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The aquaculture industry is facing rising costs of conventional feed. Premium protein sources such as fishmeal and fish oil are highly price-volatile due to fluctuating supply and demand, and reliance on imported feed further increases costs. Another key challenge is the growing volume of food waste. A survey of local food processing companies conducted between August 2022 and June 2023 identified approximately 174,300 tonnes of homogeneous food waste, highlighting the scale of the problem.  This technology offers a sustainable aquafeed solution by converting by-products from soy sauce production, fish processing, and bread waste into nutritionally balanced feed for tilapia (O. niloticus), maintaining optimal growth performance while reducing dependency on conventional, expensive feed ingredients.  The technical specifications and features of the solution are as follows:  Processing: Transforms readily available soy press cake, fish processing waste and bread into aquafeed through low-shear mixing, fermentation, spheronization and pelletization.  Formulation: Provides feed formulation designed specifically for tilapia, incorporated with essential proteins, amino acids, carbohydrates, lipids, vitamins, and minerals.  Pellet properties: Produces water-stable sinking pellets with enhanced physical stability and controlled nutrient leaching properties  Quality control: Ensures consistency through physical profiling, nutritional analysis  This feed has been formulated for tilapia, but is open to reformulation to allow opportunities in: Feed for other types of fish species Ingredient for further development of fish feed Development of feed for other animals whether it is farm or pets Upcycling of food waste into higher value products  Accelerate the R&D cycle and start with a proven sustainable aquafeed formulation that delivers better growth at a lower price Reduces feed costs through the utilisation of low-cost waste ingredients Supports circular economy by converting food waste into valuable resources Provides nutritionally complete feed specifically formulated for tilapia Contributes to meeting sustainable certification standards like ASC (Aquaculture Stewardship Council) or BAP (Best Aquaculture Practices) Sustainable Aquafeed, Food Waste Valorisation, Tilapia Feed, Circular Economy, Waste-to-feed, Aquaculture Sustainability Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Circular Economy

The agriculture sector faces a double challenge: rising animal feed costs and unsustainable food waste management. For many livestock farmers, feed accounts for up to 70% of operating costs, with heavy reliance on volatile imports like soybean meal, corn, and fish meal. At the same time, the food and beverage industry generates millions of tons of nutrient-rich by-products such as okara, spent grain, and fish offal, much of which is discarded—causing methane emissions and environmental harm. This technology provides a circular solution by converting high-moisture food waste into stable, high-value livestock nutrition. Through an innovative bio-conversion process, nutrient-rich by-products are rapidly transformed into a low-moisture, shelf-stable feed enriched with beneficial microorganisms. The resulting feed not only reduces dependence on imported raw materials but also supports animal health and productivity. Compared with insect protein or traditional heat-drying, this approach is faster, more energy-efficient, and scalable across both rural and industrial contexts. The technology directly lowers feed costs for farmers by 5–20%, creates new revenue streams from food waste, and cuts greenhouse gas emissions by up to 2 tons of CO₂e per ton diverted, while requiring only low CAPEX and minimal investment for setup. The technology owner seeks collaboration with IHLs, research centres, F&B/waste management players, and deep tech IoT companies for R&D, licensing, and test-bedding opportunities. Biological Processing System – Combines proprietary enzymatic treatment with lactic acid fermentation to upcycle high-moisture food waste (e.g., spent grain, okara, fish offal) into protein-rich livestock feed. Moisture Reduction – Rapidly reduces water content from >90% to <20% without relying on energy-intensive dryers. Nutrient Stabilization – Fermentation inhibits pathogens, preserves nutrients, and generates probiotic compounds that enhance gut health and feed efficiency in animals. Simple, Modular Infrastructure – Operates with accessible equipment such as hydraulic presses, fermentation tanks, and drying racks. Scalable Deployment – Suitable for decentralized rural applications as well as larger industrial facilities. Animal Feed Industry – Provides cost-effective, sustainable alternatives to soybean meal, corn, and fish meal for poultry, swine, and aquaculture. Food & Beverage Industry – Valorization of by-products from breweries, tofu