TECH OFFERS

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

The rise of AI adoption in a more digitalized world comes with the increasing hunger for computing power with higher performance while having lower latency. With conventional computing components not being specialized for these tasks, hardware, architecture and chips are developed and optimized to process specialized AI algorithm operations, bringing cloud computing closer to the edge. Resistive random-access memory (RRAM) is considered as the next generation of memory technology for neuromorphic computing applications due to its non-volatile, high-performance computing and ability to provide both computing and storage capabilities within a single chip. However, current RRAM technology is still heavily researched and faces challenges such as scalability limitations, high latency, and complex design largely due to its analog nature. The technology owner has developed a technology solution in the form of a neuromorphic chip. By incorporating its patent-pending optimized architecture design and proprietary peripherals, the technology solution enhances RRAM’s capabilities while eliminating its challenges. With its integration with RRAM, it is able to engage in in-memory computing within a unified architecture, lowering latency while enhancing energy efficiency (up to 30 TOPS/W). The architecture enables seamless integration with field-programmable gate arrays (FPGAs), simplifying the design process with re-programmability in mind. With its modular dual-core arrays (up to 128x128) design, it enables RRAM to be easily scaled for complex AI algorithm and large-scale data processing within devices. With these capabilities, it accelerates the adoption of neuromorphic chips for the use of edge-AI applications. The technology owner is seeking collaborative partners focusing on AI hardware and software development to further accelerate the widespread use of AI applications and industrial partners keen on exploring further integration of edge-AI capabilities into their product to unlock more sophisticated and reliable solutions. Through the integration of the optimised architecture and supporting proprietary peripherals into RRAMs, it enables the technology solution to: Engage in simultaneous computation and storage capabilities (in-memory computing) whereby conventional chip architecture separates these functions Increase system efficiency by reducing data transfer bottlenecks common in traditional systems via its simplified design Increase peak efficiency (to 30 TOPS/W) for various demanding AI inferencing processes due to the optimisation of interfacing between RRAM and digital components via its proprietary peripherals Supports modular dual-core array chip architecture (up to 128x128) for scalability to handle complex AI algorithm and large-scale data processing tasks Compatible with FPGAs which enables development of programmable software algorithms for customisation and specific application needs Resistance to radiation due to its RAD HARD robust design making it suitable for extreme environments Able to achieve the harsh standard requirement of automotive grade chips (e.g. operating temperature, error rate, lifespan) With this technology solution, it accelerates the industrial adoption of RRAMs by reducing its limitations while enhancing its capabilities. Some potential applications include: - Neuromorphic Processors: With higher energy efficiency and lower latency, it empowers edge-AI devices for more advanced AI applications such as deep learning, neural networks and real-time data processing. - Automotive: Enhancement of existing advanced driver-assistance systems (ADAS) where rapid data processing and storage and low latency are critical in its optimal operation - Consumer Electronics: The scalability and high energy efficiency enables RRAM to be deployed in smart devices, enhancing the functionality and performance of smart home devices, wearable technology and other IoT applications - Data Analytics (e.g. finance, telecommunication, data center): Due to its low latency and ability to manage and process data efficiently, it enables fast processing of large datasets to provide insightful real-time analytics for users - Extreme Environment AI Application (e.g. military operation, space exploration, nuclear facilities): Being resistant to radiation enables the use of electronics in extreme environment while providing the full functionalities of RRAM The global AI chipset market is valued at US$51.19 billion in 2023 and is estimated to be valued at US$131.78 billion by 2028, exhibiting a CAGR of 20.8% during the forecasted period. In particular, the global AI hardware processor chipset is valued at US$15.08 billion in 2023 and is estimated to be valued at US$50.66 billion by 2028, exhibiting a CAGR of 27.4% during the forecasted period. The technology solution introduces an optimized architecture design with supplementary proprietary peripherals for analog RRAM into a form of a neuromorphic chip, enabling both computational and storage into a unified architecture. With this solution being integrated into RRAM, it tackles existing RRAM challenges resulting in reduced latency, improved energy efficiency and enhancing resilience to extreme environments (e.g. radiation) while delivering high performance (up to 30 TOPS/W). With its scalable architecture supporting dual-core arrays up to 128x128 and compatibility with FPGAs, it provides adaptability, scalability and flexibility to optimize task-centric applications. With the enhancement of RRAM’s capabilities while minimizing its limitations, the technology solution accelerates the deployment and adoption of current and future edge-AI solutions. RRAM, ReRAM, Neuromorphic Computing, In-memory Computing, Non-Volatile Memory, NVM, AI Chip Electronics, Semiconductors, Infocomm, Artificial Intelligence, Smart Cities, High Performance Computing

