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Objectives

- Identify the requirements for vision systems in various industrial applications- Understand the fundamentals of computer vision technology and core vision analytics theories and algorithms- Design and apply vision analytics algorithms to solve industrial use-case scenarios- Design and build vision systems in domains such as security surveillance, manufacture, consumer electronic, healthcare, urban solution.- Assess the performance and usefulness of various vision systems

Who Should Attend

- Data scientists who need domain knowledge in vision systems to add more value and insights to their data analytics tasks.- Engineers who need to design, develop, implement and evaluate software and hardware solutions in various applications of vision systems.- Project managers who are managing projects and products related with vision systems.- Working professionals who are seeking to refresh or strengthen existing skills in vision systems.

Entry Requirements

- Participants should have intermediate understanding of linear algebra, vector calculus and probability. Previous knowledge of visual computing or signal processing will be helpful.- Participants should have intermediate skills in Python programming (e.g.Numpy, Pandas), and/or OpenCV programming (e.g., able to apply filtering and transformation on the image)

Class Schedule

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Tutorial Schedule

Lesson Delivery

Full Fees (before GST)

S$4500.00

Nett Fees payable after SSG Funding

3600

Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Last updated: 12 April 2024