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Nocturia is a common urinary complaint where one experience interruption of sleep with one or more times at night to void. The current assessment of nocturia is primarily clinical and relies mainly on patients documenting their own bladder diary to complete a Frequency-Volume Chart (FVC) of volume and times of urination between a 24-to-72-hour period. This conventional way of assessment is a manual and inadequate way of diagnosing nocturia. An individual is diagnosed with nocturnal polyuria if the total urine output at night exceeds one-third of total daily output. This technology has developed a point-of-care urine osmometer for the monitoring and profiling of day- and night-time variation in urine osmolality, providing clinicians with valuable insights to facilitate more accurate, objective diagnosis and personalized treatment plans for nocturia. This device is portable and attached with a readout sensor, designed to be user friendly. The technology owner is seeking collaborations with: Medical Institutions and Healthcare Providers: To facilitate clinical validation, implementation, and integration of the portable urine osmometer into routine diagnostic practices for nocturia and other related conditions. Device Manufacturers: To miniaturize the prototype, scale up production, ensure quality control, and help bring the device to market. Research Institutes: To collaborate on further R&D , particularly in optimizing the technology and exploring additional applications, such as hydration monitoring for athletes and military personnel. Data Analytics Partners: To develop advanced software and algorithms for precise data interpretation, which can enhance the device’s diagnostic capabilities and provide more personalized treatment options. Current state-of-the-art for urine osmolality measurement uses a freezing point osmometer, which is often bulky, expensive, and requires specialized training to operate. To address these limitations, a portable urine osmometer that uses impedance measurement coupled with refractive index measurement and activated carbon absorption was developed. This innovative approach provides a quick and accurate measurement of urine osmolality. In a clinical trial involving 225 urine samples, an accuracy of 94.4 ± 5.0% was achieved, comparable to the gold standard freezing point osmometer. The device's compact design allows for easy home use, making it ideal for patients with nocturia to monitor their condition without frequent clinic visits. The current pain point in diagnosing and managing nocturia lies in the absence of an objective and quantitative method. Current clinical diagnosis relies heavily on a cumbersome 3-day bladder diary, which is insufficient but also results in inaccuracies and poor patient compliance. Consequently, urologists are left with the challenging task of providing a diagnosis for the underlying cause of nocturia which may lead to a trial-and-error approach on the medications prescribed. This results in suboptimal management of the condition, leading to unresolved patient discomfort and dissatisfaction. The proposed solution aims to revolutionize the approach to diagnosing and treating nocturia by introducing a portable point-of-care device for urine osmolality profiling. The portable urine osmometer is not only useful for diagnosing nocturia but has potential applications in assessing, monitoring hydration status and renal function in various populations, particularly in athletes, elderly, and military personnel. The market potential for portable urine osmometer, particularly in addressing nocturia, is significant. The global market for nocturia-related drugs is projected to grow at a compound annual growth rate (CAGR) of 6.1%, highlighting the increasing demand for effective nocturia management solutions. Given the high prevalence of nocturia, with approximately 1 in 10 people experiencing moderate to severe symptoms, and the current limitations of diagnostic methods, there are substantial opportunities for a portable urine osmometer. This device offers a cost-effective and accessible alternative to the traditional freezing point osmometer. This technology offers a more precise measurement in assisting physicans on the diagnosis for nocturnal polyuria and providing significant improvement to patient protocol. Besides that, the technology enhances several UVP over the conventional methodology which includes: Providing a comprehensive day and night urine osmolality profile in a home setting with an objective and quantitative readout over the current reliance on subjective bladder diaries.  Compared to existing devices in the market, this device has a much smaller footprint than a laboratory based freezing point osmometer. The device is simple to use and enables a cheaper manufacturing cost. It has a short turnaround time with a 3-minutes readout duration.  An affordable consumer device as the consumable per test is a plastic container pre-filled with activated carbon and a disposable urine container.  Urine, Osmolality, Osmometer, Nocturia, Nocturnal Polyuria, Urine Concentration Healthcare, Diagnostics, Medical Devices

