Draft Full Paper Due:
April 15, 2022

Notification of Draft Paper Acceptance:
April 28, 2022

Final Manuscript Due:
May 05, 2022

Author Registration Deadline:
May 05, 2022

Conference Dates:

May 27-29, 2022

 

Home > Invited Speakers
INVITED SPEAKERS

Assoc. Prof. Suzaimah Ramli

National Defence University of Malaysia, Malaysia

Suzaimah Ramli received her PhD in Electrical, Electronic and System Engineering from Universiti Kebangsaan Malaysia in 2011, Master of Computer Science from Universiti Putra Malaysia in 2001, and Bachelor of Information Technology (Hons) from Universiti Utara Malaysia in 1997. Her research interests include image processing and artificial intelligence applications in various domain particularly in education, digital media, security and defence. Currently she is working as an Associate Professor at Department of Computer Science, Faculty of Defence Science and Technology, National Defence University of Malaysia. She is a member of Malaysia Board of Technologist and Informatics Intelligence Special Interest Group, UPNM. She has published and presented most of her research findings to various international conferences and articles in many international journals specifically in her research niche.

Speech Title: "Image Detection Application for Military Uniforms and Non -Uniforms Using Deep Learning Method"

Abstract: Using the deep learning method, this study describes the method of detecting Uniforms that is the No.3 Shirt of the Malaysian Army and Non -Uniforms that are Planters Order and Game Order shirts in the image. Deep Convolutional Layer has been trained and integrated into this application to detect Uniforms namely the No.3 Shirt of the Malaysian Army and Non -Uniforms namely Planters Order and Game Order shirts using information from the Internet, open-source tools, and computer vision technology. The Yolov4 model was given a large image data set to train this tracking application, and a transfer learning method was used to speed up the training. The results revealed that when tested Image Detection Application for Military Uniforms and Non -Uniforms Using Deep Learning Method, achieved excellent accuracy.