Discover the possibilities of solving real-world problems when artificial intelligence (AI) and image processing come together.
In recent years, image processing and AI have been actively applied to solve complicated real-world problems, e.g., traffic surveillance, development of a self-driving autonomous car, cancer detection, depression prediction to name a few.
Digital image processing is the use of a digital computer to process digital images through an algorithm, whereas artificial intelligence (AI) is intelligence that perceives, synthesizes, and infers information, which is demonstrated by machines.
In this talk, we will explore basic image processing steps as well as AI algorithms. Furthermore, we will investigate the feature extraction process from images in detail. Finally, we will end with a hands-on demonstration of hand sign language recognition using image processing and machine learning algorithms. Note that sign languages are languages that use the visual-manual modality to convey meaning, instead of spoken words.
This event will be held in-person and online via zoom.
About the speaker
Md Azher Uddin
Md Azher Uddin received his B.Sc. degree in Computer Science and Engineering from International Islamic University Chittagong, Bangladesh in 2011 and the Masters leading to a Ph.D. degree in Computer Science and Engineering from Kyung Hee University, South Korea, in August 2020. He is currently working as an Assistant Professor with the Department of Computer Science, Heriot-Watt University Dubai Campus, United Arab Emirates. His research interests include image processing, computer vision, machine learning and big data analytics. With 10 years of research experience, he has published more than 40 papers including 13 SCIE indexed journal papers.
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This event is brought to you by: BCS Middle East section