Phosphine oxide-based photoinitiators, such as TPO and BAPO, are commonly used in biomedical applications due to their effective polymerization properties. TPO is widely used in products like coatings, inks, and adhesives. The industry is seeking safer alternatives with an upcoming ban on TPO effective from September 2025 in Europe due to its reproductive toxicity. Current alternatives focus on either low toxicity or increased water solubility, but there is a significant gap in finding a photoinitiator that combines both. This is important for applications requiring high biocompatibility, such as biomedical devices and tissue engineering. This technology is a new generation of photoinitiators that offers significantly lower toxicity compared to TPO/BAPO, making them ideal for sensitive biomedical applications. Their enhanced water solubility allows them to integrate easily into aqueous systems without harmful solvents, supporting the demand for sustainable products. Water-soluble photoinitiators also improve biocompatibility, reducing the risk of toxicity in applications involving direct contact with biological tissues. Additionally, these photoinitiators are customizable in curing speed, depth, and substrate compatibility, making them suitable for a variety of industries including coatings, adhesives, and advanced 3D printing. The technology owner is seeking IP licensing and R&D collaborators in the biomedical field, including manufacturers of hydrogel-based products like wound healing patches, tissue scaffolds, or bioadhesives along with companies in the materials and personal space looking for safer, sustainable photoinitiator alternatives. Medical institutions that can expand on the in vitro cytotoxicity studies or translate in vitro cytotoxicity results into in vivo animal models are also of interest.  Compatible with organic and aqueous systems: These liquid, carbene-precursor photoinitiators can be incorporated into organic or aqueous systems without the need for additional co-solvents. Customisable properties: Liquid by nature, these photoinitiators can be incorporated into the system to elicit different properties (i.e. curing speed, porosity). Reduction in leachate toxicity: Diazo moieties generated through this irradiation could potentially reduce leachate toxicity by reacting and disabling monomers, contributing to safer and more biocompatible materials. Polymerization of various vinyl monomers: Upon exposure to appropriate wavelengths of light (such as UV or visible light), this photoinitiator generates reactive species that efficiently initiate the polymerization of various vinyl monomers. This property makes it highly suitable for use in a broad range of polymerization processes. Removable through washing: Enhance biocompatibility for sensitive in vivo applications such as resorbable tissue scaffolds. Biomedical systems: Medical devices, drug delivery systems, resorbable tissue scaffold and other biomedical systems. Biomedical 3D printing: Releases gases during irradiation, which allows for shrinkage compensation. Can generate porosity for cell seeding in live cell encapsulation applications. Dental materials: Non-yellowing, great for customisable dental applications. Cosmetics: Nail gels and UV-cured beauty treatments. Other applications sensitive to the leaching of toxic compounds: E.g. food packaging, coating, adhesives and any applications that needs to be compliant to regulations and cannot have harmful substances migrating into food or skin. Current solutions in the market have a trade-off between toxicity and water solubility. These photoinitiators represent a significant advancement by combining the two features. It not only addresses current industry challenges but also opens new possibilities for innovation and application. Low toxicity: Notably reduced toxicity in preliminary in vitro studies. Water-soluble: Compatible with aqueous systems which unlocks market potential in biomedical field. Liquid formulations can be easily incorporated into large-scale industrial processes and manufacturing without the prior need for dissolution in compatible solvents. photoinitiator, hydrogel, diazirine, carbene, non-toxic, biomedical, biomedical 3d print, biomedical 3d printing Materials, Bio Materials, Healthcare, Medical Devices

Tactile indicators and flat tiles are typically made from porcelain-based or traditional concrete materials. Porcelain surfaces tend to be smooth and slippery, posing a safety risk for pedestrians, and they are also brittle, making them prone to damage. Traditional concrete, while more durable, is bulky and heavy, making installation challenging. Bendable concrete tactile indicators offer a solution to the drawbacks of both materials. They are slip-resistant, durable, and lightweight, making them easier to install. It utilizes high-performance fiber-reinforced concrete that is designed using the micro-mechanics guided principles. The design focuses on suitable tailoring of fiber-cementitious matrix interface that enable tensile strain-hardening characteristics similar to metal. Under normal load conditions, bendable concrete exhibits stiffness comparable to traditional concrete. However, when overloaded, instead of fracturing suddenly, it deforms while continuing to bear the load, much like ductile metals that undergo plastic deformation after yielding. This material is exceptionally tough, with a fracture toughness comparable to that of aluminum alloys. The technology owner is seeking potential partnerships for IP licensing. Potential partners include tile manufacturers and companies in related industries. Compressive strength: Around 50 MPa Flexural strength: 10-15 MPa, three to five times of traditional concrete  Tensile