TECH OFFERS

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

This technology provides simple, practical, and reliable IoT solutions designed for seamless integration and easy deployment across various industries, including Facility Management, Smart Cities, Asset Tracking, and Digital Healthcare. The solutions are designed for high reliability and low total cost of ownership, featuring easy deployment that requires minimal technical expertise. The technology is built with a carrier-grade design approach, ensuring robust performance and exceptional system longevity. It supports extensive scalability and security features, making it ideal for both public and private network operators. The flexible architecture allows for integration with existing digital infrastructures, facilitating improved operational efficiency and data-driven decision-making, and driving forward the digital transformation agenda This offering is particularly suitable for enterprises seeking to implement smart technologies in utilities, facility management, healthcare systems, and industrial IoT environments. The technology consists of IoT gateways and sensors leveraging LoRaWAN technology, known for its low power consumption and long-range connectivity advantages. The system features include Carrier-Grade design, advanced data analytics, and extensive scalability. It is secured with strong protocols, ensuring data integrity and privacy. Ideal collaboration partners are telecommunications operators, urban planners for smart city initiatives, healthcare institutions advancing in digital solutions, and enterprises looking to deploy their own private IoT networks. These partners will gain from the technology’s low-power, long-range capabilities, allowing them to deploy low-maintenance solutions over large areas. This IoT technology, utilizing LoRaWAN’s capabilities, is versatile enough for deployment across multiple sectors. Key industries include: Smart Cities: Enhancing urban infrastructure through applications like smart utilities, traffic management, environmental monitoring, and public safety systems. Facility Management: Optimizing operations in commercial and residential buildings through energy management, predictive maintenance, property protection (ie. leak monitoring) and security systems. Healthcare: Deploying digital healthcare solutions such as remote patient monitoring, medical asset tracking and environment monitoring Utilities: Facilitating smart grid technologies, water management solutions, and utility usage monitoring to improve efficiency and reduce operational costs. Agriculture: Supporting precision agriculture techniques with soil monitoring, crop health tracking, and automated irrigation systems. The technology owner is seeking collaboration with deep-tech companies specialising in AI development for IoT applications to enhance the value of their solutions. Specifically, they aim to partner with experts in on-device or edge AI for low-power operations, focusing on areas such as anomaly detection, predictive maintenance, and sensor data analysis. Additionally, they are looking for partners with expertise in cloud-based AI to improve data processing, model training, and analytics capabilities. The technology owner is focused on expanding into new markets, particularly in the ASEAN region, and is seeking local collaborators with strong R&D capabilities, deep market knowledge, and a proven track record of success. By working together, they aim to tailor solutions that meet the specific needs of these markets, driving innovation and ensuring a competitive edge. This technology significantly advances the state-of-the-art in IoT solutions through its use of LoRaWAN technology, which provides unique benefits over traditional IoT systems: Extended Range and Penetration: Unlike conventional Wi-Fi or cellular-based IoT systems, LoRaWAN offers a far reaching signal that can penetrate dense urban infrastructures and reach rural areas without requiring extensive power or infrastructure, making it ideal for wide-area IoT applications. Low Power Consumption: The technology is designed for minimal energy use, enabling devices to operate for years on a single battery charge. This is a critical advantage for IoT applications where frequent battery changes are impractical, such as in environmental sensors or remote locations. High Network Capacity: It supports thousands of nodes over a single network without significant loss of performance, catering to the growing demands of urban developments and large-scale industrial deployments. Cost-Effectiveness: The setup and operational costs are significantly lower than those of traditional cellular networks, providing a more affordable solution for businesses and municipalities looking to implement IoT solutions. IoT, IIoT, Wireless Technology, Facility Management, Assest Tracking, Smart Buildings, Smart Cities, Digital Medicine, Digital Healthcare Green Building, Sensor, Network, Building Control & Optimisation, Indoor Environment Quality, Infocomm, Internet of Things, Smart Cities, Logistics, Inventory Management

