• 스마트미디어저널
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• 제7권3호
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• pp.29-34
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• 2018

본 논문은 주변 소음이 많은 환경에서 보청기 수신 성능 향상을 위하여 적외선을 이용한 광통신 기술을 접목시키는 연구이다. 마이크로폰과 적외선 발광 다이오드를 포함하는 송신 모듈에서 음성신호를 적외선 광 신호로 변환시켜 공기 중에 내보내고, 일정 거리 떨어진 곳에 위치한 수신 모듈에서 적외선 신호를 수신하여 전기 신호로 변환하여 디지털 보청기의 입력 단에 전달한다. 특별히 수신 모듈은 보청기에 부착되어야 하므로 소형이며 저전압이고 저전력 소모가 바람직하다. 디지털 변조 방식과 아날로그 무변조 방식의 적외선 통신 기술을 적용하여 실험한 결과 실내에서 약 5미터 거리의 적외선 통신은 아날로그 무변조 방식이 적합함을 보였다. 송신 모듈과 수신 모듈 시제품을 제작하여 디지털 보청기에 연결하고 내부 파라미터를 조정하여 음성 신호를 정상 송수신함을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1464-1480
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• 2019

Robust tracking of infrared (IR) pedestrian targets with various backgrounds, e.g. appearance changes, illumination variations, and background disturbances, is a great challenge in the infrared image processing field. In the paper, we address a new tracking method for IR pedestrian targets via multi-feature local sparse representation (SR), which consists of three important modules. In the first module, a multi-feature local SR model is constructed. Considering the characterization of infrared pedestrian targets, the gray and edge features are first extracted from all target templates, and then fused into the model learning process. In the second module, an effective tracker is proposed via the learned model. To improve the computational efficiency, a sliding window mechanism with multiple scales is first used to scan the current frame to sample the target candidates. Then, the candidates are recognized via sparse reconstruction residual analysis. In the third module, an adaptive dictionary update approach is designed to further improve the tracking performance. The results demonstrate that our method outperforms several classical methods for infrared pedestrian tracking.

• 제어로봇시스템학회논문지
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• 제17권12호
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• pp.1203-1209
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• 2011

In this paper, the degradation evaluation method of VLC (Visible Light Communication) wireless module after high dose rate gamma-ray irradiation using the thermal infrared camera is proposed. First, the heating characteristics of the active devices embedded in the VLC wireless module during the condition of normal operation is monitored by thermal infrared camera. By the image processing technique, the trends of the intensity of the heat emitted by the active devices are calculated and stored. The feature of the blob area including the area of the active devices in the thermal infrared image is extracted and stored. The feature used in this paper is the mean value of the gray levels in the blob area. The same VLC module has been gamma irradiated at the dose rate of about 4.0 kGy/h during 72 hours up to a total dose of 288 kGy. And then, the heating characteristics of the active devices embedded in the VLC wireless module after high dose gamma ray irradiation is observed by thermal infrared camera. The high dose gamma-ray induced degradation of the active devices embedded in the VLC module was evaluated by comparing the mean value of the blob area to the one of the same blob area of the VLC module before the gamma ray irradiation.

• 전자공학회논문지SC
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• 제43권2호
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• pp.33-39
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• 2006

본 논문에서는 휴대용 적외선 야시경의 소형 경량화 및 저전력을 위한 전자회로부를 설계하였다. 설계한 전자회로부는 전압자동변환부와 전원공급부로 구성한다. 전압자동변환부는 배터리, 스위치부, 승압부, 전압선택부 등으로 구성한다. 전원공급부는 고광원 감지회로, 배터리 전압감지회로, 적외선 발광회로, 연결감지회로, 공급제어회로 등으로 구성한다. 설계한 전자회로부의 성능은 AN/PVS-14에 비하여 소모전력 및 상온 연속사용 시간에서 우수하였다.

• 센서학회지
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• 제31권2호
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• pp.131-137
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• 2022

Crimes related to illegal cameras are steadily increasing and causing social problems. Owing to the development of camera technology, the miniaturization and high performance of illegal cameras have caused anxiety among many people. This study is for detecting hidden cameras effectively such that they could not be easily detected by human eyes. An image sensor-based module with 940 nm wavelength infrared detection technology was developed, and an image processing algorithm was developed to selectively detect illegal cameras. Based on the Android smartphone environment, image processing technology was applied to an image acquired from an infrared camera, and a detection sensor module that is less sensitive to ambient brightness noise was studied. Experiments and optimization studies were conducted according to the Gaussian blur size, adaptive threshold size, and detection distance. The performance of the infrared image-based illegal camera detection sensor module was excellent. This is expected to contribute to the prevention of crimes related to illegal cameras.