strain capacity: Greater than 3%, several hundred times that of traditional concrete Improved skid resistance: Greater than 50 BPN Reduced tile thickness: Smaller than 12 mm compared to traditional concrete material at 40-60 mm Potential applications include but not limited to tactile indicators and flat tiles for outdoor applications where high skid resistance, durability, and lightweight are of importance. In Singapore, approximately 100,000 m² of tactile indicators are installed at conflict zones in major road junctions. These indicators are also widely used in similar zones at service road junctions within HDB estates, industrial parks, universities, schools, hospitals, train stations, and other public buildings. Additionally, an estimated 39,000 m² of tiles will be required for an upcoming footpath rejuvenation project, where flat tiles will be used to repave footpaths in areas across Singapore, including the Central Business District. Surface skid resistant: Provides more friction while walking, hence better footing compared to porcelain-based tactile indicators. Durable: Less prone to crack, chips or wear and tear compared to porcelain-based solutions, allowing for the creation of thin tactile indicators without the need for steel reinforcement. bendable concrete, strain hardening cementitious composites, cement, tactile indicator, tile Materials, Composites

This invention addresses a significant challenge in the field of plastic resin identification and sorting, a critical issue in material recovery facilities (MRFs) and industrial plastic sorting. Traditional methods of sorting plastic resins are often inefficient and prone to errors, leading to contamination and reduced quality of recycled materials. This technology introduces a novel AI training method specifically designed for plastic resin classification using near-infrared (NIR) spectroscopy. The approach leverages self-supervised learning and masked signal modeling (MSM) to enhance the accuracy and robustness of deep learning models in identifying various plastic resins, based on their spectral signature data. One of the unique aspects of this technology is its integration with a rotary sorting system, which significantly improves the speed and precision of sorting operations in MRFs. By automating the resin identification process with accuracy of up to 95% and reducing reliance on manual sorting, this technology helps facilities achieve higher purity in recycled materials, addressing a critical need in the recycling industry. The technology owner is seeking to collaborate with industry partners operating MRFs and uses a rotary sorting system to integrate and perform test-bedding of the technology. High Accuracy: The AI model achieves over 95% accuracy in plastic resin classification, leveraging near-infrared (NIR) spectroscopy combined with deep learning techniques. Modular and Scalable Design: The system's modular, stackable design allows easy integration into existing facilities and scalable expansion, from small local MRFs to large industrial plastic sorting plants. It can be combined with robotic arms or human-operated stations, offering a flexible, customised solution that adapts to specific operational needs. Real-Time, High-Speed Sorting: The integration of a rotary sorting system enables real-time processing, handling up to 2 plastic samples in 1 second. This speed and efficiency surpasses traditional conveyor-based systems, making it ideal for large-scale operations. Energy Efficiency and Cost Reduction: This rotary system is energy-efficient, reducing operational costs by up to 30% compared to conventional methods. Its low maintenance requirements further minimise downtime, making it a cost-effective long-term solution. Sustainability Impact: By improving sorting accuracy and efficiency, the technology supports sustainable recycling practices and reduces the environmental footprint of plastic waste management.   Waste management and recycling Manufacturing and production Environmental and sustainability applications It is estimated that by 2025, the global market for machine vision technologies to improve material sorting process will reach a value of US$1.5 billion, with a compound annual growth rate (CAGR) of 25% between 2020 and 2025 – Picvisa. Utilising advanced AI models trained with near-infrared (NIR) spectroscopy and incorporating self-supervised learning with masked signal modeling (MSM), this technology achieves over 95% accuracy in resin classification. This precision surpasses existing methods, reducing contamination and improving the purity of recycled materials. AI-based plastic sorting, Industrial plastic recycling Waste Management & Recycling, Industrial Waste Management, Sustainability, Circular Economy

