various sources. This would be the building BMS system and/or any other source of live or streaming operation data. Model calibration This includes the testing of the model with logic checks and balances to verify the basic inputs. Actual building experience and monitored data will be used to make any final adjustments and calibration so that the virtual model outputs align closely to reality. Analysis & diagnosis Once the baseline model is complete and confidence exists as to its validity from the calibration accuracy (over 95% accuracy), the model can be used to run “what-if” scenarios for the future. Retro commissioning (RCx) i.e. change in operations without any additional investment options will be analysed. Corrective action The team will develop a set of bespoke/customized alarms, alerts and control rules to continuously optimize building energy performance using real-time data. Deployment A workshop will be conducted to make the participating stakeholders aware of the digital twin process. Required software access as well as the user guides will be shared during the deployment. Monitoring The final stage will be the monitoring of the digital twin post-implementation. Some key potential applications for Digital Twins in the built environment: Architectural and Urban Planning: Digital Twins can be used to create virtual models of cities, allowing urban planners and architects to simulate and visualize different design scenarios. Energy Efficiency and Sustainability: Digital Twins can be used to model and simulate a building's energy consumption and environmental impact. Facility Management: Once a building is operational, Digital Twins can be used for ongoing facility management. Smart Cities: Digital Twins can serve as the backbone of smart city initiatives. By creating digital replicas of urban infrastructure and systems, city authorities can monitor traffic flow, manage waste collection, and respond to emergencies more effectively. Real Estate Development: Developers can use Digital Twins to create virtual walkthroughs of properties, allowing potential buyers or tenants to explore spaces before they are built. The Digital Twin industry is growing phenomenally, the Digital Twin Market size is expected to reach 63.5 Bil USD by 2027. The number of cases using digital twins for implementation is likely to go up to 23% in 2024 from 10% in 2021. The opportunities to use a digital twin in a built environment are quite a few: Building Performance Optimization: Digital Twins allow for continuous monitoring of a building's performance, including energy consumption, HVAC systems, and structural integrity. Sustainable Building Practices: With increasing emphasis on sustainability, Digital Twins can facilitate the design and monitoring of green and sustainable buildings. Urban Planning and Smart Cities: Digital Twins extend beyond individual buildings to entire urban environments. Cities can create virtual replicas of their infrastructure to optimize traffic flow, manage resources efficiently, and improve the overall quality of life for residents. Real Estate and Property Management: Property owners and managers can use Digital Twins to enhance tenant experiences, monitor building health, and predict maintenance needs. Facility Maintenance and Operations: Digital Twins provide real-time insights into the condition of assets within a facility. Data-Driven Decision-Making: The wealth of data generated by Digital Twins allows for data-driven decision-making at all stages of a building's lifecycle. Integration with IoT and AI: The combination of Digital Twins with the Internet of Things (IoT) and Artificial Intelligence (AI) technologies further enhances their capabilities. Improved Design and Simulation: Architects and engineers can use Digital Twins to experiment with different design concepts and test how they perform in various conditions. This allows for better optimization of building systems, materials, and energy usage, resulting in structures that are more sustainable and resilient. Real-Time Monitoring and Maintenance: Once a building is operational, the Digital Twin continues to add value by collecting and analyzing real-time data from sensors and IoT devices. Energy Efficiency: Digital Twins can optimize energy usage by analyzing data from sensors that monitor temperature, humidity, occupancy, and more. Cost Savings: By preventing errors, reducing downtime, and improving energy efficiency, Digital Twins can generate substantial cost savings over the entire lifecycle of a building or infrastructure project. Sustainability: Digital Twins enable sustainable design and operation by allowing architects and engineers to assess the environmental impact of their decisions. Risk Management: By simulating different scenarios and continuously monitoring a building's performance, Digital Twins can help identify potential risks and vulnerabilities, allowing for proactive risk management and disaster preparedness. Remote Collaboration: In an increasingly globalized world, Digital Twins facilitate collaboration among teams located in different parts of the world. Data-Driven Insights: Digital Twins generate vast amounts of data, which can be leveraged for data-driven insights and machine learning applications. Green Building, Sensor, Network, Building Control & Optimisation

