• Title/Summary/Keyword: camera image

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Case Study: Cost-effective Weed Patch Detection by Multi-Spectral Camera Mounted on Unmanned Aerial Vehicle in the Buckwheat Field

  • Kim, Dong-Wook;Kim, Yoonha;Kim, Kyung-Hwan;Kim, Hak-Jin;Chung, Yong Suk
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.64 no.2
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    • pp.159-164
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    • 2019
  • Weed control is a crucial practice not only in organic farming, but also in modern agriculture because it can lead to loss in crop yield. In general, weed is distributed in patches heterogeneously in the field. These patches vary in size, shape, and density. Thus, it would be efficient if chemicals are sprayed on these patches rather than spraying uniformly in the field, which can pollute the environment and be cost prohibitive. In this sense, weed detection could be beneficial for sustainable agriculture. Studies have been conducted to detect weed patches in the field using remote sensing technologies, which can be classified into a method using image segmentation based on morphology and a method with vegetative indices based on the wavelength of light. In this study, the latter methodology has been used to detect the weed patches. As a result, it was found that the vegetative indices were easier to operate as it did not need any sophisticated algorithm for differentiating weeds from crop and soil as compared to the former method. Consequently, we demonstrated that the current method of using vegetative index is accurate enough to detect weed patches, and will be useful for farmers to control weeds with minimal use of chemicals and in a more precise manner.

Optimization of Color Sorting Process of Shredded ELV Bumper using Reaction Surface Method (반응표면법을 이용한 폐자동차 범퍼 파쇄물의 색채선별공정 최적화 연구)

  • Lee, Hoon
    • Resources Recycling
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    • v.28 no.2
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    • pp.23-30
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    • 2019
  • An color sorting technique was introduced to recycle End-of-life automobile shredded bumpers. The color sorting is a innovate method of separating the differences in the color of materials which are difficult to separate in gravity and size classification by using a camera and an image process technique. Experiments were planned and optimal conditions were derived by applying BBD (Box-Behnken Design) in the reaction surface method. The effects of color sensitivity, feed rate and sample size were analyzed, and a second-order reaction model was obtained based on the analysis of regression and statistical methods and $R^2$ and p-value were 99.56% and < 0.001. Optimum recovery was 94.1% under the conditions of color sensitivity, feed rate and particle size of 32%, 200 kg/h, and 33 mm respectively. The recovery of actual experiment was 93.8%. The experimental data agreed well with the predicted value and confirmed that the model was appropriate.

A Fire Prevention System of the Nacelle of Wind Turbine Generator System Based on Broadband Powerline Communication (광대역 전력선통신 기반 풍력발전기 너셀 내부 화재예방시스템)

  • Kim, Hyun-Sik;Ju, Woo-Jin;Kang, Seog Geun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1229-1234
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    • 2018
  • In this paper, a fire prevention system based on a broadband powerline communication (PLC) system is implemented and a demonstration experiment is carried out to prevent from or promptly dealing with possible fires within the nacelle of a wind turbine generator system (WTGS). For this purpose, an inductive coupler having satisfactory attenuation characteristic in the frequency region for high-speed PLC is also manufactured. It is confirmed that the implemented system can monitor the environmental change inside the nacelle in real time by transmitting various information obtained by the sensors such as temperature, flame, and smoke sensor installed in the nacelle and thermal image recorded by a thermal camera to the ground control center through the PLC system. Therefore, it is, considered that the implemented system will significantly improve the reliability of the fire monitoring and prevention system of the WTGS in conjunction with the existing safety system.

License Plate Detection and Recognition Algorithm using Deep Learning (딥러닝을 이용한 번호판 검출과 인식 알고리즘)

  • Kim, Jung-Hwan;Lim, Joonhong
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.642-651
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    • 2019
  • One of the most important research topics on intelligent transportation systems in recent years is detecting and recognizing a license plate. The license plate has a unique identification data on vehicle information. The existing vehicle traffic control system is based on a stop and uses a loop coil as a method of vehicle entrance/exit recognition. The method has the disadvantage of causing traffic jams and rising maintenance costs. We propose to exploit differential image of camera background instead of loop coil as an entrance/exit recognition method of vehicles. After entrance/exit recognition, we detect the candidate images of license plate using the morphological characteristics. The license plate can finally be detected using SVM(Support Vector Machine). Letter and numbers of the detected license plate are recognized using CNN(Convolutional Neural Network). The experimental results show that the proposed algorithm has a higher recognition rate than the existing license plate recognition algorithm.

Study on Identification Procedure for Unidentified Underwater Targets Using Small ROV Based on IDEF Method (소형 ROV를 이용한 IDEF0 기반의 수중 미확인 물체 식별절차에 관한 연구)

  • Baek, Hyuk;Jun, Bong-Huan;Yoon, Suk-Min;Noh, Myounggyu
    • Journal of Ocean Engineering and Technology
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    • v.33 no.3
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    • pp.289-299
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    • 2019
  • Various sizes of ROVs are being utilized in offshore industrial, scientific, and military applications all around the world. Because of innovative developments in science and technology, image acquisition devices such as sonar devices and cameras have been reduced in size and their performance has been improved. Thus, we can expect better accuracy and higher resolution even in the case of exploration using a small ROV. The purpose of this paper is to prepare a standard procedure for the identification of unidentified hazardous materials found during the National Oceanographic Survey. In this paper, we propose an IDEF (Integrated DEFinition) method modeling technique to identify unidentified targets using a small ROV. In accordance with the proposed procedure, an ROV survey was carried out on target No.16 with a four-ton-class fishing boat as a support vessel on September 18th of 2018 in the sea near Daebu Island. Unidentified targets, which were not known by the multi-beam data obtained from the ship, could be identified as concrete pipes by analyzing the HD camera and high-resolution sonar images acquired by the ROV. The whole proposed procedure could be verified, and the survey with the small ROV required about 10 days to identify the target in one place.