Access to clean and safe drinking water is a critical issue in many parts of Asia, particularly in rural and less accessible regions. A large portion of the population relies on surface or groundwater for daily consumption, yet as many as 240 million people are exposed to water that exceeds World Health Organization (WHO) safety limits. The increasing contamination of water sources due to anthropogenic activities such as industrial pollution, agricultural runoff, and inadequate sanitation has made water treatment essential. However, most portable water treatment systems currently available lack a vital feature: real-time monitoring of the treated water’s quality. This leaves consumers uncertain about whether the water they are drinking is truly safe, especially in unpredictable environments where water quality can fluctuate.  This technology combines IoT technology with water monitoring, offering real-time monitoring and feedback on water quality. This portable system allows users to remotely control and manage the treatment process, ensuring operational efficiency even in rural areas. With water-saving features and a low-maintenance design, it provides a sustainable and reliable solution for safe drinking water in remote and resource-limited regions.  The technology owner seeks collaboration with end users like rural communities, humanitarian organizations, and government agencies focused on water quality. They are also looking for test-bedding partners such as environmental research institutions and NGOs, and solution providers like manufacturers and IoT developers interested in sustainable water treatment and international expansion.  Portability: Compact design, easy to transport and deploy in remote locations. Remote Control: Fully controllable via mobile phone, allowing users to manage water treatment operations remotely.  Real-Time Monitoring: Continuous water quality measurement with real-time data accessible through a mobile app.  Innovative Cleaning System: Advanced cleaning mechanism reduces maintenance and extends operational life.  Modular & Scalable Design: Customizable system modules that can be scaled up or down based on user requirements and water demand.  Off-Grid Applications: Ideal for remote areas without access to conventional water treatment infrastructure.  River/Surface/Groundwater Treatment: Suitable for monitoring treated water from various water sources such as rivers, lakes, and wells.  Rainwater Harvesting: Enhances the usability of harvested rainwater by ensuring its quality through data monitoring.  Consumer Market: Designed for rugged or rural terrains, catering to campers, adventurers, and outdoor enthusiasts.  Military and Outdoor Activities: Useful for army camps and field operations, providing data for safe drinking water in challenging environments. Agriculture Irrigation: Adaptable for small-scale agricultural use to provide purified water for crops irrigation or livestocks.  Real-Time Water Quality Monitoring: Provides continuous feedback on treated water quality, ensuring consumer confidence and safety.  IoT-Enabled Remote Control: Users can remotely control and monitor the system via mobile devices, offering convenience and flexibility.  Water-Saving Backwash Feature: Optimized design reduces water wastage during backwash, promoting sustainability and efficient water use.  Predictive Maintenance Alerts: Integrated system alerts users for timely maintenance, reducing downtime and ensuring consistent operation.  Maintenance Alerts: Integrated system alerts users for timely maintenance, reducing downtime and ensuring consistent operation.  Enhanced Consumer Confidence: The system's real-time monitoring and remote-control features offer greater peace of mind compared to conventional water filtration systems (lacking a monitoring system).  Real-Time Data Acquisition: For monitoring and prediction of water consumption patterns and filter performance.  portable water treatment, water treatment, pollution detection, water, detection, iot, water quality Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems, Sustainability, Sustainable Living

Current additive manufacturing technologies face limitations in material diversity, lengthy post-processing times and difficulties in integrating complex structures or fibers into printed components. As a result, traditional 3D printers and processes struggle to meet the growing demand for more versatile applications. The Advanced Multi-Material Silicone 3D Printer addresses these challenges by enabling 3D printing with a wide range of materials, from soft elastomers to hard epoxies. This technology produces high-resolution geometries with customizable mechanical properties. It enables the fabrication of hollow structures and advanced textures without the need for molds or multi-step processes. It resolves a significant pain point in the production of intricate, flexible components by reducing production time and expanding the range of printable materials. By bridging a critical gap in the market, this technology and its IP offers a flexible, multi-material 3D printing solution that delivers both performance and efficiency. The technology owner is looking for potential partnership through R&D collaboration, IP licensing and test-bedding. Ideal collaboration partners across the value chain include companies in automation, robotics, manufacturing, medical devices, and wearable technology. Key Features:  Multi-material 3D printing: 3D print with a wide range of materials, from soft elastomers to hard epoxies, offering greater versatility in applications Direct ink writing (DIW): printing with support gels enables the fabrication of intricate, high-resolution geometries, including hollow structures and flexible components Automated fiber embedding (AFE): enhanced mechanical properties of printed objects through seamlessly embedding fibers during the printing process Specifications of 3D Printer:  Build volume: 350 x 350 x 400 mm  Printing accuracy: +/- 0.1mm  Control pressure: 1-100 psi  3 Cameras (Front camera, bottom camera and top stereo vision camera) Auto bed levelling Multi-material printing Integrated pressure