In modern healthcare, remote patient monitoring is increasingly important, offering significant advantages in patient care and accessibility. Non-contact monitoring reduces the need for physical interaction, crucial during infectious disease outbreaks or in intensive care units. It also allows for discomfort-free monitoring, making it ideal for vulnerable populations like the elderly, infants, and critically ill patients. This technology is particularly valuable in settings where traditional contact-based methods are impractical, such as in telemedicine and home care. Additionally, it reduces the need for multiple devices to measure various bio-signals, streamlining processes and cutting costs. The technology utilises remote photoplethysmography (rPPG) to measure bio-signals without attaching any sensors. rPPG technology works by analyzing subtle changes in the light reflected from a person's skin, which are correlated with underlying physiological signals. By utilizing standard cameras and sophisticated signal processing algorithms, rPPG can accurately capture and interpret these bio-signals from a distance, offering a convenient and reliable alternative to conventional methods. This technology can measure pulse, oxygen saturation, and blood pressure as raw data and analyze it to measure stress index, drowsiness index. The technology owner is seeking collaborators in: Transportation Companies or Automotive Manufacturers: To enhance mobility services by integrating driver bio-signal and drowsiness monitoring, providing a safer and more innovative driving experience. Healthcare and Telemedicine Providers: To improve the quality of remote healthcare services through continuous biometric signal monitoring and non-face-to-face consultations, particularly for home care and telemedicine. Insurance Providers, Daycare Centers, and Health & Wellness/Fitness Apps: To expand current health and wellness offerings by incorporating bio-signal measurement technology into fitness apps, smart appliances. Measures pulse, oxygen saturation, blood pressure, temperature, as raw data and analyze it to measure stress index, drowsiness index. [Accuracy] pulse: 99%; oxygen saturation: 99.5%; blood pressure: 95%. The same software can also be used for in bio-signal based security and attendance management technology in the prevention of face forgery and alteration, security access control. The measurement speed for one-time measurement is less than 4seconds (excluding blood pressure) but for real-time measurements, it is within 10seconds (including blood pressure). Able to work in low lighting conditions (night), using both RGB and IR cameras and compatible with low-spec hardware such as inside a car. Compatible with various operating system such as Andriod, iOS, windows and Linux. A breathalyzer can be incorporated into the system. This technology enables non-contact, remote, unobtrusive monitoring in both clinical and non-clinical environments that is able to work reliably in poor external conditions (variation in light and movement). 1) Transportation Companies or Automotive Industry The technology can be integrated into vehicles to monitor the driver’s health and alertness. By measuring bio-signals and potentially incorporating add-on modules like breathalyzer, it helps prevent safety accidents caused by fatigue or impaired driving. This application holds significant potential for expansion in the era of autonomous driving, where continuous monitoring could enhance both safety and user experience. 2) General Health, Wellness, and Sports This technology can be embedded into smart appliances (mirrors), health & wellness app. By monitoring vital signs, it can provide personalized services such as tailored exercise routines or cooking recipes based on an individual’s health conditions. This approach enhances daily health management and contributes to overall wellness. 3) Child Development and Elderly Monitoring For child development, the technology can be integrated into various video content, enabling the measurement of vital signs while children watch or play, thereby assessing their growth, nutrition, and mental state. Similarly, it can be used for elderly monitoring, particularly for those who might be in the blind spots of healthcare, ensuring their well-being and providing timely health interventions. 4) Remote Health Monitoring and Telemedicine Medical facilities can employ this technology for remote patient monitoring and telemedicine. By establishing continuous health monitoring capabilities, it supports the development of smart medical systems that facilitate non-face-to-face medical treatment and contactless measurement of vital signs. This not only reduces the workload on medical personnel but also offers patients a more convenient and efficient way to manage their health remotely. Fast measurement speed in less than 10 seconds, pulse and oxygen saturation can be measured within 4 seconds Able to measure even in low light conditions (night) and can be extended to security solution Compatible with most operating system and able to utilize cameras/ hardware on existing smart phones Able to measure in real time The collected raw data collected can be used to analyze and give information on BMI and blood sugar (still in development)   Health and Wellness, Non-sontact, rPPG, Telemedicine, Automotive, Health monitoring, Stress, Blood pressure Infocomm, Video/Image Analysis & Computer Vision, Big Data, Data Analytics, Data Mining & Data Visualisation, Artificial Intelligence, Healthcare, Telehealth, Medical Software & Imaging, Healthcare ICT