factories, slaughterhouses, and seafood processors. Waste Management Sector – Supports municipalities and private waste handlers in reducing landfill loads and methane emissions. Climate & Carbon Credit Market – Enables monetization of waste diversion and reduced GHG emissions through carbon credits. Current alternatives for sustainable feed—such as insect farming, algae cultivation, or heat-based drying—face significant limitations in cost, scalability, and energy intensity. Traditional feed milling remains dependent on volatile global commodities like soybean meal, corn, and fish meal, while insect-based systems require weeks-long growth cycles and yield high-moisture biomass that is difficult to scale. Heat-drying of by-products, meanwhile, demands high capital and energy input, restricting use in rural or resource-limited settings. This technology overcomes these challenges by combining a rapid, low-energy bio-conversion process with lactic acid fermentation to produce stable, probiotic-enriched feed directly from food industry by-products. The result is a circular, climate-smart solution that: Cuts feed costs by 5–20% through local waste valorization. Removes reliance on energy-intensive dryers, enabling deployment in rural and developing regions. Boosts animal health and productivity with probiotic-enriched feed. Reduces carbon emissions, with each ton of waste diverted avoiding 1.5–2 tons of CO₂e. Supports modular, decentralized production, creating resilience and local economic value. Sustainability, Food Security

Given the importance of English as the international language of business, many Asian professionals and workforces still face a significant proficiency gap compared to their Western counterparts. They often encounter difficulties in three key areas: 1) understanding technical nuances, 2) drafting documents such as proposals and agreements, and 3) comprehending the diverse range of English accents found in regions like Korea, China, Japan, India, and Singapore. To address these challenges, our technology offers an e-learning platform that provides individuals and teams with a structured approach to complex business negotiations. It features standardized templates and conversational expressions to guide users effectively. This solution tackles common pain points, including inconsistent preparation, inadequate documentation, and a lack of analytical tools, which often result in suboptimal agreements. The system delivers step-by-step workflows for identifying stakeholders, defining negotiation objectives, evaluating leverage, and formulating strategies. It incorporates analytical modules for SWOT analysis, Position/Interest (P/I) analysis, Zone of Possible Agreement (ZOPA) estimation, and the development of alternative options. By integrating scenario-based logic with standardized templates, the platform empowers users to enhance their negotiation preparation, ensure consistent decision-making, and track outcomes effectively. The primary target adopters include corporate procurement teams, business development units, IP licensing managers, and international traders who are committed to building advanced negotiation skills. The technology is a software-based platform featuring interactive modules for negotiation planning, documentation drafting, and performance evaluation. Its core functions include: Stakeholder Identification and Role Mapping Strategic Analysis Tools (e.g., SWOT and Leverage Analysis) Objective Setting with quantifiable targets Term Sheet Creation for various agreement types, including technology, trademarks, software, copyright, and international trade Scenario Simulation and alternative option (BATNA) development Built-in Evaluation Metrics for self-assessment and performance tracking This platform serves as a comprehensive English-negotiation learning tool. It is accessible via a ubiquitous, internet-connected environment and offers customized coaching with authentic business English content. Each user follows a personalized study map to ensure structured skill development. The platform bridges the gap between academic theory and real-world execution, making it equally effective for training and live negotiation scenarios. It is designed for industries where structured negotiation is critical, including international trade, IP licensing, corporate procurement, M&A, and government contracting. Practical applications include preparing for IP transfers, vendor contracts, distribution agreements, and strategic partnerships. Additionally, the platform serves as a powerful corporate training tool to systematically build negotiation competency across an organization. Cross-border negotiations are inherently complex, involving multiple stakeholders, divergent regulatory frameworks, and cultural differences. This complexity is magnified within an open innovation paradigm, where companies collaborate with external partners such as startups, universities, research