TECHINNOVATION TECH OFFERS

Acknowledging the importance of high-quality data, this project aims to revolutionize data lifecycle management in the AI to improve data accessibility, collaboration, and commercialization. The solution enables (i) efficiently clean, process and extract valuable data assets from high volumes of mass data, and (ii) contribute and commercialize high-quality data assets without disclosing the actual data. DataS comprises three pillars: (1) GLASSDB serves as an end-user database, including add-in tools for data cleaning, visualization, security, aiding data owners in preparing data for future transactions. (2) Apache SINGA offers a powerful machine learning library to allow users to efficiently apply or develop AI models on their data. (3) Falcon enables privacy-preserving federated learning. It allows multiple parties to develop AI applications using joint data without compromising privacy.

Monitoring for product or part surface defects and anomalies such as cracks and chips throughout the manufacturing process is vital for product quality assurance and control. Traditional inspection or machine vision systems often struggle with complex and nonlinear defect patterns, leading to false positives and missed defects. Deep Learning AI-based detection methods, particularly those using deep neural networks (DNNs), typically require a sufficiently large amount of labelled training data to be effective. However, gathering and labelling such data can be time-consuming and costly, especially for rare or specialized defects. The technology owner has developed a cost-effective system solution leveraging on neuromorphic AI to utilise the principles of human cognitive memory with machine learning to detect surface defects and classifies them reliably and accurately. The system solution includes their patent-pending neuromorphic AI framework architecture with complementary hardware modules, patented lighting system and proprietary software platform. Through the use of neuromorphic edge-AI chip, the proprietary AI model requires smaller training dataset supported incremental learning capabilities, resulting in a high precision, high accuracy system overtime. As the system is camera agnostic and customisable, it enables easy integration and retrofitting to various industrial applications. There are currently a few ongoing POC projects with industrial partners for automating and enhancing quality checks within their manufacturing line. They are seeking industrial collaboration opportunities who are open to explore surface defect detection for quality assurance or monitoring applications.

The Edge AI-based Drone System for Pipe Inspection and Monitoring addresses the need for efficient, accurate, and real-time pipeline infrastructure inspections. It leverages edge AI processing to detect defects, offering a significant advantage over traditional methods. Unlike conventional systems that rely solely on optical cameras, this solution integrates both optical and thermal imaging, enhancing the detection of various pipeline-related issues. The system’s unique value proposition lies in its ability to process data locally on the drone, ensuring immediate issue detection and minimizing data breach risks by reducing the reliance on cloud processing. The technology owner is seeking collaboration with SMEs specializing in drone manufacturing, AI and machine learning, thermal imaging, industrial inspection services, telecommunications and IoT, and data security, which offer complementary expertise for the development and commercialization of the technology.

A variety of force sensors have been adopted for different applications. Among them, sheet-type sensors, designed to be installed on curved surfaces, are typically categorized into two types: resistive type sensors that rely on the deformation of conductive materials, and capacitive type sensors that utilise the deformation of elastic materials. However, both types face limitations due to the restricted amount of deformation of the materials used. Consequently, these sensors often have a narrow force detection range (dynamic range), making it challenge to measure both low and high forces with a single device. To address this, the technology owner has developed an innovative, large-area force sensing device leveraging a unique built-in wire structure. This device is capable of detecting surface pressure distribution in a matrix with high linearity across a broad range of loads, from low to high. The detection level of capacitance exhibits excellent linearity against applied loads. By integrating conductive wires into a large elastic sheet, the device is scalable, making it suitable for large-area applications. This technology offers versatile applications across various sectors. In smart retail shelves, it can monitor product status and inventory levels over the entire surface. In robotics, it enables full-body tactile sensing for the entire surface of a humanoid. In automotive applications, it can detect and monitor the status of drivers and passengers. The technology owner is seeking R&D collaboration and licensing opportunities with industrial partners, particularly in robotics, automative, retail and logistics sectors, to explore potential applications.

High-risk industrial sectors, represented by the chemical industries, are prone to experience production safety accidents. When these incidents occur, the consequences can be severe. Traditional risk management methods, often rely on manual processes, have limitations such as insufficient oversight, incomplete management, and ineffective control. These methods also struggle to provide timely pre-incident warnings, active interventions during incidents, and reliable post-incident evidence collection. To address these challenges, the technology owner has developed an intelligent industry solution leveraging cutting-edge artificial intelligence (AI) technologies, such as computer vision, the Internet of Things (IoT), and big data. By integrating enterprise camera systems with algorithms on server platforms, it establishes an advanced risk detection and management platform based on intelligent video analysis. This platform enhances the safety management through comprehensive risk perception and control, proactive hazard identification, predictive warnings, and visual decision-making assistance. Ultimately, it realizes comprehensive safety and intelligent management capabilities for high-risk industrial enterprises. The technology owner seeks collaboration with industrial partners interested in artificial intelligence, such as companies in chemical and energy sectors, as well as hardware providers, such as manufacturers of surveillance cameras, to co-develop and implement this technology to meet specific needs.  

