Industrial AI applications
Problem identification, application exploration and related capability development in areas such as machine vision.
Explore
We start with real enterprise problems and work with businesses, universities and industry organisations on technology applications, practical learning and international cooperation.
Problem identification, application exploration and related capability development in areas such as machine vision.
ExploreTurn key tasks in real settings into capability requirements that can be trained, observed and assessed.
ExploreExplore international practice around industry problems, drawing on course cooperation and industry exchanges in Singapore.
ExploreProblem identification, application design, courses and practice around visual-inspection tasks. Algorithms, equipment and systems are supplied by the participants agreed for each project.
ExploreNeeds analysis, role-task analysis, practice design and project coordination for drone task planning, maintenance and data processing. Implementation conditions are agreed by project.
ExploreTask analysis and capability development for assistive equipment, health data and service workflows. Existing institutional agreements and actual implementation are described separately.
ExploreClarify the problem and who needs to make which decisions.
Specify actions, tools and work products.
Translate tasks into practical learning and assessment requirements.
Review processes, outputs and enterprise feedback, then refine the tasks.
R&D testing can start with data governance, test protocols and engineering workflows. In-plant logistics can start with process modelling, dispatch rules and role coordination. Existing technical cases remain industry references; specific responsibilities are agreed by project.
Industry references