institutes, and even competitors. A survey conducted by DeltaTech-Korea Ltd. underscores the need for structured training in this area, revealing that 69% of respondents are keen to learn business negotiation skills through an e-learning platform. This demand is primarily driven by challenges in aligning different business goals, establishing clear IP ownership, and navigating varied decision-making processes. Unlike conventional ad-hoc negotiation methods or generic project management tools, our platform provides a specialized, end-to-end negotiation framework. It uniquely combines analytical rigor—delivered through built-in strategic tools—with practical execution support via structured templates and progress tracking. This integration ensures alignment between strategic preparation and tactical execution, thereby minimizing the risk of oversight and fostering consistent, measurable improvement in negotiation outcomes. Infocomm, Educational Technology

Manufacturing with plastics, particularly thermoset and thermoplastic resins, has long been constrained by inefficient and energy-intensive heating methods. Current practices rely on large ovens, autoclaves, or surface heating techniques using gas or electric conduction. These approaches not only consume significant energy but also require prolonged processing times and manual interventions, limiting scalability and automation. This technology bridges induction heating into plastics for the first time.  This creates opportunities for automated, energy efficient manufacturing of thermoset (epoxy/urethane) or thermoplastic resins not possible through other surface heating methods. This disruptive manufacturing technology allows volumetric heating of plastic parts required in automotive, sports, and green energy sectors. Non-contact, volumetric heating occurs through incorporation of specially designed ceramic particle additives. The additives convert magnetic fields to heat for activation of adhesives, coatings, or melting of thermoplastics. This technology replaces inefficient fabrication methods such as energy intensive ovens, autoclaves, and surface gas/electric conduction-based heating. Induction provides remote activation, real-time feedback, and external digital manipulation for a new paradigm of assembly design intents. This innovative transformation removes laborious manufacturing methods and aligns with current goals of energy efficiency and long-term sustainability.  The technology owner is actively seeking R&D collaborations, licensing partnerships, and IP acquisition opportunities with manufacturing companies in adhesives, sporting goods, and automotive manufacturing. Induction technology for plastic manufacturing allows instantaneous heating. Additive technology exploits particles that convert magnetic fields to heat.     Impart remote, on-demand activation of adhesives through other materials.  Integrates with automated assisted manufacturing, in-line productions. Provides real-time processing feedback, with a 50 - 300°C temperature range. Heating gradients of 0.1 - 2°C per second gradients achievable. Technology can be used for both bonding and later debonding. Applicable to plastics, adhesives, coatings, rubbers. Additive technology, no re-formulation required for proprietary resins. Ceramic additives, chemically inert, stable to 600ºC. Shoes & Foams: Precise activation of adhesive films as specific stations Paints & Coatings: Non-contact curing/drying of resins 0.1 – 5 mm thick. Composites & Laminates: Instantaneous curing/melting of parts 1 – 50 mm deep. Complex Assembly: Bonding of internal substrates after assembly. New Process: Design and separation of independent fabrication procedures. Energy efficient technology can reduce kwh usage by 5 – 10-fold. Target resin/material temperatures are set in seconds to minutes. Reduces manufacturing labour, fabrication time & energy. Allows through space heating of plastics/resins with no line-of-site required.  Additives/magnetic field exposure poses no danger to human health. nanoparticles, induction curing additives, volumetric heating Chemicals, Coatings & Paints, Additives

The rapid growth of IoT and automation across industries has transformed operations with real-time monitoring and intelligent decision-making. However, ensuring a reliable power supply for every IoT monitoring system remains a major challenge, as frequent battery charging or replacement drives up costs, causes downtime, and impacts sustainability, underscoring the need for innovative energy solutions. This energy harvesting technology generates reliable, event-based electrical pulses directly from motion or changes in magnetic fields. Unlike batteries, which require periodic replacement, or more familiar energy harvesters that rely on environmental conditions such as light or vibration, this approach provides a consistent and maintenance-free energy source triggered by movement. The pulses