• Title/Summary/Keyword: Infrared Module

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An Infrared Communication Module for the Enhancement of Hearing Aids (보청기 성능 향상을 위한 적외선 통신 모듈)

  • Park, Seong Mo
    • Smart Media Journal
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    • v.7 no.3
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    • pp.29-34
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    • 2018
  • This paper presents a study on adapting optical communication technology using infrared ray for the enhancement of hearing aids in noisy environment. The transmitter module containing microphone and infrared ray-emitting diode converts audio signal to infrared optical signal and sends it out in the air. The receiver module located in a distance receives the infrared signal, converts it to electrical signal, and transfers it to an input of a digital hearing aid. Especially, the receiver module needs to be small, low voltage, and consume low power since it will be attached to hearing aids. Experiments with applying infrared communication technology of digital modulation method and analog non-modulation method show that the analog non-modulation method is adequate for infrared communication of approximately 5m distance indoor. Prototypes of transmitter module and receiver module were manufactured, and internal parameters of the digital hearing aid were adjusted to confirm normal transmit-receive operation of audio signals.

Multi-feature local sparse representation for infrared pedestrian tracking

  • Wang, Xin;Xu, Lingling;Ning, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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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.

Analysis of Visible Light Communication Module Degraded by High Dose-Rate Gamma Irradiation using Thermal Infrared Image (적외선 열영상을 이용한 가시광 통신모듈의 고선량 감마선조사에 따른 열화 분석)

  • Cho, Jai-Wan;Hong, Seok-Boong;Koo, In-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.12
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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.

Electronic Circuit Design for Portable Infrared Night Vision Scope (휴대용 적외선 야시경을 위한 전자회로설계)

  • Eom Ki-Hwan;Kim Doo-Hwan
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.2 s.308
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    • pp.33-39
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    • 2006
  • This paper designed the electronic circuit part of Potable Infrared Night Vision Scope for a small size, light weight, and low power. Designed electronic circuit part is composed of an Auto Voltage Selecting Module, and a Power Supply Module. An Auto Voltage Selecting Modulo is composed of a switch, a battery, a step up voltage part, and a selecting voltage part. A Power Supply Module is composed of a high luminous sensing part, a battery voltage sensing part, a infrared illumination part, a connection sensing part, and a power control part. And this module controls the power of Image Intensifier Tube. To verify the performance of the designed electronic circuit part, we experimented the consumption power and continuous using time. Experimental results show that the designed electronic circuit part improves considerably on the performance of the AN/PVS-14. performance.

Development of an Infrared Imaging-Based Illegal Camera Detection Sensor Module in Android Environments (안드로이드 환경에서의 적외선 영상 기반 불법 촬영 카메라 탐지 센서 모듈 개발)

  • Kim, Moonnyeon;Lee, Hyungman;Hong, Sungmin;Kim, Sungyoung
    • Journal of Sensor Science and Technology
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    • v.31 no.2
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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.

Smart Phone Based Infrared Remote Controller without Restriction of Target Devices (대상 기기에 제한이 없는 스마트폰 기반의 적외선 리모컨)

  • Hwang, Seong-Jin;Lee, Mi-Hyun;Hong, Jeong-Pyo;Park, Tae-Geun;Kim, Yong-Seok
    • Journal of Industrial Technology
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    • v.34
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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.

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S-mote: SMART Home Framework for Common Household Appliances in IoT Network

  • Park, Dong-Min;Kim, Seong-Kyu;Seo, Yeong-Seok
    • Journal of Information Processing Systems
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    • v.15 no.2
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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.

Test of Fault Detection to Solar-Light Module Using UAV Based Thermal Infrared Camera (UAV 기반 열적외선 카메라를 이용한 태양광 모듈 고장진단 실험)

  • LEE, Geun-Sang;LEE, Jong-Jo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.106-117
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    • 2016
  • Recently, solar power plants have spread widely as part of the transition to greater environmental protection and renewable energy. Therefore, regular solar plant inspection is necessary to efficiently manage solar-light modules. This study implemented a test that can detect solar-light module faults using an UAV based thermal infrared camera and GIS spatial analysis. First, images were taken using fixed UAV and an RGB camera, then orthomosaic images were created using Pix4D SW. We constructed solar-light module layers from the orthomosaic images and inputted the module layer code. Rubber covers were installed in the solar-light module to detect solar-light module faults. The mean temperature of each solar-light module can be calculated using the Zonalmean function based on temperature information from the UAV thermal camera and solar-light module layer. Finally, locations of solar-light modules of more than $37^{\circ}C$ and those with rubber covers can be extracted automatically using GIS spatial analysis and analyzed specifically using the solar-light module's identifying code.

Temperature Compensation Algorithm of Nondispersive Infrared (NDIR) Gas Sensor (비분산 적외선 가스센서의 온도보상 알고리즘)

  • Park, Jong-Seon;Yi, Seung-Hwan
    • Journal of the Korean Institute of Gas
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    • v.15 no.4
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    • pp.51-55
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    • 2011
  • This paper describes the temperature compensation algorithm using thermopile detector for nondispersive infrared methane gas sensor. From the output voltage of thermistor that is attached onto the infrared detector, the ambient temperature was extracted. The effects of temperatures on the properties of sensor module (the characteristics of narrow bandpass filter, optical cavity and infrared lamp, and gas absorption coefficient times optical path length) have been introduced in order to implement the temperature compensation algorithm. Even though the measurement error of developed sensor module was in the range of $\pm$ 1,500 ppm, after programming the temperature compensation algorithm, the developed sensor module shows a high accuracy less than +180 ppm error within $20^{\circ}C$ temperature variation.

Small Camera Module for TEC-less Uncooled Thermal Image (TEC-less 비냉각 열영상 검출기용 소형카메라 모듈 개발)

  • Kim, Jong-Ho
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.2
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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.