• 산업기술연구
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• 제34권
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• pp.27-32
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• 2014

Infrared remote controllers are widely used in controlling electronic devices due to its simplicity and convenience. This paper presents a smart phone application unifying any infrared remote controllers. We can select a device from device list menu of the application. Any new device can be added easily by downloading the protocol file of the device from protocol file server. Remote controller protocol files are stored in audio file format, and the file related to a specific menu button is transmitted through the audio jack of smart phones. The protocol file server is a standard file server, and protocol files for various devices are collected by infrared receiver module. For smart phones without infrared facility, a small infrared module translating audio signal to infrared signal is applied.

• Journal of Information Processing Systems
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• 제15권2호
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• pp.449-456
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• 2019

SMART home is one of the most popular applications of Internet-of-Things (IoT) technologies, which is expanding in terms of range of applications. SMART home technology provides convenience at home by connecting household appliances to a single network, control, and management. However, many general home appliances do not support the network functions yet; hence, enjoying such convenient technology could be difficult, and it could be expensive in the beginning to build the framework. In addition, even though products with SMART home technologies are purchased, the control systems could differ from device to device. Thus, in this paper, we propose a SMART home framework, called an S-mote that can operate all the IoT functions in a single application by adding an infrared or radio frequency module to general home appliances. The proposed framework is analyzed using four types of performance tests by five evaluators. The results of the experiment show that the SMART home environment was implemented successfully and that it functions appropriately, without any operational issues, with various home appliances, including the latest IoT devices, and even those equipped with an infrared or radio frequency module.

• 한국지리정보학회지
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• 제19권4호
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• pp.106-117
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• 2016

최근 환경보호와 신재생에너지 확보 일환으로 태양광발전소가 널리 보급되고 있으며, 태양광 모듈의 효율적인 관리를 위해서는 정기적인 점검이 필요하다. 본 연구에서는 UAV 기반 열적외선 카메라와 GIS 공간분석을 통해 태양광 모듈에 대한 고장여부를 진단할 수 있는 실험을 실시하였다. 먼저 고정익 UAV와 RGB 카메라를 이용하여 영상을 촬영한 후 Pix4D SW를 통해 정사영상을 생성하였으며, 정사영상 자료를 이용하여 태양광 모듈 레이어를 구축한 후 코드를 입력하였다. 또한 태양광 모듈 고장여부를 진단하기 위해 고무덮개를 태양광 모듈에 설치하였으며, 열적외선 카메라로부터 얻어진 온도 정보와 태양광 모듈 레이어를 기반으로 Zonalmean 함수를 통해 태양광 모듈별 평균온도를 계산할 수 있었다. 마지막으로 GIS 공간분석을 통해 이상 발열이 확인된 $37^{\circ}C$ 이상의 모듈을 자동으로 추출하고 각 모듈별 고유식별 코드를 식별함으로써 고무 덮개를 설치한 모듈의 위치를 정확하게 분석할 수 있었다.

• 한국가스학회지
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• 제15권4호
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• pp.51-55
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• 2011

본 논문에서는 써모파일을 사용한 비분산 적외선 메탄가스센서의 온도보상 알고리즘을 제시하였다. 가스측정을 위해 적외선 감지부에 내장된 써미스터의 출력전압과 분위기 온도와의 상관성을 도출하고, 협 대역통과 필터 특성과 온도 변화에 따른 센서모듈(광 공동과 적외선램프)의 출력전압 특성 및 메탄가스의 흡수계수와 광 경로에 따른 출력특성 해석을 통하여 가스센서 모듈의 온도보상 알고리즘을 도출하였다.온도보상 전 약 $\pm$ 1,500 ppm 이상의 오차를 갖는 센서는 온도보상 알고리즘을 적용함으로써 $20^{\circ}C$온도변화 구간에서 최대 약 180 ppm 이하의 정밀한 센서모듈을 제작하였다.

• 대한임베디드공학회논문지
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• 제12권2호
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• pp.97-103
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• 2017

Thermal imaging is mainly used in military equipment required for night observation. In particular, technologies of uncooled thermal imaging detectors are being developed as applied to low-cost night observation system. Many system integrators require different specifications of the uncooled thermal imaging camera but their development time is short. In this approach, EOSYSTEM has developed a small size, TEC-less uncooled thermal imaging camera module with $32{\times}32mm$ size and low power consumption. Both domestic detector and import detector are applied to the EOSYSTEM's thermal imaging camera module. The camera module contains efficient infrared image processing algorithms including : Temperature compensation non-uniformity correction, Bad/Dead pixel replacement, Column noise removal, Contrast/Edge enhancement algorithms providing stable and low residual non-uniformity infrared image.