The Computer Vision-Powered Tool Chest is a cutting-edge solution designed to revolutionize inventory management across industries. Equipped with advanced cameras and computer vision algorithms, this system automates the process of tool tracking and placement verification in real time. Mounted at the top of tool chests or racks, the cameras monitor the presence, position, and organization of tools, instantly identifying missing, misplaced, or misaligned items. This technology is a game changer for industries where efficient tool management is critical, such as aerospace, automotive, and manufacturing. By eliminating manual checks and reducing human error, it improves operational efficiency, minimizes downtime, and ensures optimal tool availability. The system can be easily integrated into existing workflows and is scalable to accommodate varying tool storage configurations. Whether you're in maintenance, repair, and overhaul (MRO), or simply need better control over tool inventory, the Computer Vision-Powered Tool Chest provides a seamless and innovative solution. With its ability to connect to cloud platforms for data analysis and reporting, the system delivers a comprehensive approach to tool management that saves time, cuts costs, and enhances productivity across various sectors. The Computer Vision-Powered Tool Chest consists of several integrated components designed to automate and enhance tool tracking and inventory management. At its core, the system includes high-definition video cameras mounted above tool chests or racks to capture real-time visual data of the tools. The captured images are processed using advanced computer vision algorithms, which are capable of identifying, counting, and analyzing tool presence, placement, and organization. The system also includes an intuitive software platform for monitoring, reporting, and alerting users in case of missing or misplaced items. Data is stored on cloud-based services, allowing for seamless integration with existing inventory management platforms and real-time access to tool usage analytics. The system is designed to support a wide range of tools and storage configurations, making it highly adaptable for various operational environments. Ideal Collaboration Partners: Manufacturers: Tool manufacturers interested in integrating smart technology into their products to offer value-added services to customers. MRO Providers: Maintenance, Repair, and Overhaul companies looking for efficient, automated tool tracking and inventory solutions. Logistics Companies: To optimize tool distribution and reduce losses. Industrial Automation Providers: Companies specializing in smart factories and Industry 4.0 solutions to expand the range of automation systems. Cloud Service Providers: For seamless integration and data management. This technology offers a comprehensive solution for industries that rely on accurate tool management, reducing manual intervention and improving operational efficiency The Computer Vision-Powered Tool Chest has broad applications across multiple industries where efficient tool tracking and management are critical. Its primary deployment is within Maintenance, Repair, and Overhaul (MRO) operations, particularly in sectors like aerospace, automotive, and manufacturing, where misplaced tools can cause costly delays, safety issues, or regulatory non-compliance. In the aerospace industry, this technology ensures that specialized tools are always available and correctly placed, preventing downtime and improving workflow efficiency. Similarly, in automotive manufacturing and assembly lines, the system can track tools, reducing production stoppages due to missing equipment. Beyond MRO, warehousing and logistics companies can use this technology to streamline the organization of tools and equipment, optimizing their supply chain operations. The construction industry can also benefit from real-time monitoring of high-value tools on-site, minimizing theft and loss. This technology can be adapted into a range of products, including smart tool chests, automated tool racks, and integrated inventory systems for tool-heavy environments. By integrating it with cloud-based platforms, companies can also market remote monitoring and management systems for tool inventories, providing real-time data analytics to further enhance efficiency. This adaptable and scalable solution can revolutionize how tools are managed across industries, enhancing productivity and reducing operational risks. The Computer Vision-Powered Tool Chest offers a major improvement over traditional tool tracking systems like manual checks, barcodes, or RFID tagging. By using advanced computer vision, the system automates real-time tool detection and placement verification, eliminating the need for manual scanning and reducing errors. Its unique advantage lies in providing instant alerts for missing or misplaced tools, enhancing efficiency and reducing downtime. With cloud integration for seamless data monitoring, it offers a scalable, cost-effective, and flexible solution for industries like aerospace, automotive, and construction, ensuring accurate tool management with minimal human intervention. Infocomm, Artificial Intelligence

