This 5-day intensive course will provide participants with the comprehensive knowledge of computer vision methods and technologies, and the practical skills to design and build vision systems to solve real-world problems. This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Sensing Systems Series offered by NUS-ISS.
Course Description & Learning Outcomes
This course will benefit engineers, scientists, and project management professionals who need to design, develop, implement and evaluate software and hardware solutions in various applications of vision systems. Participants will benefit from a careful balance of lectures and practical workshops, and some of the topics covered will include concepts and techniques for vision system, video modelling and representation, video processing and analysis, feature extraction and representation, vision system using machine learning such as detection, recognition, segmentation, design, build and evaluate real-time vision system, etc. At the end of the course, participants will be able to: - 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
This is an intensive and intermediate course. 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)
- No printed copies of course materials are issued. - Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials. Registration close date: 16/12/2023
Date: 06 Jan 2024, Saturday
Time: 12:00 AM - 12:00 AM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615