Earticle

Today, there is a developing requirement for observation so as to keep up the dignity at a spot and guarantee the wellbeing and security of its kin. An airborne observation framework will be advantageous in such a manner. This paper depicts how an ethereal reconnaissance framework can be assembled utilizing an unmanned flying vehicle or an automaton. We start by depicting the highlights of our ethereal observation framework and afterward talk about a portion of the advances that we have utilized in building it. From that point onward, we notice how we have consolidated those innovations into an automaton and have made them cooperate amicably so as to accomplish our goal. This goal will be achieved with the help of cloud services and cellular service using 5G technology. It tends to be utilized in peacekeeping exercises and furthermore constant observing of a spot whenever of the day. The point is to give quick and productive reconnaissance at a moderate rate with the goal that it tends to be utilized broadly at the private, institutional and administrative levels.

오늘날 자동차 기술의 핵심은 IT 기반 융합 시스템기술로 변화하고 있다. 다양한 IT 기술을 접목하여 운전 중 다양 한 상황에 대응하고 또한 운전자의 편의성을 지원하는 기술적 추세를 보이고 있다. 본 논문에서는 운전자의 안전성과 편의성을 증대하기 위해 영상 정보를 기반으로 도로 정보를 검출해 운전자에게 알려주고, 버튼을 직접 손으로 눌러야 하는 물리적 인터페이스를 대체할 비접촉식 인터페이스 기술을 융합한 Augmented Driving System (ADS) 기술을 제 안한다. 본 기술은 카메라로부터 입력 받은 영상 정보를 제안된 알고리즘을 통해 앞차와의 거리, 차선, 교통 표지판을 검출하고 차량 내부를 주시하는 카메라와 운전자의 음성을 인식할 마이크를 기반으로 기본 음성인식과 동작인식이 융 합된 인터페이스 기술을 제공한다. 이러한 요소 기술들은 운전자가 인지하지 못하더라도 운전자에게 현재의 주행상황 을 인지하여 자동으로 알려줌으로써 교통사고 확률을 크게 낮출 수 있을 것이며, 또한 다양한 운전 중 기능 조작을 편 리하게 지원함으로써 운전자의 전방 주시에 도움을 줄 수 있다. 본 논문에서 개발된 기술을 통해 테스트를 실시해 본 결과 표지판인식, 차선검출, 앞차와의 거리 검출 등의 인식률이 약 90% 이상이 되었다.

Today, the core technology of an automobile is becoming to IT-based convergence system technology. To cope w ith many kinds of situations and provide the convenience for drivers, various IT technologies are being integrated int o automobile system. In this paper, we propose an convergence system, which is called Augmented Driving System (ADS), to provide high safety and convenience of drivers based on image information processing. From imaging sen sor, the image data is acquisited and processed to give distance from the front car, lane, and traffic sign panel by the proposed methods. Also, a converged interface technology with camera for gesture recognition and microphone fo r speech recognition is provided. Based on this kind of system technology, car accident will be decreased although d rivers could not recognize the dangerous situations, since the system can recognize situation or user context to give attention to the front view. Through the experiments, the proposed methods achieved over 90% of recognition in ter ms of traffic sign detection, lane detection, and distance measure from the front car.

최근 센서 디바이스들의 기술이 발달하고 있다. 그에 따라 기기들의 크기가 소형화 되고 다양한 기능들을 적용 할 수 있다. 그 중에서도 영상처리 기술을 이용하여 사용자의 주거 공간의 상황을 주시하고 데이터베이스에 저장된 위험 상황을 탐지한다. 위험 상황을 탐지 할 경우 다른 통신 디바이스에게 정보를 전달하여 사용자에게 즉시 경보를 울릴 수 있도록 M2M 환경을 구축한다. 본 논문에서는 OpenCV의 색깔추적 알고리즘과 라즈베리파이를 이용해 M2M환경을 구축하고 사용자에게 화재 발생 시 경보를 울리고 후속조치에 대한 정보를 제공하는 솔루션을 소개하고자 한다.

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.

Modular system refers to the method of pre-configuring the building's base frame, plumbing, insulation and finishing materials in the factory and assembling them on site. In the field assembly, mainly bolted joints are used, and in the event of bolting problems, not only fade the advantages of the modular system, but also adversely affect the joint strength between the modular units. Therefore, in this paper, a system that can detect the manufacturing error of bolt arrangement and analyze the measurement error before the bolt fastening of the modular unit was conducted. An algorithm capable of analyzing image to measure bolt arrangement by receiving images in real time through a camera module that can photograph each modular column and a single board computer was developed. Bolt size, bolt distance, edge distance, modular frame size and perpendicularity were measured. The bolt distance was 0.46mm, 0.22%, and the bolt size was 0.15mm, which was almost accurate with 0.7% error.