This software platform is a revolutionary remote monitoring and control system designed to address several critical challenges faced by various industries. Problem Solved:  Centralized Monitoring: Many customers struggle with the lack of a unified platform for real-time monitoring of devices, leading to reliance on manual interventions and multiple scattered tools. The software consolidates the management of IoT devices across diverse locations into a single interface, streamlining operations.                        Data Analysis Challenges: Businesses often find it difficult to extract meaningful insights from collected data due to time-consuming manual analysis. The software automates this process, enabling users to interpret trends and identify potential issues effortlessly.  Data Visualization and Alerts: Users frequently lack intuitive interfaces for visualizing device data or receiving timely notifications. The software provides customizable dashboards and configurable alerts, allowing proactive management of potential problems. Target Market: The software platform caters to a wide range of sectors including facility management (monitoring HVAC, lighting, energy consumption), industrial operations (predictive maintenance), agriculture (environmental monitoring), and smart cities (traffic flow and air quality). Market Need: The technology addresses a significant gap in the marketplace by offering an integrated solution that enhances efficiency, reduces operational costs, and improves decision-making through advanced data visualization and automation. This software positions as a valuable asset for organizations seeking to optimize their monitoring processes and resource management. The technology owner is seeking collaboration with system integrators, facility management teams, IoT companies, and startups. The software platform boasts several key technical features that enhance its functionality and usability in remote monitoring and control applications. Cross-Platform Scalable Web Service: Built on Microsoft .NET 7, it operates seamlessly on Windows, Linux, and Raspberry Pi platforms. It has been successfully deployed in various environments, including Amazon Cloud and local servers, showcasing its flexibility and scalability for different applications. Logging and Message Relay: Efficiently manages IoT devices by collecting real-time data via HTTPS RESTful API. It performs real-time analysis and publishes results to users through secure WebSocket connections while relaying user commands to devices via MQTT. Customizable Data Analysis: Users can perform mathematical functions and time series calculations directly through a web interface, allowing tailored data analysis based on specific needs. Customizable Dashboards: Administrators can create user-specific dashboards that cater to individual or group requirements, enhancing user experience and operational efficiency. Email and Telegram Alerts: The software enables users to configure alerts based on various events, with customizable messages that can include specific device attributes and timestamps. External Interface Capability: The system integrates with higher-level software installations and Building Management Systems (BMS) via BACnet protocols, facilitating centralized monitoring across multiple sites and enabling comprehensive data analysis for optimization. These features collectively position this software platform as a versatile solution for diverse industries, enhancing monitoring capabilities while simplifying user interaction with IoT systems. The technology can be deployed across various industries, offering diverse applications that enhance monitoring and control capabilities. Industries and Applications: 1.   Facility Management: HVAC systems for optimal climate control. Lighting systems to improve energy efficiency. Energy consumption tracking to reduce costs. Fire safety and security systems for enhanced safety. 2.    Industrial Operations: Manufacturers can utilize the software for: Machine monitoring and predictive maintenance to prevent downtime. Process control and optimization for improved productivity. Real-time data analysis to ensure quality control. 3.    Agriculture: Farmers can apply the software for: Environmental monitoring (temperature, humidity, soil moisture). Irrigation control to optimize water usage. Livestock monitoring for better management. 4.    Building Automation: With BACnet integration, the software facilitates: Centralized control of building systems (HVAC, lighting, security). Real-time visualization of energy inefficiencies. Automated alerts for equipment malfunctions. 