The global heating industry is undergoing significant transformation as the demand for energy-efficient and eco-friendly solutions increases. Traditional wire heating systems are inefficient with limitations such as uneven heat distribution, high power consumption, and restricted flexibility and high carbon emission. These challenges necessitate the development of advanced heating materials that can offer higher efficiency, lower energy consumption, greater flexibility, and adaptability to various applications. In response, the technology owner has developed an innovative flexible intelligent electrothermal film made from carbon fibers, representing a novel electrothermal conversion material. Through independent research and development (R&D) in large-scale preparation and modification, this technology has achieved low-voltage and high-efficiency energy conversion. By incorporating intelligent power management, this electrothermal film overcomes many limitations of traditional resistance wire heating and offers unique surface radiation benefits, delivering more than 30% energy savings. Its scalable production and unique performance advantages position it as a key technology to address the heating needs of the future. The technology owner has expertise and large-scale production capabilities and is actively seeking R&D collaboration opportunities with industrial partners to explore potential applications.

The Smart Energy Management Platform (SEMP) is designed for homeowners and building owners/operators facing rising energy costs due to fluctuating energy prices and the impact of climate change. As an all-in-one solution, SEMP integrates distributed energy resources such as solar photovoltaic (PV) systems, electric vehicle (EV) chargers, and battery energy storage systems (BESS) into a single, user-friendly platform. Unlike standalone systems that offer limited monitoring, SEMP employs advanced AI algorithms to optimize energy use, reduce electricity bills, and maximize savings. Additionally, the platform enables Peer-to-Peer (P2P) energy trading, allowing users to trade excess renewable energy within a decentralized network. SEMP also tracks and aggregates carbon credits, helping users contribute to sustainability goals. With its holistic approach, SEMP not only simplifies energy management but also provides users with a seamless way to participate in the renewable energy market, improving efficiency and lowering overall energy costs. The technology owner is seeking partnerships with renewable energy companies, EV manufacturers, utilities, real estate developers, facility managers, government agencies, automation firms, and carbon credit agencies.

The technology on offer are three types of specialised polyolefin materials that can be utilized across various industries. These materials were developed to exhibit special properties such as excellent gas and moisture properties, good releasability and ability to impart a silicone-like water and oil repellence respectively. With these superior properties, the materials are suitable to be used in the development of different applications across various sectors. The first material is a co-polymer that combines the performance of polyolefin resins with amorphous resins. It features excellent moisture resistance, chemical resistance, and non-adhesive properties, making it ideal for use in medical packaging materials, such as press-through package (PTP) sheets that demand high moisture protection. The second material is a transparent, lightweight polymer with superior heat resistance and release properties. Its resistance to heat, chemicals, and its excellent release characteristics makes it a good alternative to polytetrafluoroethylene (PTFE) for industrial and food-related products requiring reliable release capabilities. The third material is an additive that enhances stain resistance, providing silicone-like water and oil repellency. As a non-fluorinated alternative to per- and polyfluoroalkyl substances (PFAS), it is suitable for applications requiring waterproof and oil-repellent surfaces. The technology owner is seeking to collaborate with partners on the co-development of innovative applications using these specialised materials: Microfluid chips Medical tubes Filament for new synthetic fabric

With the global population rapidly aging, the prevalence of dementia is becoming an increasing concern. As more elderly individuals suffer from cognitive decline, including memory loss and impaired daily functioning, the need for effective interventions is urgent. Dementia, a condition affecting many worldwide, not only diminishes the quality of life for patients but also places a heavy burden on caregivers and healthcare systems.  In response to these challenges, this solution offers a novel method to help dementia patients maintain cognitive function through engaging therapeutic activities. The solution is a cognitive stimulation system that leverages motion tracking and multi-sensory feedback to help users recall familiar actions from their daily lives. By recreating activities such as ironing or spreading jam, the device taps into procedural memory, allowing users to re-enact tasks they once performed regularly. This process stimulates recollection, helping to evoke personal memories and improve cognitive agility. The technology owner is interested to work with:  (1) companies to co-develop/ out-license the technology to help serve more patients and elderly; (2) healthcare facilities such as hospitals or nursing homes for validations and trials.