Image processing technology is improving lately, and its importance has been greatly increased. Therefore, a lot of research and work is utilized with an image processing. For individual use, just need the effective and swift method simply process the image and make out the result immediately; while for research, it usually use more accurate and complex method for particular purpose, can somewhat tolerate the time cost and huge operands. Everyone has advantage and disadvantage; everyone deserves to be delved into. By the way, in any high level algorithm, they still take important parts in actual application. This paper contains some simple daily used and research used complex methods, describe their theories and analysis implement results, for deeper comprehension. This paper, we introduced the representative method of Gaussian smoothing technique, Laplace sharpening technique, Canny edge detection technique. After that, take an actual application of car license location, elaborate the common algorithm responsibility, and meanwhile take some subtle new attempts for algorithm development. In the experiment, the results for each algorithm showed by image and describe the characteristics for each algorithm.

Intel RealSense™ is an exciting new technology that offers innovative multimodal human computer interaction with hand tracking, face tracking, emotion detection, speech synthesis and voice recognition. The technology supports real time background separation by combining the depth and RGB streams of RealSense™ camera. Several past works have provided robust techniques for background separation. Background separated frame is used to augment segmented user photo in an artificial scene. In this work we propose a novel real time technique for augmenting the user in an artificial scene and apply various image filters on the constructed scene. We also propose a “Split Grid” based novel hand gesture driven UI control system that enables the user an intuitive way of working with the system with on-air hand movement and gesture. The system can be used in a wide range of applications like puppetry, photo retouching, and video recording on augmented scene .Usability tests performed by both amateur as well as professional digital photo artists proves ease and efficiency of the tool in generating quick wonderful photo effect in multimodal environment.

Based on the above defects and the superiority of HTMLS, the paper is aimed at realizing the process of graphics and image on Web by combining with graphics and image processing algorithm on computer at present. At the same time, the real-time graphics and image processing cooperatively by multiple personnel is also realized. Finally, a graphics and image processing platform on Web will be established which is easy to maintain, share, expand, being carried out in real time and iteratively. It is named as Web Photoshop. The platform is not only able to carry out graphics and image processing work on a single computer, but also used for graphics and image processing cooperatively by multiple personnel. At the same time, the subject also analyzes and discusses the possibility of graphics and image processing cooperatively by multiple personnel by comparing the effect of common graphics and image processing program on desktop. What is more, the HTMLS is used in trial in the subject to rapidly construct the graphics and image processing application based on mobile devices.

With the rapid development of information technology, the data scale expands unceasingly, produce a large amount of image data, a massive image data processing has also is an important technology. Traditional processing techniques, in dealing with such a large scale of image data, have been unable to meet the requirements. One of the important reason is that whether the c ++ or Java, there is memory leak problem, when the data is the relatively small size, these problems may be insignificant, but when the data is very large, will highlight these shortcomings, will lead to serious program crashes, the system outage, ultimately unable to achieve expected goal. In considering the data processing efficiency, stability, is proposed in this paper, based on multithreading, a dynamic self-healing capacity of mass image data processing technology, compared with the traditional technology can improve the efficiency and improve the stability. Finally, after the experimental results verify that the method is effective.

Satellite and aerial images are very useful means to monitor ecological and environmental situation. Nowadays more and more officials at Ministry of Environment in Korea need to access and use these image data through networks like internet or intranet. However it is very hard to manage and service these image data through internet or intranet, because of its size problem. In this paper very large image data service system for Ministry of Environment is constructed on web environment using image compression and web based image processing technology. Through this system, not only can officials in Ministry of Environment access and use all the image data but also can achieve several image processing effects on web environment. Moreover officials can retrieve attribute information from vector GIS data that are also integrated with the system.

The response behavior of a fish school to an approaching vessel was observed using scanning sonar. The evaluation using six parameters, which signify characteristics of school shape and behavior by sonar image processing, was proposed. Ten fish schools were analyzed and among them, three fish schools were identified for their changing shape, swimming direction, and swimming speed. Moreover, by tracing fish schools on stack of sonar images, these fish schools were seen to exhibit an apparent change of school shape and behavior. Therefore, the evaluation method of fish school behavior using six characteristic parameters indicating fish school shape and behavior by sonar image processing is useful.

The progress in computer technology has significantly improved the capabilities of the microcomputer image processing systems and brought down their hardware costs. This on-going trend of technological development seems to bring further substantive improvements in microcomputer image processing and decreasing hardware costs. The technical development in microcomputer image processing system including VLSI technology, semiconductor memory, disk and tape storage, and image display subsystems have been reviewed and their future trend have been projected. The impact of this technology to the development of image processing has been assessed in the time period of immediate future (2-3 years) and near future (5 years).