control  Healthcare: ideal for medical devices requiring elastomer components with complex structures, such as custom prosthetics, orthotics, and implants Automation, Robotics, and Manufacturing: enables the creation of inflatable structures, actuators, and grippers with complex geometries and integrated functionality Wearables: facilitates the production of smart textiles by printing directly onto fabrics, supporting the development of smart clothing with integrated sensors, communication systems, and responsive elements, as well as fashion enhancements Prototyping: offers a rapid turnaround for customized components compared to traditional multi-step elastomer molding methods Other Applications: consumer goods industries that require the fabrication of intricate and flexible components Multi-material product: 3D printed part with varying elasticity and hardness  Seamless integration: enables high-resolution geometries with hollow structures and advanced textures Design flexibility: overcomes traditional molding constraints, allowing for greater creative freedom Time and cost efficient: reduces production and post-processing times compared to traditional multi-step molding techniques   3D, Soft grippers, silicone, epoxy, robotics, additive manufacturing, manufacturing, prototyping, Metamaterials, Healthcare, Fashion, Recycling, Protection enhancement, gel, elastomer, urethane, fibers Materials, Plastics & Elastomers, Manufacturing, Assembly, Automation & Robotics, Additive Manufacturing

In the contemporary landscape of construction and urban development, centimetre-level high-accuracy point cloud maps are of paramount importance, especially when used for 3D digitalization and modelling. The point cloud map provides a robust spatial foundation for various applications, including intricate infrastructure 3D modelling and urban digital twins. Through the generation of 3D models, it can also be utilised for Automated Guided Vehicle (AGV) and Autonomous Mobile Robot (AMR) use-cases. The technology owner has developed a cost-effective and fast 3D mapping and scan-to-BIM product solution. The technology solution utilises cost-effective LiDAR cameras with supplementary proprietary hardware and software to enable a shorter mapping and modelling time while reducing cost. The product solution comes either as a UAV or wearable form factor which is lightweight (< 1kg) while providing comparable accuracy (1 cm) compared to commercialised scanning solutions. With its proprietary AI algorithm, it enables the autonomous fusion and time synchronisation of numerous sensor devices for ease of use and mapping optimisation. The technology owner has engaged in various successful pilot test for data collection and generation of large-scale 3D models. The technology owner is currently seeking collaborative industrial partners who are open to explore a user-friendly and cost-effective 3D mapping product solution to generate their own digital twin to further their operational capabilities. The product solution comes either as a UAV (outdoor) and wearable (indoor) form factor for various scanning application and environment. Compared to conventional LiDAR camera scanning solutions, the technology solution has the capabilities to: Reduce hardware cost by up to 35% Reduce modelling cost by up to 40% Reduce data collection time by up to 50% Reduce modelling time by up to 30% Provide comparable mapping accuracy of 1cm In addition, the production solution has the functionalities of: Being user-friendly Wearable form factor is compact and lightweight (<1kg) Support collaborative mapping and large area scanning using multiple sensor devices via its AI proprietary algorithm 3D digital twin for large scale environment: The generation of 3D digital twin with centimetre-level high-accuracy point cloud maps are of paramount importance, especially when used for 3D digitalization and modelling within the construction and urban development landscape. The technology solution enables the utilisation of 3D scanning solution within indoor and outdoor environments. SLAM optimisation of AGV and AMR use-case: The technology solution enables fast and accurate scanning capabilities to optimise any robotic automation deployed for operation efficiency. The technology solution also enables easy integration to these robotics to enhance their capabilities and functionalities. Consolidation of point cloud datasets: Based on the AI proprietary algorithm, the technology solution is envisioned to consolidate and merge various point cloud dataset/platform to reconstruct an accurate BIM 3D model for operation and usage. Autonomous scan-to-model digital platform: The scanning solution is able to speed up manual point-cloud to BIM processes through the use of AI algorithm capabilities for primitives' detection and spatial reasoning. The cost-effective production solution comprises of lightweight form factor that provide affordable solutions with similar compared to traditional high-end mapping technologies. With the integration of hardware and software capabilities, it reduces mapping and modelling time, reducing labour costs and shortening project timelines. The user-friendliness and ease of integration enables easy compatibility with existing modelling software, minimising any disruption to current workflows. With the proprietary AI algorithm for autonomous sensor fusion, it provides an efficient and scalable mapping solution for large scale and complex environments. Wearable Mapping, LiDAR, Laser Scanning, BIM, Collaborative Localization, 3D Mapping, 3D Modelling, Digital Twin Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Smart Cities, Wearable Technology