Application of UAV for Vegetation Monitoring in Urban Green Space (도시 녹지공간 식생 모니터링을 위한 무인항공기 활용방안)

  • Song, Won-Kyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.22 no.1
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    • pp.61-72
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    • 2019
  • With the diversification of research using UAV(Unmanned Aerial Vehicle)s, the possibility of remote sensing research for urban green spaces is increasing. UAVs can be used as an investigation method to monitor the successful construction of the park and the planting of vegetation since its creation. This study was carried out to investigate UAVs utilization of urban green space monitoring in Dosol Square. It was photographed three times on May 21, July 13, and September 16, 2018 using DJI Phantom3 pro, Inspire2, and Parrot Sequoia multispectral camera. Orthographic images were overlaid on the planting plan of the site and the construction results were checked, the change of vitality of the plantation area was analyzed by NDVI(Normalized Difference Vegetation Index) and SAVI(Soil Adjusted Vegetation Index). As a result, it was confirmed that the UAVs are very effective for surveying the view of the urban green space after the construction and recording the results, which can be grasped quantitatively by overlaying the planting plan map. UAVs are more likely to be used in terms of monitoring vegetation vitality. It is interpreted that SAVI is better than NDVI in the green space just after composition. Chionanthus retusus and Pinus strobus were analyzed for their low level of vitality, and partially damaged and their vitality was lowered. In addition, there was difficulty in grass planting area and flower garden due to drainage and summer drought problems. In the future, it is expected that orthoimage and multispectral data using UAVs will be useful in the early vegetation monitoring and management field of urban green spaces.

The Counterflow Speed and Density of a Fire fighter in Corridor (복도에서 소방관에 의한 카운터플로우 발생 시 밀도와 속도 측정)

  • Kim, Woon-Hyung;Kim, Heung-Youl;Joung, Woo-In;Kim, Jong-Hoon
    • Journal of the Society of Disaster Information
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    • v.15 no.1
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    • pp.76-83
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    • 2019
  • Purpose: The purpose of this study is to present data of density and speed through the experiment of the counterflow by firefighter in corridor. Method: Experimental setup including a corridor in building was prepared for measuring data with 1.5m and 2m width. Normal flow and counterflow were created for each. Data were measured using camera and acquired by video image analysis. Results: The counterflow in corridor resulted in increasing average density of about $0.55P/m^2$ and decreasing average movement speed of about 0.61 m/s. These data measured during the time when the counterflow occurred. Conclusion: It was found that counterflow by firefighter in corridor momentary increasing the density and decreasing walking speed of evacuee. Further experiments of the counterflow effect in the total evacuation time are needed.

A Study on the Establishment of Exercise Training System (운동 트레이닝 시스템 구축 방안에 관한 연구)

  • Oh, Eun-Yeol
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.195-203
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    • 2021
  • This study is about building an exercise training system that analyzes images taken of a person's whole body and displays the normal operating range for user-specific movements as images. This study analyzes the front and side of the user's body based on the standing point, sets the node in the joint position of the human body, and places the node in the spatial coordinate system from the point of entry, and calibrates the normal node operating range according to the set standard node coordinate. Therefore, the method of the study presented a method to select differentiation from this study through prior technical research and literature research, and the purpose of the study is to establish a exercise training system accordingly.

Fabrication of Anti-Moiré Filter Using Multi-Array Needle Coating for LED Screens (다중 배열 니들 코팅을 이용한 LED 스크린용 Anti-Moiré 필터 제작)

  • Jeon, Kyungjun;Lee, Jinyoung;Park, Jongwoon
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.77-82
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    • 2021
  • Using a multi-array needle module developed for coating of high-density cylindrical microlens array (C-MLA), we have fabricated an anti-Moiré filter for LED screens. The Moiré phenomenon appears due to the interference between the array pattern of image sensors in a camera and the non-emission area (grid pattern) of a LED screen. To suppress it, we have employed poly(methyl methacrylate) (PMMA) and coated it on a glass substrate in the form of a grid and non-grid (parallel lines). We have rotated the needle module in order to increase the number of C-MLAs. With this scheme, we have fabricated the 150 mm × 150 mm anti-Moiré filters where 836 microlens lines are formed. They show the average width of 255.4 ㎛, the average distance between CMLs of 94.6 ㎛, and C-MLA width non-uniformity of 4.7%. We have shown that the Moiré patterns still appear in the presence of the parallel (non-grid)-type filter, whereas they disappeared completely by the grid-type filter. It is due to the fact that the Moiré patterns are diffused more effectively by the grid-type C-MLA.

Enzyme-linked Immunosorbent Assay Strip Sensor for Rapid Detection of Staphylococcus aureus (Staphylococcus aureus 신속 검출을 위한 효소면역측정 스트립 센서)

  • Park, So Jung;Kim, Young-Kee
    • Applied Chemistry for Engineering
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    • v.22 no.5
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    • pp.522-525
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    • 2011
  • In this study, an established enzyme-linked immunosorbent assay and immuno-chromatography technique are combined to fabricate an immuno-strip sensor for the detection of S. aureus. The immuno-strip is manufactured by using four different functional membranes. The capture antibody is immobilized on the nitrocellulose membrane due to the high affinity and the capillary action through porous membranes induces a flow of sample. A colorimetric signal is appeared according to the enzyme reaction and is analyzed by the digital camera (qualitative analysis) and home-made image analysis software (quantitative analysis). Under the optimal conditions, samples with S. aureus in the range of $2.7{\times}10^4{\sim}2.7{\times}10^7CFU/mL$ can be detected by the colorimetric method within 30 min.