This paper proposes a two dimensional behavior analysis method for fish in a water tank based on the ARX method and the Kalman filter algorithm using image processing technology. In modeling the behavior of fish, the input is denoted as the environmental change and uses M-sequence. The output is expressed by the partnership between fish. The behavior model of individual fish is identified by the ARX method. It is then estimated by the Kalman filter algorithm. Finally, the fish behavior is analyzed by FFT. To prove the effectiveness of the pro-posed algorithm, it is applied to two tilapias in a water tank with dimensions of 100cm$\times$100cm$\times$50cm. The effectiveness of the proposed method is demonstrated through ARX identification, estimation of Kalman filter, and FFT analysis.

The investigation of concrete structure typically relies on visual inspection which is one of the basic inspection techniques. Image processing techniques play a crucial role in the growing field of automatic surface inspection technique. However, kinds of inspection equipment, environmental condition and detection algorithm have much influence on the reliability of inspection result. This paper proposes a verification method and testing procedure for the reliability of inspection results and surveys characteristics of image acquisition systems and crack inspection algorithms.

Advances in artificial intelligence (AI) and biomedical imaging have transformed reproductive medicine, offering new avenues for precision, efficiency, and objectivity in assisted reproductive technology (ART). Traditional embryo selection and ovarian stimulation monitoring rely mainly on subjective interpretation, which is often influenced by inter- and intra-observer variability. In contrast, AI-enhanced models have demonstrated consistent performance, reduced human-dependent discrepancies, and improved reproducibility of clinical decisions. Among emerging technologies, fluorescence lifetime imaging microscopy enables real-time, label-free metabolic assessment of gametes and embryos by quantifying the intrinsic fluorescence lifetimes of nicotinamide adenine dinucleotide phosphate and flavine adenine dinucleotide. These metabolic signatures correlate with developmental competence, providing a non-invasive tool to evaluate embryo quality beyond the morphological criteria. Recent innovations have extended AI and imaging technologies to self-operated reproductive health monitoring. Studies support AI-powered self-assessment of ovarian follicles using smartphone-compatible ultrasound devices and automated follicle segmentation. This development has potential for improving ovarian stimulation tracking, patient engagement, and personalizing treatment protocols in clinical and low-resource settings. The integration of AI, advanced image processing, and metabolic imaging is a promising frontier in reproductive medicine. These tools enhance the precision of embryo and follicle evaluation, while establishing foundations multimodal platforms that combine clinical, morphological, and metabolic data to optimize ART outcomes.

Satellite and aerial images are very useful means to monitor ecological and environmental situation. Nowadays more and more officials at Ministry of Environment in Korea need to access and use these image data through networks like internet or intranet. However it is very hard to manage and service these image data through internet or intranet, because of its size problem. In this paper very large image data service system for Ministry of Environment is constructed on web environment using image compression and web based image processing technology. Through this system, not only can officials in Ministry of Environment access and use all the image data but also can achieve several image processing effects on web environment. Moreover officials can retrieve attribute information from vector GIS data that are also integrated with the system.

본 논문에서는 탄소섬유를 이용한 면상발열체의 발열 상태를 영상처리 기술을 이용한 분석을 제안하였다. 면상발열체의 제작 방법은 탄소섬유를 작게 잘라 촙 상태로 만든 다음 분산제를 통하여 다시 결합시켜 준다. 그 다음 부직포 위에 분산제를 통해 결합된 탄소섬유 용액을 필터링 한다. 마지막 단계는 필터링된 탄소섬유를 건조 하면 부직포 형태의 면상 탄소 섬유를 얻을 수 있다. 면상발열체는 이렇게 제작된 면상 탄소 섬유에 전기를 인가하면 된다. 본 논문에서는 면상발열체를 4가지 방법으로 분석하였다. 분석 방법 중 면상 발열체의 발열특성 분석과 면상발열체의 발열속도 분석은 제작된 면상발열체가 정상군에 해당하는지를 확인한다. 절연 코팅 및 면상 발열체 모듈 분석은 실제 제품의 제작에 사용될 수 있는 면상발열체에 대해 영상처리 기술을 이용하여 2차원 이미지 분석이다. 면상발열체의 열화상 이미지 분석은 2차원 및 3차원으로 발열 상태를 분석할 뿐만 아니라, 발열의 상위온도 15~20%와 하위온도 15~20%를 이미지에 표시하는 프로그램 기법이다. 마지막 분석은 제작된 면상발열체의 상태를 화면에 직접 보여줌으로써 제작 과정 중 잘못된 부분을 쉽게 찾을 수 있다. 이와 같은 면상발열체의 이미지 분석 방법은 기존의 방법과 결합하여 발열상태를 더욱 정밀하게 분석할 수 있었다.