To ensure safe and cost-effective operations across various industries, it is essential to identify potential pipeline damage early to prevent leaks. This includes monitoring changes in wall thickness to estimate corrosion rates and alerting operators with advanced warning signals about possible corrosion, allowing for rectification before leaks occur. Conventional thickness evaluation processes require manually scanning pipelines using probes, a method that is tedious and challenging, especially in remote locations. Additionally, the high upfront costs (approximately 75%) of traditional non-destructive evaluation (NDE) methods are often incurred before each pipeline thickness measurement. These costs can be even higher if the pipelines are in inaccessible or harsh environments. To address these challenges, an innovative guided wave monitoring system has been developed, which can be permanently installed at critical points along the pipeline network. This system continuously monitors pipeline wall thickness and assesses potential corrosion damage. Compared to other NDE techniques, it accurately measures corrosion rates, sends early warning signals when wall thickness falls below a critical threshold, and significantly reduces the costs associated with setting up measurement equipment in difficult-to-access environments. The developed solution utilises guided wave tomography, which offers good potential to monitor the thickness of corrosion patches without requiring access to the entire surface. It uses the dispersion characteristics of guided waves and reconstructs a thickness map by inverting ultrasonic signals captured by a transducer array positioned around the inspection area. A novel guided wave tomography method based on full waveform inversion (FWI) is applied to the developed solution for corrosion mapping. It uses a forward solver to predict the scattering of guided wave through defects in the acoustic model, and an iterative inverse model to reconstruct the corrosion profile. At each iteration, numerical modeling is performed to minimize the least-squares residual between the modeled and observed data. This approach overcomes the limitations of ignoring crucial low-frequency effects in travel-time tomography and accounts for higher-order diffraction and scattering in its numerical solver, providing more accurate inversion results. The guided wave tomography method based on FWI is first applied to measure defects at an accelerated corrosion site. The reconstructed thickness map is compared with measurements from a laser profilometer. The technique is also used to predict the corrosion rate, which can then be compared with predictions from Faraday's Law. This guided wave monitoring system can be deployed in the oil and gas industry, where pipeline integrity is crucial to prevent gas leaks and failures. It also has applications in other industries, such as chemical manufacturing, water supply, power generation, and mining, where corrosion and leaks pose risks to safety and efficiency. Key applications include remote monitoring of pipelines in harsh environments, corrosion detection, and early leak prevention. This technology eliminates the need for manual inspections in difficult-to-access areas, making it ideal for offshore platforms and desert pipelines. Marketable products from this technology include permanently installed corrosion monitoring devices, real-time integrity monitoring systems, and early warning systems for gas leaks. Additionally, data analytics platforms could be developed to track corrosion rates, predict future wear, and optimize maintenance schedules. This innovation can significantly enhance safety, reduce inspection costs, and improve operational efficiency across various industries where pipeline integrity is essential. This guided wave monitoring system improves upon current state-of-the-art pipeline inspection technologies by offering: Continuous, real-time monitoring of pipeline wall thickness and corrosion rates.  Eliminates the need for labor-intensive and costly manual inspections.  Provides accurate, real-time corrosion data.  Reduces operational costs.  Enhances safety in pipeline monitoring.  Ideal for industries with complex and hard-to-reach pipeline networks. The technology owner is seeking R&D collaboration and test-bedding opportunities with oil & gas, chemical, power generation, and mining companies, as well as pipeline maintenance and inspection firms, industrial IoT providers, and monitoring equipment manufacturers. Oil % Gas, Energy, Pipeline, Maintenance, Corrosion, Leakage, Ultrasound Electronics, Lasers, Optics & Photonics

