Won 11 prizes in various contests participated last year.

Improvement of professionalism in big data AI area during faculty course through the activities of IT’S, an academic club

“A tooth brushing system based on deep learning” was selected as an excellent thesis by Institute of Embedded Engineering of Korea.

[January 13, 2022]

<Students and tutor of IT’S, YU Department of Information and Communication Engineering>

(From upper left, KIM Ji-hun, LEE Chan-ho, JI Jun-young, LEE Bin, NAM Seung-hyeon, BAE Seung-ho, and Professor PARK Yong-wan,

from lower left, KIM Min-jeong, KIM Da-in, JO Na-won, SHIN Su-hyeon, and LIM Chang-han)

YU Department of Information and Communication Engineering is accepted as a delivery room of next-generation core technology talents including big data and AI, etc. The students of the department were accepted for professionalism and practical capability by winning 11 prizes in various public contests for big data and AI, etc.

  The winner of such performances is IT’S of YU Department of Information and Communication Engineering (Tutor, PARK Yong-wan). IT’S is an academic club consisting of more than 120 faculty students. They won the first prize in Marine/Fishery Big Data Analysis Contest last year and their capability was accepted by showing their creative idea in Gyeongsangbukdo Data Analysis Contest, Daegu Big Data Analysis Contest, Marine Police Data Contest Exhibit, and Firefighting Safety Big Data Contest, etc.

  Chair LEE Bin (3rd grade) of IT’S which won six contest exhibits last year said, “Various issues may be solved and improvements may be deduced using big data generated in daily life. We are proud of the possibility that the ideas studied and suggested by us may help the policies of public agencies and decision-making of companies.”

IT’S won in contest exhibits of AI including 9th Embedded Software Contest, SK AI Challenge for Our Society Contest Exhibit, ‘KB AI Challenge, etc., and the professionalism is accepted. They gathered attentions of participants by suggesting differentiated ideas such as Tooth brushing habit analysis system, Clothes tailoring and recommending system based on deep learning, and A model to detect wearing of safety devices to prevent marine safety accidents.

 Among them, Standard tooth brushing technology won excellence award in Embedded Software Contest and got rave reviews from the judges.The technology is an analysis and improvement system for tooth brushing habit based on deep learning. BAE Seung-ho (3rd grade, YU Department of Information and Communication Engineering) was in charge of implementation of AI of the technology and said, “It is possible to collect tooth brushing habits from vision sensors installed on the mirror in a bathroom and to analyze tooth brushing habit based on the joint and moving direction of a hand using LSTM of deep learning model. Also, insufficient tooth brushing parts may be visualized through a web service for checking by the user on a smartphone or PC. The value in health such as prevention of periodontal diseases may be enhanced if studies are additionally conducted in connection with medical area.”

  Especially, the thesis reported based on the Standard tooth brushing technology by the students of YU Department of Information and Communication Engineering was selected as an excellent thesis in “2021 Korean Embedded Engineering Autumn Conference” and both academic value and industrial value were accepted.

  Professor PARK Yong-wan of YU Department of Information and Communication Engineering commented, “Students have been showing excellent research power from faculty course through academic club activities. They are improving their practical capabilities during obtaining basic knowledge of their major in big data and AI area through their curriculums and during group study of their club. I hope students evaluate their capabilities and improve their capabilities by participating in various contests.