Green AI Technology Limited

By utilising advanced AI algorithms and appropriate sensor technologies, this dedicated to designing waste sorting systems tailored to the specific needs of various markets.  The implementation of low-cost, narrow-range near infrared (NIR) sensors  can significantly reduce the costs of material detection hardware. This innovative strategy makes NIR-based waste sorting and recycling more accessible and scalable. Its AI waste management platform is set to support multi-sensor hardware and software, allowing for the integration of diverse sensors and data types and enhanced capabilities for AI application development in waste management. The sorter will be applied across different industries. In the food sector, it can sort items based on customer specifications, check food quality, and identify foreign materials or defects. In pharmaceuticals, it can sort capsules by weight for quality control and product inspection. This multi-sensor approach effectively addresses diverse challenges, driving advancements in science and technology. Ultimately, these efforts will lead to more accurate, efficient, and sustainable waste management solutions.

Key Team Member(s)
LAM HO LOK (Department of Industrial and Systems Engineering)

Dr LAW Yan Nei