Optical applications and visual inspection technology

We leverage advanced optical technologies in the research and development of new products and manufacturing processes. Our focus includes developing light-based applications that enhance product value, digitization technologies that improve productivity, and automated visual inspection systems that ensure product quality.

Applied optical technologies

We develop advanced laser processing technologies (such as welding, microfabrication, and surface modification) by leveraging physical phenomenon analysis and thermal-fluid analysis to enhance productivity and product quality. In pursuit of a carbon-neutral (CN) and circular economy (CE), we are also working on high-efficiency laser-based drying and component dismantling technologies. Additionally, we design optical components and systems optimized for processing applications and develop mid-infrared semiconductor lasers and detectors for sensing, enabling the detection of greenhouse gases (GHG) and other critical substances.

Cyber-physical system technologies

Our research focuses on converting complex and previously ambiguous physical phenomena into precise, quantifiable digital data. We develop advanced optical sensing architectures leveraging photonic technologies, combined with AI-driven algorithms for real-time measurement, quantitative analysis, and anomaly detection. Furthermore, we leverage this digitized information to enable the automated control of manufacturing processes, ensuring optimal conditions for efficiency and quality.

Inspection and image processing technologies

We develop automated inspection solutions that improve productivity and ensure consistent quality in manufacturing. By combining advanced image sensing with AI-driven image processing, our systems can perform visual inspection and detect equipment anomalies with human-level accuracy. In addition, we are developing technologies that make implementation and operation on the factory floor easier and more efficient, including AI model monitoring and the use of generative AI to simplify deployment.