• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.22-27
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• 2020

Recently, as the number of households raising pets increases due to the increase of single households, there is a need for a system for monitoring the status or behavior of pets. There are regional limitations in the monitoring of pets using domestic CCTVs, which requires a large number of CCTVs or restricts the behavior of pets. In this paper, we propose a mobile system for detecting and tracking cats using deep learning to solve the regional limitations of pet monitoring. We use YOLO (You Look Only Once), an object detection neural network model, to learn the characteristics of pets and apply them to Raspberry Pi to track objects detected in an image. We have designed a mobile monitoring system that connects Raspberry Pi and a laptop via wireless LAN and can check the movement and condition of cats in real time.

• Journal of the Korea Computer Graphics Society
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• v.23 no.5
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• pp.9-17
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• 2017

Filming using multiple cameras is required for the production of the multi-screen content. It can fill the viewer's field of view (FOV) entirely to provide an increased sense of immersion. In such a filming scenario, it is very important to monitor how images captured by multiple cameras are displayed as a single content or how the content will be displayed in an actual theatre. Most recent studies on creating the content of special format have been focused on their own purposes, such as stereoscopic and panoramic images. There is no research on content creation optimized for theatres that use three screens that are spreading recently. In this paper, we propose a novel content production system with a rig that can control three cameras and monitoring software specialized for multi-screen content. The proposed rig can precisely control the angles between the cameras and capture wide angle of view with three cameras. It works with monitoring software via remote communication. The monitoring software automatically aligned the content in real time, and the alignment of the content is updated according to the angle of camera rig. Futher, the producion efficiency is greatly improved by making the alignment information available for post-production.

• Journal of The Geomorphological Association of Korea
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• v.21 no.4
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• pp.41-52
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• 2014

Coastal dune, as one part of beach system, contributes for beach recovery as well as preventing beach erosion by exchanging sands between beach and dune. Due to high tidal range, the boundary of sand dunes on the west coast of Korean Peninsula is outside the high water line during spring tide and erosion also occurs in high waves during spring high tide. This paper investigates the erosion status of the dunes located in the JangHang beach by analyzing images from camera monitoring system, and tide and wave data observed adjacent to the study site during the passage of 4 typhoons in 2012. It also studies the benefits of camera monitoring images in investigating the dune erosion and analyzing coastal topographic changes.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.197-205
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• 2021

Recently, the retail industry has been increasingly demanding information technology convergence and utilization to respond to various external environmental threats such as COVID-19 and to be competitive using AI technologies, but there is a very lack of research and application services. This study is a CCTV video data-driven AI application case study, using CCTV image data collection in retail space, object detection and tracking AI model, time series database to store real-time tracked objects and tracking data, heatmap to analyze congestion and interest in retail space, social access zone.We present the orientation and verify its usability in the direction designed through practical implementation.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.1-6
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• 2021

Currently, virus infection such as Corona 19 has become commonplace, and interest in unmanned systems is increasing in the field for non-face-to-face ICT services. In this paper, the function and performance of remotely successfully controlling a store through video and audio using an IP PBX with a broadcasting function was verified through a test. And the fully unmanned system is not gaining credibility due to various technical problems, however the central control system is a very efficient and reliable system because the controller can directly control the customer while monitoring the access and the inside of the store through the video and audio. In the future, we plan to study a completely unmanned remote control system using A.I technology.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.568-574
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• 2003