can power ultra-low-energy electronics including microcontrollers, sensors, and wireless transmitters, enabling truly autonomous IoT monitoring systems. This makes it possible to deploy sensors and monitoring devices in locations where battery access or replacement is impractical, such as sealed enclosures, remote installations, or industrial equipment. The solution addresses the growing need for sustainable alternatives to batteries in IoT, offering cost savings, improved reliability, and reduced environmental impact. This energy harvesting technology has use cases in rotary actuators. The technology owner is looking to co-develop this technology and test bed on more use cases with partners who design and manufacture IoT or other devices. Other potential partners could be system integrators or end users looking to customise product development for scale. This technology consist of sensors can be triggered by alternating magnetic fields caused by different types of motion - rotational, linear, ferromagnetic proximity or electromagnetically. The trigger results in the production of consistent pulses, which can be easily registered and counted. Electromagnetic generation: At the heart of the technology is a compact magnetic component that produces a sharp voltage pulse each time the surrounding magnetic field changes polarity. It produces 9 μJ of energy per pulse/magnetic event with a triggering field of 6-8mT. This effect provides both energy generation and event detection in a single mechanism. The pulses are high enough to charge capacitors, which then power low-energy devices or wireless transmission modules.  No moving mechanical parts: Unlike other electromagnetic solutions, it does not contains moving mechanical parts with no additional springs or vibrating levers required to compensate for slow magnetic field changes. This eliminates wear and tear while ensuring a consistent amount of energy per movement event, regardless of speed. Campatible with non-volatile memory and wireless communication modules: Enable event-driven data logging and transmission. Compatible with rotary and linear motion systems: Its modular design allows flexible integration into both rotary and linear motion systems, making it adaptable across a wide variety of applications.  The technology can be applied wherever long-life, maintenance-free IoT sensing is required, including: Manufacturing and industrial condition monitoring in rotating or moving machinery Smart meters and utility systems requiring sealed or inaccessible enclosures Building automation devices for access monitoring and energy management Logistics tracking and supply chain monitoring of motion or environmental events Remote agricultural and environmental sensors in hard-to-reach areas Healthcare devices using lower frequency electromagnetic waves that can be transmitted through the skin without any damage to human tissue  The rapid growth of IoT is constrained by the limitations of batteries, including cost, maintenance, and environmental impact. Energy harvesting technologies are increasingly sought to overcome these barriers. This approach stands out by providing compact, motion-driven power generation that is reliable, consistent, and independent of ambient conditions. Its dual function of powering devices while simultaneously detecting events offers unique design and cost advantages over conventional solutions. Stable, event-based energy output at irregular motion speed: Compared with vibration or inductive harvesters, the technology produces stable energy output even at low or irregular motion speeds. Its ability to simultaneously harvest energy and detect events reduces the need for additional components, simplifying designs and lowering costs. This makes it an ideal enabler for sustainable, scalable IoT deployments. Battery-independent operation: This technology offers significant advantages over battery-based systems by eliminating the need for replacement or recharging. Low maintenance costs: System lifetimes are extended, and devices can be deployed in sealed or remote environments without concern for accessibility.   electronics, energy, environment, green building, agritech, logistics, manufacturing, smart cities, IoT Energy, Waste-to-Energy, Electronics, Actuators, Manufacturing, Assembly, Automation & Robotics, Infocomm, Internet of Things

