TECHINNOVATION TECH OFFERS

The technology owner has developed a digital identity and networking solution in a form of a digital platform. This identification and authentication platform enables the creation, management and storage of digital and physical business cards and information in a centralized convenient location. The solution allows different methods of information exchange and storage, such as NFC, QR code, OCR or manual entry. The platform also provides a portfolio storage and service marketplace to enhance modern professional interactions and activities.

Conventional semiconductor lasers, such as distributed feedback (DFB) lasers, can achieve narrow linewidths but are limited in power output. On the other hand, high-power lasers tend to suffer from broad linewidths due to multimode operation and thermal effects. Narrow-linewidth lasers often rely on external optical feedback systems to reduce frequency range to the kHz or sub-kHz range to increase its precision. While effective, these systems add complexity and cost, requiring precise optical alignment. When the cavity size of conventional semiconductor lasers is increased, multimode lasing typically occurs, which broadens the frequency range and lowers precision as the power output rises. As a result, high-power, narrow frequency range lasers face challenges in scalability due to issues like thermal effects, multimode operation, or the reliance on external stabilization systems. The technology owner have developed a photonic-crystal surface-emitting lasers (PCSELs) for optical systems that provides high power output (up to 10W) with narrow intrinsic linewidths (~1 kHz), a performance that conventional semiconductor lasers cannot achieve without external stabilization systems. This technology solution intrinsically able to achieve kHz-class linewidth without the need for external feedback systems, simplifying the design and eliminating the need for complex setups. The photonic crystal design enables single-mode lasing over a large lasing area (1mm in diameter) without compromising on beam quality or frequency spread. This allows PCSELs to be used in high power and high precision applications, such as free-space optical communication and spaceborne LiDAR systems. The technology owner has demonstrated that by scaling up the lasing area, even higher power and narrower linewidths (<1 kHz) could potentially be achieved. The technology owner is seeking collaboration opportunities with industrial partners looking to explore this next generation optical system for laser and communication applications.

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.

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. 

In the preparation of traditional Asian dishes such as soups, curries, and noodles, achieving the perfect balance of saltiness is crucial for flavor consistency. However, many chefs, food manufacturers, and home cooks rely on subjective taste assessments, which can lead to inconsistent results. This becomes particularly challenging when scaling up for mass production or when catering to individuals with specific dietary needs. Current salinity testing methods are often cumbersome, require lab equipment, or are not tailored for quick, accurate, and portable use in kitchen environments, making it difficult to ensure the precise salt levels necessary for quality control. The technology provides a quick, accurate solution for measuring salinity in liquid foods like soups, curries, and noodles, ensuring consistent flavor balance. Its portable design and easy calibration with saline solution make it convenient for chefs, food manufacturers, and home cooks alike. The device displays precise salinity levels and uses intuitive facial icons for easy interpretation. By eliminating guesswork, the technology helps maintain flavor consistency, improves efficiency, and meets dietary requirements with precision. The technology owner is seeking partners in healthcare, catering, and food manufacturing for licensing and IP acquisition of the technology.

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.

Graphene-based antibacterial composite materials are a class of materials that combine graphene's unique properties with antibacterial agents to create surfaces or textiles that can effectively kill or inhibit the growth of bacteria. With its inherent antibacterial properties, graphene’s large surface area and high conductivity makes it an ideal carrier for functional molecules that exhibit antibacterial properties naturally. The technology on offer is a proprietary process to prepare and application of a green and multifunctional graphene-based antibacterial composite material for textiles. These materials can be applied to various textile materials and products, possessing antibacterial, antiviral, and deodorizing properties. Featuring high efficiency (99%), broad-spectrum coverage, non-toxicity, functionalised textiles can be used in healthcare and consumer products for long-lasting and multifunctional antibacterial properties. It is non-leaching and more eco-friendly compared to traditional chemical antibacterial products. This technology can endow textile products with antibacterial, antiviral, and deodorizing properties, enhancing the added value of traditional textile materials for safe and non-toxic antibacterial performance. The technology owner is interested in joint R&D projects with companies looking to incorporate this graphene-based antibacterial composite and develop new eco-friendly and multifunctional antibacterial textile products.  

Elderly individuals commonly suffer from tooth sensitivity due to enamel erosion, gum recession, and reduced mineral content in their teeth. This sensitivity can make eating, drinking, and maintaining oral hygiene painful and uncomfortable. Conventional toothpastes may offer temporary relief but often fail to restore lost enamel or prevent long-term sensitivity, leaving elderly individuals without a lasting solution. The developed toothpaste is designed to address these issues through the use of hydroxyapatite extracted from fish bones. Hydroxyapatite, a mineral resembling human bone and tooth structure, effectively replenishes lost minerals, strengthens enamel, and reduces tooth sensitivity. It helps to strengthen the tooth enamel by increasing mineral content and density through its nano-hydroxyapatite particles. The particles integrate into the enamel’s matrix, helping to remineralize and restore hardness. The toothpaste coats the teeth, filling microcracks and dentinal tubules, significantly reducing dentinal hypersensitivity, a key cause of tooth pain in older adults. Additionally, the nano-hydroxyapatite has antibacterial properties, reducing the need for additives like Triclosan. As a result, the toothpaste provides a cost-effective, sustainable, and highly beneficial solution for tooth sensitivity in the elderly, while also supporting environmental conservation and public health. The collaborator is seeking a partner to provide starting materials, experts in waste management, or with a large-scale production capacity to support R&D and test-bedding for the further development of this technology.

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.