오늘날 급속하게 팽창하는 도시외형과 더불어 도심의 집약적이고 다양한 토지이용 패턴 속에서 계획적인 도시개발을 유도하기 위해서는 도시변화 추세 및 그 상세 정보를 주기적으로 모니터링 할 수 있는 종합적인 도시성장관리시스템이 요구된다 이에 앞서 본 연구에서는 토지이용변화를 바탕으로 한 도시성장 모니터링에 있어서 다중시기 원격탐사자료의 활용성과 그 적용범위를 명확하게 규명함과 동시에 향후 도시성장관리시스템 개발에 필요한 기초 자료를 효과적으로 생성하기 위하여 3단계로 구분하여 연구를 수행하였다. 우선 다중시기 원격탐사자료를 이용한 도시의 외형적 성장을 파악하고, 기존의 토지이용도 및 영상자료를 이용하여 시기별 토지이용도를 생성하고 이를 바탕으로 도시성장과정을 체계적으로 분석하였다. 또한 적용 결과를 통하여 기존자료의 최 신성을 확보하는 한편 막대한 예산을 투자하여 구축된 기존 토지이용자료를 원격탐사자료와 더불어 도시변화/성장 연구에 있어 보다 효과적으로 활용할 수 있는 방안을 제시하였다.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.1
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• pp.70.2-70.2
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• 2018

KMTNet에서는 프로젝트의 소개와 운영현황 등 파악하기 위해 웹서비스를 운영하고 있다. 홈페이지(http://kmtnet.kasi.re.kr; 국문, 영문)에는 최신 뉴스와 공지사항, 실시간 모니터링 영상 및 기상정보, 관측일정, 관측자료 공개, 활용성과 등을 게시 하였고, 관측 결과와 운영 정보 관리를 위해서 모니터링 홈페이지(kmtnet-monitor)를 제작하였다. KMTNet은 남반구 3개 관측소에 상주하는 현지 관측자에 의해 관측이 이루어지기 때문에, 국내 연구자가 남반구 관측소 현황을 파악할 수 있는 모니터링 시스템이 필수적이다. 웹서비스에 실시간 기상과 관측자료 전송속도를 함께 표시하여 관측 진행 여부를 확인할 수 있으며, 관측일지를 데이터베이스화하여 망원경/카메라/관측돔의 이상 유무, 관측 현황, 기상/시상 통계 등으로 활용하고 있다. 여기서는 지금까지 개발한 웹 서비스를 소개하고 앞으로 관측소 운영에 유용한 정보와 웹 서비스의 발전 방향에 대해 논의하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.260-263
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• 2021

코로나19로 인해 출입 관련 시스템도 비대면으로 변화하고 있다. 변화에 맞추어 비대면으로 출입자를 관리할 수 있는 프로그램을 개발하여 접촉 위험을 줄이고 출입자 모니터링에 실용성을 제공하고자 한다. 본 연구에서는 Raspberry Pi 카메라에 Alchera Face Authentication API를 적용하여 얼굴인식을 실시하며 정보를 AWS 클라우드에서 저장·관리 하는 시스템을 개발하였다. 챗봇 서비스를 통해 출입자를 확인할 수 있으며 메신저에서 쉽게 클라우드에 접근하여 정보를 확인할 수 있게 하였다. 이를 통해, 특정 장소를 비대면으로 관리하며 간편하게 출입자를 모니터링할 수 있을 것으로 기대한다.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.91-98
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• 2010

This study proposes a monitoring system that effectively watches surroundings by cooperating the various sensor information including image information on a sensor network system. The monitoring system proposed in this paper is developed to watch certain intruders to the internal spaces through the interested region for exceptional time by installing cameras, PIR(Pyroelectric Infrared Ray) sensor and body detectors in such interested regions. Moreover the monitering system is implemented based on the SenWeaver plateform which is a integrated development tools for building wireless sensor network system. In the results of the test that was applied to a practically experimental environment by implementing some interfaces for the proposed system, it was considered that it is possible to watch surroundings effectively using the image information obtained from cameras and multiple sensor information acquisited from sensor nodes.

• Journal of IKEEE
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• v.23 no.1
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• pp.164-172
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• 2019

Current clinical methods for diagnosing urination disorder are invasive, expensive, and very inconvenient to perform continuous monitoring. EIT is a non-invasive technique that injects electrical current through an external electrodes and measures the induced voltage to visualize the internal electrical (impedance) characteristics, which makes it possible to monitor bladder conditions with low cost. The signal characteristics of the measured voltage data changes according to the current pattern injected through the electrode and affects reconstruction performance. In this paper, image reconstruction performance is compared and analyzed according to the injected current patterns to maximize the sensitivity to the variation of bladder size.