With mounting concerns regarding the environmental and health impacts of conventional chemical pesticides, there is a noticeable shift towards biological alternatives. This trend is fueled by a global demand for sustainable agricultural practices and safer, more environmentally-friendly produce. However, a significant challenge persists: the comparatively lower efficacy of biological pesticides. This technology addresses the challenge of low efficacy in biological pesticides, often caused by environmental factors such as heat, UV exposure, and runoffs, especially prevalent in tropical regions. It utilises plant-derived, biodegradable materials to encapsulate the biological pesticides, protecting them from environmental factors, thereby extending their residual treatment effect and reducing usage volumes and re-application frequencies.  Plant-derived, biodegradable encapsulation material Compatible with commercialised biological pesticides (e.g., bacillus thuringiensis) Simple, one-step encapsulation process completed within 15 minutes using existing mixing apparatus Compatible with existing application equipment such as backpack sprayers and drones Imparts rainfastness within 1 hour Sustains residual effect for up to 3 months per treatment The technology demonstrates versatility, with potential applicability in tackling an array of agricultural challenges such as diseases, weeds, and nutrient deficiencies. It is also applicable for commercialised insecticides such as chlorantraniliprole and imidacloprid. Tailored to address challenges specific to tropical agriculture Enhances efficacy of biological pesticides Reduces biological pesticide consumption Lowers re-application frequencies, minimising costs and labor requirements agriculture, agritech, agrifood tech, agrifoodtech, food security, climate change, encapsulation, agrochemical, crop care, crop protection, herbicide, insecticide, fertiliser, fertilizer, pesticide, fungicide, bagworm, delivery technology, precision delivery, delivery, farming solution, foliar spray, biologicals, bacillus, bio, bio-based, bacteria, fungi Chemicals, Agrochemicals, Life Sciences, Agriculture & Aquaculture, Additives, Bio-based, Sustainability, Food Security

Industries such as retail, transportation, worksites, and law enforcement increasingly demand robust safety and security solutions. Organizations managing multiple CCTV systems and vast video datasets need advanced video analytics for early threat detection, real-time monitoring, and informed decision-making. Cost-effective solutions that ensure data integrity and regulatory compliance are crucial. Without advanced analytics, organizations face challenges like slow manual reviews, limited real-time alerts, and delayed insights, which hinder timely incident detection and response. The intelligent video deep search and analytics solution addresses these issues by leveraging AI technologies such as deep learning, computer vision, and NLP. It enables real-time processing, quick text-based searches, and accurate detection of objects and behaviors. The code-free alert system allows for rapid deployment without technical expertise, enhancing surveillance capabilities, operational efficiency, and overall security. Intelligent Deep Search: AI-powered algorithms enable text-based searches of unstructured video datasets, enhancing efficiency and situational awareness. Real-time Processing and Monitoring: Advanced deep learning instantly processes vast video data, providing immediate access to information and improving real-time situation awareness for rapid response. Accurate Detection and Early Warnings: High precision in detecting, classifying, and tracking objects, individuals, and behaviors, with proactive alerts for potential threats. No-code AI Alerts: User-friendly, code-free alert system powered by NLP allows easy setup of predefined alerts. Pattern Analysis and Decision Support: Analyzes video data to identify patterns and trends, aiding informed decision-making. Resource Optimization: Cost-effective solutions optimize resource use without sacrificing performance. Data Integrity, Security, and Scalability: Ensures regulatory compliance and trust with robust data integrity and security, efficiently managing multiple CCTV systems and large video datasets. Two potential applications to showcase the use of the technology are given below. Transport Hub:In busy transportation hubs, AI-powered video deep search enhances security and efficiency. By inputting simple text prompts like "person with a red backpack" or "suspicious activity near entrance," the system can quickly detect and locate the video frame that identifies persons of interest, lost items, or potential threats. This technology also improves crowd management and passenger flow, boosting overall safety and experience. Shopping Mall:In shopping malls, video analytics provide key insights into customer behavior and enhance security. Advanced systems monitor foot traffic and peak hours, optimizing store layouts and staffing. They also track customer demographics and behaviors for targeted marketing. On the security side, real-time detection of suspicious activities or unauthorized access enables immediate responses, creating a safer, more efficient environment for shoppers and staff. The global video analytics market is expected to grow from US$10.1 billion in 2024 to US$22.6 billion by 2028, at a CAGR of 22.3%. Rising safety concerns in sectors like critical infrastructure, transportation, and retail are driving demand for advanced video analytics. The growth of smart cities and widespread IoT adoption further fuel the need for enhanced urban management and safety. Additionally, advancements in AI and deep learning, now more affordable and accessible, are set to accelerate global adoption of video analytics. Search by Text/Image: A multimodal pre-trained model combines natural language processing and computer vision, enabling advanced searches beyond traditional filtering and keywords. Zero-Shot Learning: The system quickly and accurately analyzes video content, delivering relevant search results without prior training. Semantic Understanding: Capable of identifying persons of interest, objects, scenes, behaviors, actions, and contextual meanings of text. Real-Time Alerts: Allows no-code input of predefined occurrences via NLP, sending notifications when events happen. Plug-and-Play & Privacy-Preserved: An on-premise system that requires no additional machine learning, ensuring privacy and ease of deployment. Intelligent Video Deep Search, Deep Learning, Computer Vision, Natural Language Processing, NLP, Object Tracking, Surveillance, Safety, Security, CCTV, Early Warning, Situational Awareness, Video Analytics, Text Query Search Infocomm, Security & Privacy, Video/Image Analysis & Computer Vision, Artificial Intelligence

