• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.632-635
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• 2010

인터넷과 정보통신 기술의 발달로 네트워크의 활용 범위도 넓어지게 되었다. 이에 따라 감시용 모니터링 시스템의 응용분야가 다양해졌을 뿐만 아니라 시스템에 대한 요구사항도 많아지고 되었다. 특히 소규모의 매장에서의 응용을 비롯한 무인화 시스템의 확산은 일반인이 쉽게 다룰 수 있는 보급형의 저가 감시시스템의 개발을 요구하고 있다. 본 연구에서는 저렴하고 다양한 부가서비스가 가능하며 인터넷에 쉽게 접속할 수 있는 감시시스템을 구현하였다. 리눅스 기반의 임베디드 리눅스 시스템을 이용한 웹캠 서버를 구축하였다. 구현된 시스템은 웹서버를 통해 실시간 모니터링 기능이 잘 동작하는 것을 확인하였다.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.83-86
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• 2018

Owing to high speed internet technologies, video conferencing systems are exploited in our home as well as work places using a laptop or a webcam. Although eye contact in the video conferencing system is significant, most systems do not support good eye contact due to improper locations of cameras. Several ideas have been proposed to solve the eye contact problem; however, some of them require complicated hardware configurations and expensive customized hardwares. In this paper, we propose a simple eye gaze correction method using the three-dimensional (3D) affine transformation. We also apply an image in-painting method to fill empty holes that are caused by round-off errors from the coordinate transformation. From experiments, we obtained visually improved results.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.147-153
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• 2018

This study is about the interactive self-portrait which provides the experience of self-consciousness reflection of the viewer to modern people who are easily alienated in rapid social change. We proposed interactive self-portrait is implemented by an interactive mirror that reproduces the appearance of the viewer acquired using a webcam. The interactive mirror, which can directly project its own image, is drawn by searching news articles in real time and using the extracted characters as pixel information in real time. The viewer has the opportunity to experience a new style of active self-expression while watching his/herself composed of news characters that are issues of modern society. The virtual self-portrait designed with news characters can attract viewers' attention by visually expressing the interests of modern people and can act as an incentive to generate positive interaction.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.126-132
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• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.49-55
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• 2022

Hair styling has a significant influence on human social perception. An increasing number of people are learning hair styling and obtaining hair designer licenses. However, it takes a considerable amount of money and time to learn professional hairstyle and beauty techniques for hair styling. Since COVID-19, there has been a growing need for offline and video lectures due to the decline in onsite training opportunities. This study provides a field practice environment in which real hair beauty is performed in a virtual space. Further, the hairstyle that is most similar to the user's hair taken with a webcam or mobile phone is determined through an image matching system using the speeded up robust features (SURF) method. The matching hairstyle was created into a three-dimensional (3D) hair model. The created 3D hair model uses a head-mounted display (HMD) and a controller that enables finger tracking through mapping to reproduce the haircutting scissors' motion while providing a feeling of real hair beauty.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.552-555
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• 2020

최근 코로나 관련 온라인 강의가 늘어남에 따라 적은 도구를 이용한 온라인과 오프라인 강의의 장점은 부각, 단점은 보완한 새로운 LMS가 필요함. 웹캠과 마이크를 이용하여 수강자의 수강태도를 파악 후, 수강자의 수업태도를 향상시키는 시스템임.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.806-808
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• 2022

본 논문에서는 자동화 시대에 맞춰 실시간 영상처리 기반의 모니터 품질검수 시스템을 구현하고자 한다. 작동하는 컨베이어벨트 위에 모니터가 놓이면 아두이노(Arduino)와 웹캠(Webcam), 각종 모터, 센서 등 다양한 부품으로 영상처리를 진행하여 불량 화소 기준에 따라 불량 여부를 판별한 후 자동으로 분류된다. 기존에 노동자가 직접 불량 화소를 판별하는 방식에서 모든 과정을 ICT 기술로 통합하여 최소 비용과 시간의 효과를 발현시키는 첨단 지능형 공장으로의 변화를 주고자 한다.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.172-178
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• 2023

With the expansion of metaverse content and hardware platforms, various interactions in the virtual world have been built, raising expectations for an increase in immersion which is a major element of the metaverse. However, among hardware platforms that increase virtual immersion elements, the typical HMD platform can be a barrier to new user inflows due to its high cost. Thus, this paper focused on improving virtual-to-real interactions by extracting motion data using relatively inexpensive webcam equipment in PC environments, utilizing Unity game engines, Photon unity network, multi-platform implementations, and Barracuda neural network inference libraries.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.77-86
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• 2024

Using random numbers to represent uncertainty and unpredictability is essential in many industries. This is crucial in disciplines like computer science, cryptography, and statistics where the use of randomness helps to guarantee the security and dependability of systems and procedures. In computer science, random number generation is used to generate passwords, keys, and other security tokens as well as to add randomness to algorithms and simulations. According to recent research, the hardware random number generators used in billions of Internet of Things devices do not produce enough entropy. This article describes how raw data gathered by IoT system sensors can be used to generate random numbers for cryptography systems and also examines the results of these random numbers. The results obtained have been validated by successfully passing the FIPS 140-1 and NIST 800-22 test suites.

• Asia pacific journal of information systems
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• v.27 no.1
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• pp.38-53
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• 2017

As sensor technologies and image processing technologies make collecting information on users' behavior easy, many researchers have examined automatic emotion recognition based on facial expressions, body expressions, and tone of voice, among others. Specifically, many studies have used normal cameras in the multimodal case using facial and body expressions. Thus, previous studies used a limited number of information because normal cameras generally produce only two-dimensional images. In the present research, we propose an artificial neural network-based model using a high-definition webcam and Kinect to recognize users' emotions from facial and bodily expressions when watching a movie trailer. We validate the proposed model in a naturally occurring field environment rather than in an artificially controlled laboratory environment. The result of this research will be helpful in the wide use of emotion recognition models in advertisements, exhibitions, and interactive shows.