• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2006년도 춘계학술대회 논문집
• /
• pp.301-302
• /
• 2006

In this paper, the possibilities of the Infra-red sensor in sensing and control of the bead geometry in the automated welding process are presented. Infra-red sensor is a well-known method to deal with the problems with a high degree of fuzziness so that the sensor is employed to build the relationship between process variables and the quality characteristic the proposed above respectively. Based on several neural networks, the mathematical models are derived from extensive experiments with different welding parameters and complex geometrical features. The developed system enables to select the optimal welding parameters and control the desired weld dimensions during arc welding process.

• 제어로봇시스템학회논문지
• /
• 제19권10호
• /
• pp.896-900
• /
• 2013

In this paper, we develop a dust detection sensor system capable of identifying types of dust for an improvement of a robot vacuum cleaner. The dust detection sensor system is composed of a set of infra-red sensors: a single transmitter and multiple receivers. Given the fixed amount of light transmitted from the transmitter, the amount of light coming in multiple receiver sensors varies, depending on the type and density of dust that is passing between the transmitter and the receivers. Therefore, the type of dust can be identified by means of observing the change of the amount of light from the receiver sensors. For experiments, we use two types of dust, rice and sesame, and validate the effectiveness of the proposed method.

• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 2001년도 하계학술대회 논문집
• /
• pp.215-218
• /
• 2001

A flame detector responds either to radiant energy visible to the human eye or outside the range of human vision. Such a detector is sensitive to glowing embers, coals, or flames which radiate energy of sufficient intensity and spectral quality to actuate the alarm. An infra-red detectors can respond to the total IR component of the flame alone or in combination with flame flicker in the frequency range of 5 to 30 Hz. A major problem in the use of infrared detectors receiving total IR radiation is the possible interference of solar radiation in the infrared region. When detectors are located in places shielded from the sun, such as vaults. filtering or shielding the unit from the sun's rays is unnecessary. In this study, we proposed method for redue a false alarm with using filtering & sensor technology for distinguish of causes of raise a false alarm and pure flame.

• 한국산업융합학회 논문집
• /
• 제26권6_2호
• /
• pp.1073-1082
• /
• 2023

Thermal sensors, also called thermal infrared wavelength sensors, measure temperature based on the intensity of infrared signals that reach the sensor. The infrared signals recognized by the sensor include infrared wavelength(0.7~3.0㎛) and radiant infrared wavelength(3.0~100㎛). Infrared(IR) wavelengths are divided into five bands: near infrared(NIR), shortwave infrared(SWIR), midwave infrared(MWIR), longwave infrared(LWIR), and far infrared(FIR). Most thermal sensors use the LWIR to capture images. Thermal sensors measure the temperature of the target in a non-contact manner, and the data can be affected by the sensor's viewing angle between the target and the sensor, the amount of atmospheric water vapor (humidity), air temperature, and ground conditions. In this study, the characteristics of three thermal imaging sensor models that are widely used for observation using unmanned aerial vehicles were evaluated, and the optimal application field was determined.

• 제어로봇시스템학회논문지
• /
• 제16권10호
• /
• pp.982-990
• /
• 2010

In a target tracking system using image information from a CCD (Charged Couple Device) or an IIR (Imaging Infra-red) sensor, occluded targets can result in track losses. If the target is occlued by background objects such as buildings or trees, probability of track existence will be reduced sharply and track will be terminated due to track maintenance algorithms. This paper proposes data association algorithm based on target existence for the robust tracking performance. we suggest the HPDA (Highest Probability Data Association) algorithm based on target existence and the tracking performance is compared with the established method based on target perceivability. Image tracking simulation that utilizes virtual 3D images and real IR images is employed to evaluate the robustness of the proposed tracking algorithm.

• 한국멀티미디어학회논문지
• /
• 제22권3호
• /
• pp.357-365
• /
• 2019

In this paper, we suggest the tracking method of moving multi-objects in maritime environments. The image acquisition is conducted using IR(InfraRed) camera sensors on an airborne platform. Under the circumstance of maritime, the qualities of IR images can be significantly degraded due to the clutter influence, which directly gives rise to a tracking loss problem. In order to reduce the effects from the clutters, we introduce a technical approach under Man-In-The-Loop(MITL) system for enhancing the tracking performance. To demonstrate the robustness of the proposed approach based on VTG(Valid Tracking Gate), the simulations are conducted utilizing the airborne IR video sequences: Then, the tracking performances are compared with the existing Kalman Filter tracking techniques.