In this study, we analyzed the heat generation state of a flat heating element by using image processing technology in conjunction with carbon fiber. The flat heating element is manufactured by chopping the carbon fiber to a small size and bonding it again using a dispersing agent. The solution of carbon fiber, bound together using the dispersant, is then filtered onto the nonwoven fabric. The last step is to obtain flat carbon fibers in the form of nonwoven fabrics for the purpose of drying the filtered carbon fibers. In the flat heating element, electricity may be applied to the carbon fiber on the surface produced in this manner. In this study, the flat heating element was analyzed by four methods. The analysis of the heat generation characteristics and heating rate of the flat heating element confirmed that the fabricated sheet heating element corresponds to a normal army. The analysis of the insulation coating and flat heating element module, which can be used for actual product manufacturing, involves two dimensional image analysis using image processing technology. The thermal image analysis of the flat heating element is a programming technique that not only analyzes the heat generation state in both two and three dimensions, but also displays the upper and lower 15 to 20% ranges of temperature corresponding to the heat generation in the image. In the final analysis, it is possible to easily find the erroneous part in the manufacturing process by directly showing the state of the fabricated flat heating element on the screen. By combining this image analysis method of the flat heating element with the existing method, we were able to more accurately analyze the heat generation state.

Passenger safety is a primary concern of railway system but, it has been urgent issue that dozens of people are killed every year when they fall off from train platforms. Recently, advancements in IT have enabled applying vision sensors to railway environments, such as CCTV and various camera sensors. The objective of this work is to propose technical and system requirements for establishing intelligent monitoring system using camera equipments in urban transit system. We suppose the system is to determine automatically and in real-time whether anyone or anything is in monitoring area. To achieve the goal, we analyze recent image processing technologies for detection and recognition, and suggest possible direction of system development for applying urban transit system. According to the results, we expect the proposed system requirements will playa key role for establishing highly intelligent monitoring system in railway.

깊이감, 시점 등의 3차원 영상정보 제공 방법에는 양안 시차에 의한 스테레오 방식, 다시점 기반의 스테레오 방식, 라이트필드 기반의 스테레오 방식, 체적 내에 실제 발광점들을 물리적으로 형성하는 체적형 방식, 빛의 간섭과 회절현상을 이용하여 실제 물체의 파면을 재현하는 홀로그래피 방식 등이 존재한다. 본고에서는, 3차원 영상기술로써 최근 이슈화되고 있는 플렌옵틱 영상기술의 개념을 다시점 영상생성 및 재초점 기능의 관점에서 소개하고, 동시에 관련 국내외 기술개발 동향을 파악하고자 한다. 또한, 플렌옵틱 영상기술의 고도화를 위한 최신 연구개발 이슈 및 응용 가능한 서비스 시나리오에 대해 탐구해 봄으로써, 향후 플렌옵틱 영상처리 기술의 발전 및 활용도를 전망해 보고자 한다.

세계 자동차 기술의 발전과 시장 규모의 확대로 차량 수요가 증가하고 있으며 이로 인해 차량탑승 인원은 감소하고 도로의 차량 수는 증가하는 추세이다. 이는 교통체증의 원인이 되며 이러한 문제를 해결하기 위해 다인승 전용차로 제도를 시행하고 있으나 불법 이용 차량은 계속 증가하고 있다. 이러한 불법 행위를 단속하기 위한 다양한 기술이 연구되고 있다. 기존에 개발된 시스템은 트리거 장비를 이용하여 차량을 인식하고 적외선 카메라를 통해 차량을 촬영하여 차량 탑승 인원을 감지한다. 본 논문에서는 기존 시스템 적용된 트리거 장비를 이용하지 않고 딥러닝 모델 기술을 적용한 차량탑승 인원탐지 시스템을 제안한다. 제안된 기술은 영상 내에 트리거를 설정하여 차량을 탐지하고 딥러닝 객체 인식모델을 적용하여 실시간 탑승 인원을 감지하는 시스템을 제안한다.

With the development of global automotive technology and the expansion of market size, demand for vehicles is increasing, which is leading to a decrease in the number of passengers on the road and an increase in the number of vehicles on the road. This causes traffic jams, and in order to solve these problems, the number of illegal vehicles continues to increase. Various technologies are being studied to crack down on these illegal activities. Previously developed systems use trigger equipment to recognize vehicles and photograph vehicles using infrared cameras to detect the number of passengers on board. In this paper, we propose a vehicle occupant detection system with deep learning model techniques without exploiting existing system-applied trigger equipment. The proposed technique proposes a system to detect vehicles by establishing triggers within images and to apply deep learning object recognition models to detect real-time boarding personnel.