In recent years, current geopolitical tensions and global events have disrupted global supply chains. Companies are now re-evaluating their sourcing strategies, like “China+1” in ASEAN counties, to diversify and strengthen resilience in their supply chain. The company has launched an Artificial Intelligence (AI) based proprietary solution, comprising of an extensive supplier sourcing platform and a one-stop knowledge instructor for all supplier-related queries. The solution's strength lies in offering audited suppliers, backed by human verification, and contextualised insights for any supplier-specific query, ensuring a more comprehensive and reliable sourcing process. Through these, it enhances the resilience and operational flexibility of any core sourcing operations within enterprises. This technology has been involved in several validation proof of concept (POC) projects across various global markets. The company is seeking collaboration partners, such as industrial players, who wishes to explore this supply chain solution for any industrial-specific sourcing hurdle within their respective market. The advanced AI-based proprietary solution is designed to follow the "chain of thoughts" of an expert buyer, retrieving information from multiple data sources and making judgments/decisions in an automated workflow. This supplier chain technology enables users to have a competitive edge through: Being adaptable to different markets Listing of curated global suppliers based on any particular supply chain need across numerous industries Showcasing of verified suppliers and their respective certifications (e.g. ISO) The specifications for these features are based on its AI-based solution: Large Language Model (LLM) to leverage for structured and unstructured raw data for data aggregation to execute data insights AI agent framework with integration of inputs from human expertise for value-add decision making Reinforced Learning from Human Feedback (RLHF) loop to refine process Companies with a global supply chain can utilise this technology to enhance supply chain resilience and efficiency. Some examples are: Electronics Manufacturing: Optimizing supplier sourcing and ensuring the reliability of supply chains. Chemical Industry: Enhancing supplier verification and risk management. Mechanical Engineering: Streamlining the sourcing process and improving supplier evaluations. Aviation: Ensuring reliable and secure supply chains for mission-critical components. Renewable Energy: Navigating the nascent supply landscape for emerging technologies. This technology offers a significant improvement over current state-of-the-art sourcing solutions by integrating advanced AI capabilities with a robust RLHF loop, ensuring the AI agents operate with expert-level judgment and decision-making. This unique approach combines aggregated data with human verification, providing a comprehensive and reliable solution for supplier sourcing. This technology mirrors the workflow of a seasoned sourcing specialist that works alongside existing procurement processes, enhancing the accuracy and reliability of any sourcing decisions. The technology’s ability to adapt to different markets and its applicability across various industries enable manufacturers seeking resilient and efficient supply chain solutions in a complex geopolitical landscape to thrive. Procurement, Supplier Database, Supplier Audit, Supply Chain Logistics, Planning & Order Processing, Delivery & Distribution

We are an advanced maritime forecasting platform that leverages cutting-edge artificial intelligence (AI) and machine learning (ML) to provide highly accurate predictions for the shipping industry. The platform's AI-driven models analyse vast amounts of historical data, along with current market conditions, to predict short-term, medium-term, and long-term trends. The technology help companies reduce costs, optimize operational efficiency and manage risks, allowing them to make proactive decisions The core of the technology is its AI-driven software, which uses sophisticated machine learning models to analyse vast datasets related to maritime shipping. These algorithms are designed to process and learn from historical data, market variables, and external factors to generate highly accurate forecasts for freight rates and other market trends The technology employs advanced data mining techniques to gather and analyse data from various sources, including historical market data, economic indicators, and shipping data. These tools help the AI algorithms identify patterns and relationships that are crucial for making accurate predictions Shipping Companies and Fleet Operators: Would benefit directly from the predictive insights of the technology. By integrating the technology, shipping companies can optimize their fleet management, route planning, and maintenance scheduling, leading to cost savings and increased operational efficiency Financial Institutions and Investors: Banks, hedge funds, and other financial institutions involved in maritime investments could benefit from the technology. The technology can provide them with accurate forecasts that inform investment decisions, risk management, and market analysis, thereby improving their return on investment (ROI) Maritime Data Providers and Analytics Firms: Collaborations with other data providers can enhance the accuracy and scope of the predictions. Partnerships with firms that specialize in maritime analytics or data collection can provide additional data sources, which would further refine the AI models. It is a first of a kind technology capable of predicting freight rates on a short, medium and long term basis. It also has a minimum of accuracy of 90%, available on over 160 different shipping routes. This is especially impressive given the extreme volatility of the maritime industry. Infocomm, Artificial Intelligence

