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Graduate Certificate in Intelligent Sensing Systems



Overview

Intelligent sensing systems make sense of sensory data, including vision, audio and 3D sensory data. It has emerged as the primary enabling technology for a wide range of applications over the past decades, and will continue to contribute to be the core component of future technologies. To be more specific, computer vision is a subset of mainstream artificial intelligence that deals with the science of making computers or machines visually enabled, i.e., they can analyse and understand image data. The visual data collected by the cameras can be converted into meaningful insights which can be acted upon to help improve business processes and strategies.
This graduate certificate teaches the skills and techniques required to build Intelligent Sensing Systems that are able to make decisions based on visual and audio sensory signals. Example systems include object detection and human behavior understanding in video surveillance, defect segmentation in manufacture, 3D vision localisation for robot and vehicle control, human activity recognition using audio-visual data, etc.


Key Takeaways
  • Develop, design and integrate intelligent systems that can reason and make decisions based on visual and audio inputs.
  • Build intelligent sensing systems, such as object detection, segmentation, and tracking; video analytics and behavior understanding; 3D and RGB-D vision processing; multiple modal data sense making from audio-visual data
  • Apply current best practices and tools for building intelligent sensing systems, implementation and optimisations.

Reference No: TGS-2024044926
Duration: 22 days
Level: Specialist
Area: Intelligent Sensing Systems
This graduate certificate is a part of the Stackable Graduate Certificate Programme in Artificial Intelligent Systems

Modular Courses

Practice Module Application
For Stackable students who want to apply for the Practice Module of the Graduate Certificate in Intelligent Sensing Systems, please click the button below to find out more details.
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Fees & Subsidies

Please email ask-iss@nus.edu.sg for more details. 

Instructors






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