The growing challenge of plastic waste and non-biodegradable absorbent materials is driving demand for bio-based alternatives that deliver performance without utilisation of petrochemicals. Poly-γ-L-glutamic acid (L-PGA) stands out as a biodegradable, biocompatible biopolymer with exceptional water retention and film-forming properties, making it highly relevant to applications requiring such functionalities. As part of the wider class of biodegradable biopolymers, it offers a sustainable pathway toward reducing plastic dependence. Commercial adoption has been limited as most commercial PGA is DL-PGA (a racemic polymer with lower stereoregularity and less predictable chemistry) while the preferred L-PGA grade remains scarce and costly under the single supplier archaea-based production route. This technology offers a cost-efficient and scalable platform for L-PGA production. Using proprietary microbial strains, it can produce consistent, ultra-high molecular weight L-PGA with stable quality and stereoregular purity. The resulting stereoregular L isomer material enables early adoption in cosmetics/personal care and medical materials, with the potential to expand into bio-based superabsorbent polymers (SAPs) and bioplastics as production capacity increases. The platform’s capability demonstrates the scalability of biodegradable biopolymers in industrial applications, setting new standards in sustainable material innovation through this advanced biopolymer technology. To accelerate market adoption and tailor application-specific L-PGA grades, the technology owner seeks co-development and scale-up partners for this L-PGA technology (current readiness is at bench-scale, with next steps focused on jar-bioreactor scale-up and standardized testing). Strain engineering (plasmid‑free): Genome‑integrated L‑PGA pathway in GRAS Bacillus subtilis, with targeted metabolic/regulatory edits for robustness and titer Delivers ultra‑high‑molecular‑weight L‑PGA and supporting long‑run stability. Cost‑optimised synthetic medium: Chemically defined, low‑cost medium that maintains product purity and simplifies downstream processing Achieves a material reduction in cultivation‑medium cost versus archaea‑based production Product format & suitability: Homochiral L‑isomer polymer supplied as water‑clear solutions; suited to hydrogels/adhesives, cosmetic ingredients, and bioplastics/coatings. Samples and prototypes can be co‑developed with partners for grade‑specific validation Scale‑up and process development are advancing through two complementary approaches. Conventional liquid culture is advancing toward pilot for process and product validation. In parallel, an energy‑efficient route—engineered filamentous cells immobilised on a thin‑filter carrier—is under R&D. This design aims to overcome viscosity limits, improve oxygen transfer, and support high-density continuous production with reduced aeration and agitation energy requirements. Cosmetics and Personal Care As a biodegradable, biocompatible moisturising/film‑forming ingredient, L‑PGA can be used in serums, creams, sheet masks and hair/scalp care. Medical materials Serves as a platform for wound‑healing hydrogels and tissue adhesives/surgical glues, as well as drug‑delivery or regenerative scaffolds.  Hygiene products L-PGA can be used as bio‑based SAP grades for diapers and feminine/personal hygiene, offering high water uptake and salt‑tolerant absorbency with the added advantage of biodegradability. Bioplastics & coatings/films L‑isomer stereoregularity supports tougher, more predictable networks for bioplastic resins, barrier coatings, and flexible films that can reduce reliance on petroleum‑derived additives. High quality L-PGA – consistently produces the all-L isomer with predictable chemistry and superior performance Cost-competitive – the proprietary microbial platform lowers production costs significantly Scalable and industrially ready – this technology is compatible with standard bioprocesses, advancing to pilot scale with parallel R&D in continuous, energy-efficient cultivation. biopolymer, polyglutamic acid, PGA, bio-based, biotechnology, cosmetics, personal care, medical, hydrogels, superabsorbent polymer, biodegradable, materials, cost-efficient, strain engineering, stereochemistry Personal Care, Cosmetics & Hair, Materials, Bio Materials, Chemicals, Polymers, Life Sciences, Industrial Biotech Methods & Processes, Bio-based

This IoT and AI-driven solution directly addresses critical logistics challenges, including product spoilage, quality degradation, and compliance failures, particularly in cold-chain and high-value supply chain environments. As an AI and IoT logistic solution, it helps organisations prevent costly quality loss across sensitive, regulated product flows. Given that product spoilage alone costs companies 3–7% of their annual revenue, the technology’s core value lies in its ability to transform logistics management from a reactive process into a proactive and intelligent operation. The solution’s robust platform is built on three key technological pillars: An IoT sensor device for real-time data collection. An AI-driven predictive model for deep analysis. An integrated data management platform that unifies insights. This system leverages domain-specific data management to handle complex knowledge, ensures quick and accurate forecasts through advanced modeling, and dynamically adjusts risk thresholds in real time using AI-based risk management. By integrating these elements, the technology provides comprehensive visibility and enables timely intervention, preventing minor issues from escalating into major disruptions. Ultimately, this AI and IoT logistic solution is ideally suited for sectors such as biopharmaceuticals, fresh food, and high-value asset transportation, where its accuracy and speed can significantly reduce operational losses. This solution integrates a suite of advanced hardware and software components to deliver comprehensive supply chain visibility. The technology consists of IoT-enabled multi-sensor devices that capture critical data on temperature (–30°C to +70°C), humidity (20–90% RH), shock (±16 g), light, and location (GPS). These devices feature onboard Edge AI for intelligent data filtering, a robust battery life of up to 90 days, and versatile connectivity options including LTE-M, NB-IoT, and BLE. An operating app enables users to upload and manage data from the sensor devices, and a gateway can be connected for more effective condition monitoring. The data is processed by a powerful cloud-based SaaS platform powered by machine learning models. This platform delivers predictive analytics on transport routes and environmental variables, and offers a user-friendly interface with real-time dashboards, automated alerts, and customizable reports. The system supports seamless API integration with existing enterprise systems such as ERP and WMS, while ensuring compliance with standards including HACCP (Hazard Analysis and Critical Control Points) and GDP (Good Distribution Practice). This technology provides a scalable, compliance-ready visibility solution that transforms logistics management from reactive to proactive. This technology can be deployed in biopharmaceutical cold-chain logistics, food cold-chain, fresh produce supply, electronics, and warehouse operations, where quality and compliance are critical. The technology also underpins marketable products such as IoT multi-sensor trackers, SaaS monitoring platforms, compliance reporting tools, and risk analytics services, enabling end-to-end supply chain visibility and resilience. Ideal Collaboration Partners include: Pharmaceutical and Biopharma Companies – Vaccine and drug cold chain transport. Cold Chain Logistics Providers – Shipping lines, freight forwarders, 3PLs. Warehouse Operators – Cold storage and bonded warehouses handling items and goods requiring sensitive care. Adjacency Partners – Transport container manufacturers, IT integrators, and digital supply chain platforms. Institutes of Higher Learning (IHLs) and Research Centres – Compliance validation and applied R&D Strategic Consulting Firms – partners with deep insight into vertical industry trends and regulatory frameworks, enabling joint PoCs and BETA trials with leading service providers in the market.   The Singapore cold chain market was valued at USD 5.09 billion in 2024 and is forecast to grow at a CAGR of 23.2%, reaching around USD 32.45 billion by 2033. (source: Grandviewresearch.com) This AIoT solution is uniquely positioned to capitalize on this significant market growth by transforming traditional cold chain monitoring into an intelligent, data-driven system. While many competitors offer basic sensor-based tracking, this platform utilizes advanced AI and Machine Learning models to process vast amounts of multi-sensor data in real time. This allows the system to analyse historical patterns and external variables to generate highly accurate predictive risk alerts, enabling proactive issue resolution before product loss or compliance failures occur. This intelligent approach, combined with unified device-platform delivery, customizable reporting, and seamless API integration, provides a comprehensive solution that far surpasses the capabilities of traditional sensor-only solutions. The technology provides a significant improvement over the current state of the art by leveraging an intelligent AIoT platform. It features: Multi-sensor precision devices that capture temperature, humidity, shock, light, and location data in real time. These smart devices utilise Edge AI for efficient on-device data processing, which then feeds into a cloud platform. The cloud platform goes beyond simple monitoring, alerts, and reporting, it employs advanced machine learning models to transform raw sensor data into actionable insights and proactive risk predictions. Users gain a unique competitive advantage through customised alerts and reports aligned with their standard operating procedures (SOPs). This solution has proven reliability with major enterprises in South-Korea and offers flexible adoption through single-use or multi-use devices with API integration, making it a scalable and highly intelligent solution for modern logistics. IoT, AIoT, Real-Time Tracking, Data & Predictive Risk Analytics, Cold Chain Monitoring, Regulatory Compliance Infocomm, Artificial Intelligence, Internet of Things, Foods, Quality & Safety, Logistics, Transportation, Value-Added Services