The future of hardware interfaces is being redefined by this patented polymer-based platform technology, which features innovative design interactions, unique technology, lower costs, reduced size and weight, and enhanced sustainability. This patented touch-sensitive technology enables innovative solutions using conductive polymeric materials, interpreting touch location, gestures, and pressure through signal processing and machine learning. This solution simplifies manufacturing, boosts durability and sustainability, and saves clients at least 20% compared to traditional costs. Creating advanced, cost-effective touch interfaces is challenging due to traditional buttons and multiple sensors. The solution simplifies this with a single flexible touch-sensitive material and AI algorithms, which precisely detect touch interactions on large surfaces. This approach offers clients customizable 3D interfaces, reduces component failure, enhances sustainability, and enables easy recycling. Customizable Sensors: Create sensors with industrial-grade plastic materials, giving manufacturers full control over design and styling. Cost Efficiency: Reduce assembly process costs by two-thirds by eliminating the need for printed metallic discrete sensor networks. 3D Seamless Surfaces: Produce waterproof, durable, 3D seamless surfaces that offer more intuitive operation. Versatile Integration: Work with various 'A' surfaces (wood, fabric, stone, glass) using their proprietary polymer-based sensing layer. Current industries: Automotive/Mobility Medical/Sport Consumer Electronics The technology enables applications such as: Making appliances and surfaces smart with appealing finishes Enhancing tactile gaming and VR controllers Creating pressure mapping surfaces and medical devices that monitor user behaviors Developing ergonomic, user-friendly consumer products accessible to the disabled, visually impaired, elderly, and children. Current market solutions, such as printed electronics, mechanical switches, mechatronic switches, and in-mold electronics, have clear limitations that the proposed solution addresses effectively. Core Benefit Areas: Cost reduction on the usual bill of materials Increased design form and interaction options (sensify new shapes) Increased sustainability Waterproofing Durability Reduced device size, weight, and component complexity The proposed solution offers significant improvements over mechatronic switches in several areas: complexity, cost, power consumption, reliability, maintenance, latency, environmental sensitivity, customization, design constraints, compatibility, cost of repair, and noise. Electronics, Sensors & Instrumentation, Infocomm, Augmented Reality, Virtual Reality & Computer-Simulated Environments, Artificial Intelligence, Healthcare, Medical Devices, Robotics & Automation

