• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.319-320
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• 2019

본 논문에서는 opencv를 이용한 이메일 송신기능을 가진 감시 카메라을 제안한다. 라즈베리파이와 라즈베리파이 전용 카메라를 이용하여 구현하였다. opencv를 이용해 얼굴 검출이 가능하게 하였다. 그리고 motion 라이브러리를 사용하여 인터넷으로 스트리밍이 가능하도록 하였다. SMTP 라이브러리를 이용하여 이메일을 보낼 수 있다.

• Journal of the Korean Electrochemical Society
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• v.6 no.2
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• pp.113-118
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• 2003

Processible polyaniline (PAM) dispersions consisting of polyaniline micro-particles, cyclohexanone, and a polymeric surfactant were prepared in a micro-milling machine with various mixing conditions. The electrochemical properties of the dispersion film coated on Pt electrode were investigated by cyclic voltammetry (CV). The electrochemistry of the PAM dispersion coatings was basically similar to a pure PAM coating based on the results of CV. The results of polarization measurements and open circuit potential measurements carried out in $3\;wt.\%$ NaCI solution showed increase in corrosion potential when the PANI dispersion coatings applied on steel surface. Variation of open circuit potential $(OCP,\;V_{OC})$ of the dispersion coating/steel electrodes was observed, which differed with milling conditions. The results demonstrated practical use of the conducting polymer dispersion as a coating material for corrosion prevention of steel.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.11
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• pp.911-920
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• 2018

In this study, we performed a study to track the angle between the guided weapon and the target by using the strap-down image seeker, and constructed a test bed that can simulate it visually. This paper describes a method to maintain high-performance feature distribution in the implementation of sparse feature tracking algorithm such as Lucas Kanade's optical flow algorithm for target tracking using image information. We have extended the feature tracking problem to the concept of feature management. To realize this, we constructed visual environment using Unity3D engine and developed image processing simulation using OpenCV. For the co-simulation, dynamic system modeling was performed with Matlab Simulink, the visual environment using Unity3D was constructed, and computer vision work using OpenCV was performed.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.679-686
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• 2022

In this paper, we implemented an algae removal device that recognizes and removes algae existing in water using Raspberry Pi camera and DO (Dissolved Oxygen) sensor. The Raspberry Pi board recognizes the color of green algae by converting the RGB values obtained from the camera into HSV. Through this, the location of the algae is identified and when the amount of dissolved oxygen's decrease at the location is more than the reference value using the DO sensor, the algae removal device is driven to spray the algae removal solution. Raspberry Pi's camera uses OpenCV, and the motor movement is controlled according to the output value of the DO sensor and the result of the camera's green algae recognition. Algae recognition and spraying of algae removal solution were implemented through Arduino and Raspberry Pi, and the feasibility of the proposed portable algae removal device was verified through experiments.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1101-1104
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• 2021

최근 COVID-19(코로나 바이러스 감염증) 확산에 따라 다양한 분야에서 힘든 상황이 이어지고 있다. 중앙 재난 안전 대책본부에 따르면 지난 2월 한 달간 코로나 안전신고는 약 2만 5천 건의 방역수칙 위반 신고가 들어온 것으로 집계됐다. 이에 따라 음식점 및 매장은 QR코드. 수기 작성을 통한 동선 체크, 온도 검사 등 코로나 확산을 방지하기 위한 방법을 시행하고 있지만 이는 단지 코로나 확산 방지를 위한 대책 일뿐 소상공인의 매장 운영이나 안정적인 영업 유지 등 직접적인 영향을 줄 수 없다. 이에 본 논문은 OpenCV를 활용한 고객 출입 관리 시스템을 제안한다. 본 시스템은 OpenCV 영상처리기술을 활용하여 매장을 방문하는 고객의 나이, 성별을 수집하여 주요 고객층 분석, 출입 현황 및 이용 시간을 파악한다. 본 시스템은 코로나 확진자 동선 파악을 위한 역학조사와 소상공인의 효율적인 매장 운영 시간을 분석하여 '코로나 확산 방지', '소상공인 매출 증가'의 기대 효과를 얻을 수 있다. 향후, 제안하는 기법의 실질적인 검증을 위해 실제 매장 환경에서의 테스트가 필요하다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.1083-1088
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• 2014

Recently, due to advances in both imaging technology and ICT, various types of image processing services became available and the application services of these two technologies are diversifying. Recognition of vehicle license plates is used in places where vehicle information is needed such as in parking management. However, existing systems have economic disadvantages like issuing parking tickets and attaching unnecessary equipment. In order to solve these problems, we designed and implemented automatic parking management system through recognition of vehicle license plates by using emguCV that is based on OpenCV. Additionally, we designed improved UI to handle the entire parking management situation which include information such as details of each parking vehicle, parking time and remaining parking spaces without screen movement. This improved UI is implemented with the use of WPF which is the latest technology in user program development. The emguCV used in this paper showed the most optimized performance in Intel based environment. With it, we obtained the result of within 0.5 seconds of recognition processing time and over 90% of recognition rate. Through improved UI, the manager could both simply and intuitively manage the entire system.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.37-42
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• 2016

Recent advances have been made in technology of sensor devices. Accordingly, the size of devices has been miniaturized, to which diverse functions can be applied. On top of that, the devices use image processing technology to observe circumstances of users' living spaces and detect risk situations saved in database. In case of detecting risk situations, M2M environment is constructed so that the information can be delivered to other communication devices to immediately raise an alarm. This paper aims to introduce solutions that construct M2M environment by using color detection algorithm of OpenCV and Raspberry Pi, raise an alarm to users in case of fire, and provide information on follow-up measures for it.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.12
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• pp.1833-1840
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• 2013

A golf ball collecting robot in a golf ball driving range has been recently required because it is safer and more economic than a human being. In this paper, the golf ball recognition and distance estimation system based on a neural network and OpenCV is developed for the robot. The simulation results show that the recognition ratio is over 87% for the distance of less than 120cm and accurate rate for distance estimation is over 85% for golf balls in 30-180cm from a webcam.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.4
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• pp.80-86
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• 2017

The purpose of this study is to construct a pattern database of pipes and cavities buried in the ground to prevent ground subsidence. To do this, it developed a pattern template algorithm using Open CV and applied it to the results of GPR detection results of tank. As a result, proper pattern database construction was possible. Since the results of this study are based only on limited experimental results, it is expected that more realistic data will be constructed if various field data and detection results of large test beds are supplemented in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.377-378
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• 2018

This paper introduce the improvement of the pupil motion recognition algorithm in the previously reported "Eye-Motion Communication System using FPGA and OpenCV". It is a system for generalized paralysis and Lou Gehrig patients who can not move their body naturally, recognizing the pupil's motion and selecting the text in the FPGA in real time. In this paper, we improve the speed of motion recognition by minimizing the operation of eye detection function based on the user being general paralysis patient.