5.    Smart Manufacturing: The technology supports: Predictive maintenance of production machines. Process data analysis to enhance quality control. 6.    Additional Potential Users: Data centers for critical infrastructure monitoring. Renewable energy management for solar panels and wind turbines. Smart cities for traffic flow and air quality monitoring. Marketable Products Based on this technology, products could include integrated monitoring solutions, customizable dashboards, and automated alert systems tailored for specific industry needs, enhancing operational efficiency and decision-making capabilities. The software platform advances current remote monitoring and control systems with a UVP that addresses key limitations comprehensively. By combining ease of use with advanced features, it enhances operational efficiency across multiple industries and overcomes the shortcomings of existing solutions—such as fragmentation, limited flexibility, and high complexity—positioning itself as an effective, scalable choice. It improves upon current technologies: Unified Platform: Unlike existing solutions that require managing disparate systems for data acquisition, analysis, and alerting, the software provides a centralized platform, simplifying workflows and enhancing efficiency. Flexibility: The software supports various industrial communication protocols, allowing seamless integration with a wide range of devices and systems. This adaptability makes it suitable for diverse applications, from building automation to industrial monitoring. Scalability: The technology is designed to operate across different platforms, including Windows, Linux, and Raspberry Pi. This versatility enables deployments from small setups to extensive building automation systems without compromising performance. Customization: Users can create tailored dashboards and configure alerts based on specific requirements. This level of customization empowers users to proactively address issues and enhances overall operational efficiency. Ease of Use: With a user-friendly interface, the software is accessible to users with varying technical expertise, contrasting sharply with complex enterprise-grade IoT platforms that often require specialized knowledge. IOT, Remote Monitoring and Control Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Internet of Things, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

Controlling the spread of pathogens is crucial in high-traffic areas and healthcare environments. This can be achieved through environmental control methods like sanitising surfaces to prevent diseases from spreading through contaminated surfaces. However, it is labour intensive and impractical to sanitise all surfaces continuously. Antimicrobial coating is an effective way to retard the spread of pathogens on surfaces by inactivating bacteria, viruses and fungi when they contaminate a surface. Despite being commercially available, the cost and durability of the anti-microbial coating technology can still be further improved. Common commercial coatings that are available to consumers have a gradually diminishing antimicrobial strength and mostly only last a few months. It is also difficult for some coatings to adhere onto slippery surfaces like plastics. To address these challenges, the technology owner has developed a cost-effective process to fabricate more durable, high performance antimicrobial coatings on different materials, including glass and plastic. They are seeking industry partners interested to co-develop, scale up and commercialise this coating for various applications. Inorganic coating for enhanced antimicrobial performance which works through multiple pathways in the absence of UV light   Excellent antimicrobial efficacy at >99.99% against E. coli and S. aureus based on ISO 22196 and verified by third party laboratory Good durability with more lasting antimicrobial effect: In-house test with oscillating abrasion tester and zirconia balls as the abrasive media showed that this coating is more mechanically durable than other commercially available coating Possible to achieve >90% visible and NIR light transmission (400-1000 nm) and the transmission level is tunable Low temperature process using chemical bath deposition Suitable for both glass and plastic substrates This coating is a factory applied coating and on glass and plastic surfaces that require antimicrobial function and high transparency such as windows in healthcare environment, high touch surfaces, touch display panels, etc. Other products that may be developed include: Coating for built environment applications Coating for PV systems Air purifying coatings    Cost effective deposition method using chemical bath deposition More durable with better abrasive and scratch resistance than other commercial spray-on antimicrobial coatings  Multi-functional coating that is antimicrobial, anti-reflective and photocatalytic, effective through multiple pathways without UV light antimicrobial, antibacterial, antiviral, film, covid Chemicals, Coatings & Paints, Green Building, Indoor Environment Quality, Sustainability, Sustainable Living