The foveal machine vision method is a well-established human-eye-inspired technology that mimics the way our eyes focus on details in the centre of vision (the fovea) while keeping peripheral areas in lower resolution. The current invention applies this mature principle to capsule endoscopy and endoscopic imaging, and by integrating attention-driven imaging, adaptive radios, and visual–inertial fusion, it delivers a uniquely efficient and clinically relevant solution for fewer missed diagnoses and improved patient outcomes. For clinicians: The system integrates seamlessly with existing PACS (Picture Archiving and Communication System) and EMR (Electronic Medical Record), requires minimal onboarding, and mirrors current reading habits. It streamlines the review process while ensuring clinicians retain full control by accepting or editing findings before making the final decision. For patients: The exam remains outpatient and sedation-free, with no disruption to daily activity, while improved targeting and localization help reduce the need for repeat procedures. This technology overcomes key limitations of current capsule endoscopy in gastrointestinal (GI) diagnostics — namely low image resolution (~500 X 500 pixels), slow frame rates (<5 frames per second), and excessive energy use — that can compromise lesion detection and often necessitate repeat procedures. Its innovative approach to endoscopic imaging ensures sharper visuals, better localisation, and enhanced clinical efficiency. Ideal collaborators include R&D partners to advance development, gastroenterology departments for clinical validation, device manufacturers for capsule integration and scaling, and telemedicine providers to enable remote diagnostic deployment. The system is a swallowable capsule endoscope with a high-resolution imaging sensor, real-time AI inference engine, and wireless transmission module. It operates in a continuous loop in two modes mimicking human visual attention: A routine low-power full-field scanning mode An intelligent focus mode: high-resolution, high-frame-rate, activated upon the detection of suspected abnormalities. The adaptive radio then transmits the additional data efficiently, while the server integrates video and inertial cues to estimate position, performs multi-class diagnosis, and generates a structured report with linked evidence. The technology has already achieved successful laboratory validation of its key modules, including fast-switching imaging from full field to region of interest, robust wireless link and power control in benchtop and tank models, offline lesion detection on curated datasets, and visual–inertial localization on recorded trajectories. The next step is to bring these proven capabilities together into a unified capsule form factor, advancing through ex vivo and simulated validation toward clinical translation. With a strategy that prioritizes high sensitivity for clinically relevant lesion classes, while ensuring acceptable precision and clear evidence trails, the platform is well-positioned to progress rapidly toward higher TRLs in collaboration with clinical partners. This technology can be deployed in the healthcare diagnostics industry, particularly for gastrointestinal (GI) disease screening and monitoring. It is suitable for hospitals, endoscopy centres, and telemedicine services that require non-invasive and accurate diagnostic tools. Foreseeable applications include the early detection of obscure GI bleeding, polyps, and cancers. The global capsule endoscopy market was valued at approximately USD 570 million in 2024 and is expected to reach USD 1.1 billion by 2032, growing at a CAGR of 8–9%. Growth is driven by the rising burden of gastrointestinal (GI) diseases and the demand for non-invasive, patient-friendly diagnostics. North America leads the market due to its advanced healthcare infrastructure, while Asia-Pacific — particularly China, India, and Singapore — is the fastest-growing region, supported by increasing healthcare investment and awareness. Key users include hospitals with GI departments, screening clinics, and telemedicine providers. The market favours solutions that deliver high image quality, AI-assisted analysis, and streamlined clinical integration — all of which align directly with this technology’s strengths. The innovativeness of this technology lies in two areas: Advancing the traditional foveal machine vision method and system through both hardware and software improvements: Hardware: The imaging and compute path is designed to switch seamlessly between wide view and high detail while efficiently managing power and bandwidth within the capsule. Software: The system provides on-capsule detection and tracking, server-based triage and diagnosis, and a localization engine that fuses vision and inertial data into a reliable clinical map. Extending the established approach into capsule endoscopy, a field