• 한국항공우주학회지
• /
• 제41권3호
• /
• pp.240-245
• /
• 2013

영상센서 중 적외선 센서는 시간경과 및 작동/비작동 반복에 따라 적외선 광원에 대한 응답특성이 조금씩 변화하며, 그 결과 영상품질이 저하된다. 그래서 인공위성에 탑재되는 적외선 센서의 경우 정상적인 임무수행을 위해 교정용 흑체로 주기적인 비균일 응답특성 보정을 실시할 수 있도록 해야 한다. 본 논문에서는 비균일 응답특성 보정을 위해, 적외선 센서의 파장대역 $3.3{\sim}5.2{\mu}m$에서 흑체 방사율이 0.995이상 평균온도차 $1^{\circ}C$ 이하가 되도록 V-그루브(groove) 타입의 흑체를 설계하였다. 성능검증을 위해 흑체의 방사율과 표면온도를 측정하여 검증하였으며, 그 결과로부터 비균일 응답특성 보정오차를 산출하였다.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2005년도 추계학술대회 논문집
• /
• pp.754-758
• /
• 2005

Optimization of process variables such as arc current, welding voltage and welding speed in terms of the weld characteristics desired is the key step in achieving high quality and improving performance characteristics without increasing the cost. Consequently, incorrect settings of those process variables give rise to deviations in the welding characteristics from the desired bead geometry. Therefore, trainee welders are referred to the tabulated information relating different metal types and thickness as to recommend the desired values of process variables. Basically, the bead geometry plays an important role in determining the mechanical properties of the weld. So that it is very important to select the process variables for obtaining optimal bead geometry. However, it is difficult for the traditional identification methods to provide an accurate model because the optimized welding process is non-linear and time-dependent. In this paper, the possibilities of the Infra-red sensor in sensing and control of the bead geometry in the automated welding process are presented. Infra-red sensor is a well-known method to deal with the problems with a high degree of fuzziness so that the sensor is employed to build the relationship between process variables and the quality characteristic the proposed above respectively. Based on several neural networks, the mathematical models are derived from extensive experiments with different welding parameters and complex geometrical features. The developed system enables to select the optimal welding parameters and control the desired weld dimensions during arc welding process.

• 한국정밀공학회지
• /
• 제16권1호통권94호
• /
• pp.132-140
• /
• 1999

This paper suggests a monitoring method for the pulsed laser spot welding of the thin metal sheets using a point IR(InfraRed) sensor. A new criterion was introduced and the experimental results guaranteed the efficiency. The ideal radiation feature was derived from the mathematical model and was simulated. The radiation feature is robust to withstand the change of measuring condition and can be used to detect the absorbed laser energy. In an experiment, the radiation feature was examined for the differect laser energy. The pulse width and the laser power was variated and the radiation feature was examined. In the other experiment, the relationship between the weld strength and radiation feature was examined. Artificial Neural Network(ANN) was employed to find out the relationship. The correlation coefficient between the real strength and the estimated strength is high as 0.94 and the mean square error is low as 0.64 kgf learned parts. Another group of the welds was used to appraise the learning efficiency. The correlation coefficient between the measured and the estimated weld strength is high as 0.91.

• 한국콘텐츠학회논문지
• /
• 제16권3호
• /
• pp.43-51
• /
• 2016

본 논문에서는 실시간 방송 및 스마트 미러 등과 같은 사용자 개인 또는 다른 사용자들과의 상호 작용이 가능한 인터렉티브 텔레프롬프터의 개념을 소개, 논의하고 실제 제작 사례를 제시한다. 이 적용 분야에서는 사용자 자신 또는 사용자와 제3자 사이의 시선의 일치가 심리적인 측면과 비음성적 커뮤니케이션에서 중요한 역할을 차지한다. 그러나 일반적인 모니터와 카메라의 조합만으로는 실제 거울을 보는 것과 같은 시선 일치를 구현하기가 쉽지 않기 때문에, 기존 방송 현장에서 널리 사용하는 텔레프롬프터의 원리를 응용한다. 제안하는 설계에서는 기존 방식과는 달리 깊이 정보를 통한 제스처 인식까지 구현하며 가시광선 정보와 적외선 정보 각각의 효율적인 처리를 위해서 텔레프롬프터에서 핵심적인 역할을 담당하는 빔 스플리터의 설계 사례와 실험 결과를 제시한다.