Strongly corrosive acids and highly toxic cyanide-based solutions are currently the most commonly used lixiviants for extraction of silver from solid wastes through hydrometallurgy. While acids are generally able to achieve high extraction of silver, it is non-selective and leaches most of the other metals present, resulting in a complex mixture that needs rigorous segregation and purification downstream. Cyanide solutions are comparatively more selective towards silver but require costly safety infrastructure and measures to be put in place as they generate large amount of hazardous wastes.          The lixiviant developed offers a more user and environmentally friendly means to efficiently extract silver selectively from silver-coated solid waste. The formulation is free of cyanide and omits the use of any strong acids, making it relatively easy to handle and eliminates the safety, health and environmental problems associated with the use and post-treatment of conventional lixiviants, as the waste stream is mildly acidic and can be easily treated as normal acid waste. The raw chemical materials are also easily available in the market. The technology provider is seeking industry partners to test-bed the lixiviant and is open to license the technology to interested partners. Free of cyanide Contains low concentrations of organic acids and no strong acids Non-fuming and extracts under mild temperatures ≤ 40°C Contains stabilisers to reduce reagent consumption Allows high purity silver to be recovered from the leachate by conventional means such as precipitation & reduction ≥97 wt.% of silver extracted with saturation concentration of >10 g/L at 40°C Extraction is fairly selective, with silver constituting a major 85 – 98% of the metals leached This technology can be applied for extraction of silver from: Electronic wastes, such as printed circuit boards, connectors, lead frames etc. Industrial wastes, such as photographic films, solar panel wafer etc.  Recovered silver can be sold or recycled for other uses. Silver is widely used in the manufacture of numerous products such as electrical and electronic devices, photovoltaics (PV) modules, solders, photographic films and jewelleries. The demand for silver is forecasted to grow with its use in 5G-infrastructure and upcoming intelligent electronics, as well as in PV modules as more countries adopt renewable energy to counter climate change.     To meet the increasing demand for silver, recycling from secondary sources such as electronics and industrial wastes is essential. Increasing regulations put up worldwide that mandate the recycling of electronic wastes, accounts for the bulk of secondary sources of silver. Hydrometallurgy offers a way to recycle silver at a relatively low cost and smaller scale. With the employment of an effective lixiviant that is able to achieve high and selective extraction of silver from these secondary sources, it ensures that the most value is drawn from them. Additionally, the omission of strong acids and cyanide in the lixiviant eliminate the need for costly safety infrastructure and treatment of toxic waste streams generated.  Lixiviant can be directly employed in existing operating line Works under mild operating conditions Does not generate highly toxic waste streams Recovered silver in high purity Silver-Coated Solid Wastes Chemicals, Organic, Waste Management & Recycling, Industrial Waste Management

In recent years, with the increasing use of the Internet of Things (IoT), the number of information devices, including sensors, has risen significantly. This surge has led to challenges in battery replacement, charging, and power wiring for these devices. To address these issues, there is a growing demand for wireless power transfer technology. Traditional wireless power transfer technologies, such as smartphone charging systems, have primarily focused on supplying power over short distances. This limitation makes them unsuitable for devices installed over wide areas, such as IoT devices. In response, the development of long-distance wireless power transfer technology using microwaves has emerged. However, the amount of power that can be transmitted is constrained due to concerns about the effects of microwaves on human health and other communication devices. The developed microwave power transmission technology can efficiently transmit power using low-power microwaves within regulated limits. This advancement allows the use of devices like sensors as power sources even in environments where people and communication devices are present. The technology owner is seeking collaboration with IoT solution providers, platform providers, system integrators, and sensor manufacturers. The technology consists of a transmitter and multiple receivers. One transmitter can provide power to several receivers over a certain distance. Additional transmitters can be added if the total power demand of the receivers exceeds the limit. It is designed to solve power supply problems for IoT devices by efficiently and stably converting Radio Frequency to DC power. Small and High-Efficiency Reception: Advanced antenna design technology combines compact size with high efficiency, enabling the device to receive even weak microwaves despite its small size. Long-Distance Transfer: Innovative circuit design technology converts low-power microwaves within regulated limits into stable, efficient DC power, allowing the power supply to multiple receiving devices within a range of up to 10 meters. High-Speed Distributed Control: Further technological advancements facilitate the distributed cooperative control of multiple low-power transmitters. This enables the rapid formation of power concentration spots and the ability to follow human movement seamlessly. This technology can serve as a power source for IoT sensors where battery replacement and wiring are challenging. Applications include: Manufacturing Sites: Sensors attached to the moving parts of production equipment and robots. Infrastructure Inspection: Sensors for inspecting infrastructure facilities that are difficult for humans to access. Nursing Care Monitoring: Wearable sensors for monitoring the elderly. Office Environments: Numerous sensors collecting environmental information in office settings. With existing wired IoT sensor deployments, a sizable amount of budget and deployment time is required for installation, cabling, or regular replacement of batteries. This wireless charging technology enables wireless-power sensor deployments, reducing the complexity of wiring infrastructure, deployment time, and associated cabling and labor costs. Compact Design for Versatile Installation: The small size of the receiving devices allows for installation in confined spaces, offering greater flexibility in system design and integration. Efficient Power Distribution: Simultaneous power transmission to multiple receiving devices over a broad area minimizes the need for extensive wiring and frequent battery replacements. Advanced Power Management: Technological advancements in distributed cooperative control enable targeted power delivery to specific devices, making it ideal for applications that require higher power.  Wireless Power Transfer (WPT), Microwave Wireless Power Supply, Wireless Charger, Power transmitter & Power Receiver, IoT Sensors and Sensor Network Electronics, Power Management, Green Building, Indoor Environment Quality, Infocomm, Internet of Things, Wireless Technology