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Companies and institutions can now acquire two solutions launched by tech companies operating under Hong Kong’s Smart Government Innovation Lab.
Solution I – Portable Monitor and Notebook
The SpatialLabs arm of a Taiwanese multinational hardware and electronics corporation portable monitor and notebook brings forth an innovative fusion of cutting-edge technologies to deliver a glasses-free 3D experience. The system combines eye-tracking functionality, stereoscopic 3D displays, real-time rendering, and AI capabilities.
Central to this immersive experience is the SpatialLabs Experience Center, featuring three distinct applications. First, the SpatialLabs Model Viewer empowers users to interact with and modify 3D objects, supporting various 3D formats and seamlessly integrating with major 3D development software. Second, the SpatialLabs Player enables the playback and review of 3D videos and images, enhancing content consumption. Lastly, SpatialLabs Go revolutionises real-time rendering, allowing for the transformation of images and videos into 3D formats. This application even supports online streaming and video conferencing tools, broadening its utility.
The applications of the technology span a diverse array of fields. In city management, climate and weather analysis, commerce and industry, and development, this innovation offers new perspectives for data visualisation and decision-making. In education, it provides an immersive platform for STEAM education, enabling students to instantly review their work in 3D.
Moreover, it significantly impacts product development by supporting a wide range of 3D formats and development software, facilitating thorough 3D reviews for product designers. In the medical realm, it revolutionises the review of medical imaging, such as Magnetic Resonance Imaging (MRI), by rendering them in 3D, potentially enhancing diagnostics and analysis. Utilising technologies such as Artificial Intelligence (AI), Augmented Reality, and Virtual Reality, the company’s SpatialLabs opens up a world of possibilities across various domains.
The technology is not confined to a single application but rather presents a transformative toolset with broad implications, from enriching educational experiences to revolutionising data analysis and content creation across diverse industries.
Solution II – AI-based Cross-material Structural Health Monitoring Using Ultrasonic Waves
In response to the evolving demands of modern industries for efficient, accurate, and reliable structural health monitoring, a groundbreaking approach emerges – AI-based Cross-material Structural Health Monitoring using Ultrasonic Waves.
Traditional methods, rooted in physical models and tailored to specific materials, face limitations when applied to diverse materials due to varying mechanical properties. The extensive modelling required for different materials consumes valuable time and resources. However, our innovative AI-based method transcends these constraints by automatically discerning the health status of monitored structures—intact or damaged—by harnessing the distinctive energy distribution patterns of ultrasonic waves in the frequency domain.
Paired with a sophisticated imaging algorithm, it can pinpoint the location of damage. This approach is material-agnostic, unaffected by a material’s mechanical properties or the wave propagation characteristics within structures, making it applicable to a wide spectrum of materials, from metals to composites.
AI-based cross-material structural health monitoring using ultrasonic waves holds immense promise for key industries like automotive, aviation, ship manufacturing, civil infrastructure systems, and the energy sector. It addresses critical requirements for efficient communication and technical solutions in these domains. Moreover, its versatility extends its relevance to an array of applications, spanning city management, climate and weather analysis, commerce and industry, development, education, health, housing, infrastructure, and recreation and culture.
Employing cutting-edge technologies such as Artificial Intelligence (AI), Augmented Reality, and Virtual Reality, this approach diverges from conventional ultrasonic wave-based structural monitoring. Instead of labour-intensive modelling efforts for different materials, it streamlines the process, delivering greater efficiency.
Test results have demonstrated impressive accuracy in damage detection, with rates of 92.86% for aluminium plate and 95.45% for glass fibre-reinforced plastic laminate. With its proven adaptability, this method is poised to revolutionise a multitude of industries, offering a transformative solution for structural health monitoring and inspection across diverse materials and applications.