with limited prior use, by addressing existing limitations: Clinicians worry that selective imaging could miss important peripheral details. The system addresses this by continuously capturing full-field frames without turning the background off, while enhancing only clinically relevant regions. Sensitivity thresholds are set high, with every escalation logged for full auditability and reader confidence. Reviewing capsule endoscopy today requires clinicians to sift through tens of thousands of images, making the process slow and labour-intensive. The current system streamlines this by highlighting prioritized findings with key frames, confidence scores, timeline, and an auto-generated structured report. Early internal studies show it reduces review time significantly without sacrificing sensitivity. Unlike fixed-resolution capsules, the current approach focuses high-resolution imaging where it matters, delivering up to tenfold greater lesion detail with efficient power use, plus precise localization, intelligent triage, and adaptive data transmission. AI, Capsule Endoscopy, Robotics, Wireless Communication, Electronics Healthcare, Telehealth, Medical Software & Imaging

Modern buildings consume significant amounts of electricity through air conditioning systems. However, many conventional setups rely on static schedules or simple rule-based controls that do not adapt to dynamic factors such as external weather, occupancy, or usage patterns. This often results in higher energy costs, reduced occupant comfort, and unnecessary wear on air conditioning equipment - highlighting the growing need to improve aircon energy efficiency across facilities. To address these challenges, the technology owner has developed an advanced air-conditioning optimisation system that leverages real-time sensor data, weather forecasts, and machine learning to dynamically regulate operations. The system features intelligent temperature detection that maintains an optimal balance, neither too cold nor too hot, while automatically controlling air-conditioning and heating in real time, thereby improving aircon energy efficiency, supporting ESG practices, and ensuring a consistently comfortable indoor environment. Designed for seamless installation and operation via a user-friendly interface, the solution is suitable for both small-scale users and large facilities managing multiple air conditioning systems. When integrated with central air control systems, it reduces manual workload for operators while optimising energy use across entire buildings. Successfully deployed in retail stores, offices, and warehouses in Korea, the technology has demonstrated proven value across diverse environments. The technology owner is seeking industrial partners for test-bedding and adoption of their AIoT solution. They are also keen to collaborate with HVAC companies and air handling unit (AHU) manufacturers to co-develop integrated solutions that create win-win opportunities and drive sustainable growth. Key technical features of this solution include: Integrated Hardware and Software: Consists of a hub, controller, and sensors, powered by an AI engine and operating system that enable intelligent management of air-conditioning units Human-Centric Sensing: Unlike conventional systems, the sensor captures temperature and humidity data directly around occupants, ensuring comfort is monitored and managed where it matters most Comprehensive Data Inputs: Integrates both indoor sensor data and external weather forecasts, referencing inputs from the nearest outdoor weather station Predictive, Data-Driven Control: Utilises machine learning to predict changes in indoor temperature, humidity, and heat load. The system determines the optimal operation strategy of air conditioners, such as which units to activate, set-point temperatures, modes, and wind speeds, to maintain stable indoor comfort Government and commercial office buildings Retail centres and shopping malls Healthcare facilities (e.g., public / private hospitals, clinics) Hotels, cinema and theatres Education Institutions (e.g., schools, university campus) Data centres Industrial facilities (e.g., factories, warehouses) Optimised Comfort with Efficiency: Continuously maintains indoor temperature, balancing thermal comfort with energy savings AI-Driven Adaptability: Learns from environmental changes and usage patterns, going beyond conventional control systems Economic Benefits: Delivers tangible energy savings of 10–30%, reducing both operational costs and carbon footprint Ease of Deployment: Enables quick installation without power disruption and requires minimal maintenance Automated Operation, Optimization, Improving System, Intelligence, Decision Making, Energy Saving, Digitalization, Management Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Electronics, Power Management, Green Building, Heating, Ventilation & Air-conditioning, Sustainability, Sustainable Living