A self-sustaining, compact IoT sensor hub, has been developed to solve a critical challenge faced by industries requiring real-time monitoring in remote, hard-to-reach locations. Traditional sensor systems often require extensive wiring, regular maintenance, and external power sources, making them costly and inefficient for long-term deployment. This data logger/transmitter addresses these challenges with its self-sustaining solar-recharging battery system, which powers industrial sensors (4-20mA, Modbus, I2C, Pulse) and enables continuous data monitoring without the need for frequent maintenance or battery replacement. With cellular connectivity options (LTE-M, NB-IoT, GSM) and GPS positioning, the device supports real-time data transmission from sensors, allowing industries such as environmental monitoring, agriculture, oil and gas, and infrastructure to monitor conditions like pressure, temperature, humidity, and flow rates from anywhere. Its rugged design ensures reliable operation in harsh environments, reducing the risk of equipment failure and costly downtime. This plug-and-play solution is easy to deploy, making it an attractive option for industries seeking low-maintenance, cost-effective, long-term monitoring systems. The device is designed to optimize resource management, ensure operational efficiency, and enhance decision-making through continuous, reliable data collection. It is ideal for industries with remote operations or those requiring constant monitoring in challenging conditions. The technology owner is seeking collaboration with system integrators specialising in automation, telemetry, and remote data acquisition. This data logger/transmitter is a self-sustaining wireless sensor hub designed for real-time monitoring in remote and harsh environments. It features a built-in solar-recharging battery system that powers a wide range of industrial sensors, including 4-20mA, Modbus, I2C, and Pulse. The device is equipped with multi-network cellular connectivity options, including LTE-M, NB-IoT, and GSM, along with GPS positioning for accurate location-based data collection. The rugged, weather-resistant design ensures reliable, long-term operation without frequent maintenance. The device supports seamless plug-and-play deployment, enabling effortless integration into existing systems for industries requiring data on temperature, pressure, humidity, water levels, and more. The Ideal collaboration partners include:  Sensor manufacturers: Integrating with specialized sensors for various industrial applications. Telecommunications providers: Expanding IoT network coverage for better connectivity in remote locations. Energy companies: For monitoring remote pipelines, solar farms, or oil fields. Environmental monitoring agencies: Tracking climate data, water levels, and air quality in isolated regions. Agriculture and smart farming firms: Enabling precision farming with real-time environmental data. With this data logger/transmitter, industries can remotely monitor critical data, ensuring operational efficiency and reducing the need for manual inspections or costly maintenance. Environmental Monitoring Air Quality Control: Measure pollution levels in urban or industrial zones. Flood Detection: Monitor water levels in rivers or reservoirs to provide early flood warnings. Agriculture & Smart Farming Precision Agriculture: Monitor soil moisture, weather conditions, and irrigation systems to optimize crop yield. Livestock Management: Track environmental conditions affecting livestock health. Infrastructure Management Structural Health Monitoring: Track vibration or stress on bridges, buildings, and roads. Smart Cities: Enable remote management of utilities, street lighting, and waste management systems. Utilities and Energy Remote Energy Monitoring: Manage solar farms, wind turbines, or hydropower plants with real-time data. Water Utilities: Detect leaks or monitor water quality in reservoirs and pipelines. Oil & Gas Pipeline Monitoring: Track pressure, flow rates, and potential leaks in remote pipelines. Wellhead Monitoring: Gather data on well conditions, reducing the need for manual inspections. The global IoT market is projected to reach $1.4 trillion by 2027, with significant growth in industrial IoT driven by the demand for remote monitoring in sectors such as oil & gas, agriculture, utilities, and smart cities. Additionally, the industrial sensors market is expected to grow to $31 billion by 2028, reflecting strong opportunities for innovative solutions. Self-Sustaining Operation: Unlike traditional systems that require frequent battery changes or external power sources, the device is solar-recharging battery ensures long-term, maintenance-free operation, reducing downtime and labor costs. Affordable for Mass Deployment: The device is designed to be cost-effective for large-scale implementations. Its low-maintenance, plug-and-play nature significantly lowers installation and upkeep expenses, making it ideal for mass deployment across industries. Wide Sensor Compatibility: Supporting a range of industrial sensors (4-20mA, Modbus, I2C, Pulse), the device is adaptable to multiple applications without requiring expensive custom solutions, making it more versatile and budget-friendly than many specialised systems. Compact and Durable Design: The device is small, rugged form factor makes it easy to deploy in tight or remote spaces, while its durable build ensures long-lasting performance even in harsh environments, minimising the need for maintenance or replacements. Global Connectivity: With LTE-M, NB IoT, and GSM connectivity, it ensures real-time data transmission even in remote areas, where traditional systems often struggle to maintain reliable communication. Solar-Powered Sensor, Remote Monitoring, GPS-Enabled, Real-Time Data Transmission, Cellular connectivity (LTE-M, NB IoT, GSM), Industrial Sensors (4-20mA, ModBus, I2C, Pulse) Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Internet of Things, Wireless Technology, Smart Cities, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems