Webcam Camera Research Articles

Textile Retrieval Based on Image Content from CDC and Webcam Cameras in Indoor Environments.

Textile based image retrieval for indoor environments can be used to retrieve images that contain the same textile, which may indicate that scenes are related. This makes up a useful approach for law enforcement agencies who want to find evidence based on matching between textiles. In this paper, we propose a novel pipeline that allows searching and retrieving textiles that appear in pictures of real scenes. Our approach is based on first obtaining regions containing textiles by using MSER on high pass filtered images of the RGB, HSV and Hue channels of the original photo. To describe the textile regions, we demonstrated that the combination of HOG and HCLOSIB is the best option for our proposal when using the correlation distance to match the query textile patch with the candidate regions. Furthermore, we introduce a new dataset, TextilTube, which comprises a total of 1913 textile regions labelled within 67 classes. We yielded 84.94% of success in the 40 nearest coincidences and 37.44% of precision taking into account just the first coincidence, which outperforms the current deep learning methods evaluated. Experimental results show that this pipeline can be used to set up an effective textile based image retrieval system in indoor environments.

Application of a webcam camera as a cost-effective sensor with image processing for dual electrochemical – colorimetric detection system

A webcam camera as an alternative cost-effective colorimetric sensor for the simple dual electrochemical – colorimetric detection system is proposed. Performance test of the system was investigated through electrochemical and colorimetric behaviors of redox reactions of potassium ferrocyanide complex. Image processing with two color systems, RGB and HSV, was applied together with various electrochemical techniques. Color responses obtained from the webcam correlated with electrochemical signals in various electrochemical techniques. The results from the proposed dual detection system agreed well with those obtained using conventional UV–vis spectroelectrochemical system reported previously. The application of proposed system was demonstrated for studying the redox reaction of catechin and electrochemical - colorimetric behaviors of Fe(II) and Fe(III) mixture.

Noodle based analytical devices for cost effective green chemical analysis

Noodle based analytical devices are proposed for cost effective green chemical analysis. Two noodle based analytical platforms have been examined. Conditions for flow with laminar behaviors could be established. Detection may be via a webcam camera or a flatbed scanner. Acid-base reactions were chosen as a model study. The assays of acetic acid and sodium hydroxide were investigated. Apart from bromothymol blue, simple aqueous extract of butterfly pea flower was used as a natural reagent. Another model was the assay of copper (Cu2+) which was based on the redox reaction of copper (Cu2+) with iodide to produce tri-iodide forming brown/black product with starch which already exists in the noodle platform. Demonstration to apply the noodle platforms for real samples was made.

Deteksi Perubahan Citra Pada Video Menggunakan Illumination Invariant Change Detection

There is still a lot of juvenile delinquency in the middle of the community, especially people in urban areas, in the modern era. Juvenile delinquency may be fights, wild racing, gambling, and graffiti on the walls without permission. Vandalized wall is usually done on walls of office buildings and on public or private property. Results from vandalized walls can be seen from the image of the change between the initial image with the image after a motion. This study develops a image change detection system in video to detect the action of graffiti on the wall via a Closed-Circuit Television camera (CCTV) which is done by simulation using the webcam camera. Motion detection process with Accumulative Differences Images (ADI) method and image change detection process with Illumination Invariant Change Detection method coupled with image cropping method which carried out a comparison between the a reference image or image before any movement with the image after there is movement. Detection system testing one by different times variations, ie in the morning, noon, afternoon, and evening. The proposed method for image change detection in video give results with an accuracy rate of 92.86%.

The analysis of lane detection algorithms using histogram shapes and Hough transform

Purpose – The purpose of this paper is to develop a lane detection analysis algorithm by Hough transform and histogram shapes, which can effectively detect the lane markers in various lane road conditions, in driving system for drivers. Design/methodology/approach – Step 1: receiving image: the developed system is able to acquire images from video files. Step 2: splitting image: the system analyzes the splitting process of video file. Step 3: cropping image: specifying the area of interest using crop tool. Step 4: image enhancement: the system conducts the frame to convert RGB color image into grayscale image. Step 5: converting grayscale image to binary image. Step 6: segmenting and removing objects: using the opening morphological operations. Step 7: defining the analyzed area within the image using the Hough transform. Step 8: computing Houghline transform: the system operates the defined segment to analyze the Houghline transform. Findings – This paper presents the useful solution for lane detection by analyzing histogram shapes and Hough transform algorithms through digital image processing. The method has tested on video sequences filmed by using a webcam camera to record the road as a video file in a form of avi. The experimental results show the combination of two algorithms to compare the similarities and differences between histogram and Hough transform algorithm for better lane detection results. The performance of the Hough transform is better than the histogram shapes. Originality/value – This paper proposed two algorithms by comparing the similarities and differences between histogram shapes and Hough transform algorithm. The concept of this paper is to analyze between algorithms, provide a process of lane detection and search for the algorithm that has the better lane detection results.

Purwarupa Pengoperasian TV Dengan Mendeteksi Isyarat Jari Berbasis Pengolahan Citra Digital

Abstrak Perkembangan teknologi komputer dan elektronika yang sangat pesat saat ini membuat manusia mulai mencari solusi lain untuk melakukan kegiatan menjadi lebih mudah dan praktis. Teknologi-teknologi yang berkembang dan dapat dimanfaatkan saat ini sangat memungkinkan manusia untuk memudahkan aktifitas dalam mengoperasikan TV dengan isyarat jari. Dalam penelitian ini, pengolahan citra digital merupakan teknologi yang digunakan untuk mengoperasikan TV dengan memanfaatkan webcam dan komputer sebagai pengolah citra. Input dari penelitian ini berupa citra tangan hasil tangkapan webcam pada komputer. Kemudian citra tangan diolah melalui sistem pengolah citra untuk mendapatkan hasil berupa nilai pada jari tangan. Nilai tersebut menunjukkan angka yang sama dengan jumlah jari tangan yang terdeteksi oleh webcam pada layar monitor. Mikrokontroler berfungsi menerima data serial dari hasil pemrosesan citra tangan dan berfungsi sebagai konversi nilai data serial menjadi instruksi yang dapat mengoperasikan TV. Model warna yang dipakai adalah model HSV. Langkah awal pengujian pada penelitian ini dilakukan dengan setting ruangan agar pengambilan citra mendapatkan hasil yang terbaik pada setiap ruangan. Hasil dari pengujian ini didapatkan nilai yang terbaik untuk pengoperasian TV dengan isyarat jari yaitu : untuk nilai intensitas cahaya sebesar 12 lux, nilai jarak terbaik sebesar 70 cm dan background terbaik berupa warna biru. Kata kunci— TV, pengolahan citra, model warna HSV Abstract The development computer technology and electronics very rapidly at this time makes people start looking for other solutions to perform activities easier and more practical. Technologies are developed and can be used at this time it is possible to facilitate the activities human beings to operate TV with finger gesture. In this research, digital image processing of technology can be used to operate TV using webcam and computer as image processing. Input this research is hand image that catched by webcam on computer. Then hand image processed through image processing system to obtain results form value fingers. This value indicates the number equal to number fingers detected by webcam camera on monitor screen. Microcontroller function is receives serial data from results image processing and serves serial data conversion value into instructions can operate TV. Color model used in research is HSV. First step testing this research is setting room in order to capture image for get best results in any room. Results of the research found best value for testing operation TV with finger gesture is : for value light intensity is 12 lux, best distance is 70 cm and best baskground is blue. Keywords— TV, image processing, HSV color model

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

Novel method for the determination of tetracycline antibiotics in bovine milk based on digital-image-based colorimetry

Solid-phase extraction was used to increase the intrinsic colour of tetracycline (TC), so that colorimetry could be employed as an analytical method for the detection of TC in milk. Digital-image-based colorimetry, a measurement based on capturing colour of solutions by a webcam camera, was coupled with an artificial neural network learning model for quantitative chemical analysis. The red, green, and blue values were used for data processing and were calibrated using values of standard solutions (from a database). The results were obtained directly as TC concentration. The colour intensity of the extracts was tested for accuracy using samples spiked with three TC concentrations. The average percentage recoveries were favourable in all samples and the relative accuracy of the method was between 91.9% and 105.0%. The method was validated by comparing the results with measurements performed using ultra-violet/visible spectrophotometry. There were no significant difference observed between the two methods.

Micro coulometric titration in a liquid drop

Miniaturized coulometric titration in a liquid drop has been investigated. Assays of ascorbic acid and thiosulfate with iodine titration were chosen as models. Constant volumes of falling liquid drops containing sample or reagent are manipulated via gravimetrical force to move along a slope hydrophobic path and directed to stop or to move out from an electrode. Such manipulation is useful for delivery of sample and reagents, in a way of flow without tubing. Electrochemical generation of titrant, in this case, iodine, is started at the electrode and micro coulometric titration can be performed in a drop by applying constant current. Timing in the titration can be made via naked eye with a stopwatch or via recording with a webcam camera connecting to a computer to detect the change due to the blue color complex of the excess iodine and starch.

운전자 졸음 인식 시스템 구현

본 논문에서는 운전자 졸음 인식 시스템의 구현 방법과 그에 따른 결과를 소개한다. 영상 입력 장치로는 시중에 판매되는 웹캠 카메라를 사용하였다. 얼굴 검출 방법으로는 Haar 변환 기법을 이용하였으며, 다양한 조명 환경에 강건하게 적응하도록 조명정규화를 수행하였다. 조명정규화를 거친 얼굴 영상은 특징값 추출에 용이하다. 조명정규화를 통한 눈 후보영역은 인체측정학 정보를 이용하여 후보 영역을 줄인 이후에 PCA와 Circle Mask의 혼합 모델을 적용했다. 위 방법을 통해 차량 내부의 복잡한 조명 환경 속에서 강건히 눈 영역을 추출한다. 검출된 눈 영역은 고해상도의 조명 정규화 영상과 간단한 연산을 통하여 졸음 여부를 판별한다. 졸음 상태가 1단계로 판단 될 경우에는 통합 모니터링 인터페이스에서 운전자에게 경고음을 울리며 2단계일 경우에는 CAN(Controller Area Network)를 통하여 안전벨트를 진동하게 함으로써 운전자에게 경고를 준다. 본 논문에서 제안하는 졸음 인식 시스템은 낮은 계산 복잡도를 만족하는 동시에 높은 인식률을 보여준다. 실험 결과 차량 내에서 97%의 인식률이 나타났다. In this paper, we introduce the implementation of driver fatigue monitering system and its result. Input video device is selected commercially available web-cam camera. Haar transform is used to face detection and adopted illumination normalization is used for arbitrary illumination conditions. Facial image through illumination normalization is extracted using Haar face features easily. Eye candidate area through illumination normalization can be reduced by anthropometric measurement and eye detection is performed by PCA and Circle Mask mixture model. This methods achieve robust eye detection on arbitrary illumination changing conditions. Drowsiness state is determined by the level on illumination normalize eye images by a simple calculation. Our system alarms and operates seatbelt on vibration through controller area network(CAN) when the driver's doze level is detected. Our algorithm is implemented with low computation complexity and high recognition rate. We achieve 97% of correct detection rate through in-car environment experiments.

Tourism demand and atmospheric parameters: non-intrusive observation techniques

CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 51:135-145 (2012) - DOI: https://doi.org/10.3354/cr01068 Tourism demand and atmospheric parameters: non-intrusive observation techniques M. B. Gómez-Martín1,*, E. Martínez-Ibarra2 1Department of Physical Geography and Regional Geographical Analysis, University of Barcelona, Montalegre 6, Barcelona 08001, Spain 2Laboratory of Climatology, University of Alicante, Campus de San Vicente del Raspeig, s/n, Apdo. Correos 99, Alicante 03080, Spain *Email: bgomez@ub.edu ABSTRACT: In this study, we used images from webcam cameras and Argus video systems to examine how the behaviour of sun and beach tourists in Spain was influenced by the meteorological weather conditions. We applied a qualitative visual count method, which involved creating a bank of images and undertaking a classification of the density of use at each observation point. Thus, each image was assigned a density-of-use level. These results were then correlated with a range of meteorological variables and the physiological equivalent temperature (PET). Atmospheric conditions do have an impact on the behaviour of sun and beach tourists, and our study shows that the density of use of the beaches in Spain is controlled by solar radiation (the aesthetic facet) and the maximum temperature and PET (the comfort facet). The optimal thresholds of these meteorological variables for going to the beach were as follows: a maximum temperature between 28.83 and 31°C; a maximum PET between 34.5 and 38.8°C; a percentage of solar radiation at 13:00 h of at least 50%; a wind speed at 13:00 h of <8 m s−1 (or, at the most, <10 m s−1); and no rainfall or, at the most, <1 mm d−1 or a rainfall event with a duration of <60 min. The application of these thresholds for determining the degree of use of beaches during the year should lead to more accurate forecasts of the calendar of the tourist season and ensure that the basic tourist resources provided for beach tourism are managed more effectively during these periods, including the provision of services and safety facilities. KEY WORDS: Sun and beach tourism · Atmospheric conditions · Tourism demand · Webcams · Spain Full text in pdf format PreviousNextCite this article as: Gómez-Martín MB, Martínez-Ibarra E (2012) Tourism demand and atmospheric parameters: non-intrusive observation techniques. Clim Res 51:135-145. https://doi.org/10.3354/cr01068 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 51, No. 2. Online publication date: March 07, 2012 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2012 Inter-Research.

Exploiting green analytical procedures for acidity and iron assays employing flow analysis with simple natural reagent extracts

Green analytical methods employing flow analysis with simple natural reagent extracts have been exploited. Various formats of flow based analysis systems including a single line FIA, a simple lab on chip with webcam camera detector, and a newly developed simple lab on chip system with reflective absorption detection and the simple extracts from some available local plants including butterfly pea flower, orchid flower, and beet root were investigated and shown to be useful as alternative self indicator reagents for acidity assay. Various tea drinks were explored to be used for chromogenic reagents in iron determination. The benefit of a flow based system, which allows standards and samples to go through the analysis process in exactly the same conditions, makes it possible to employ simple natural extracts with minimal or no pretreatment or purification. The combinations of non-synthetic natural reagents with minimal processed extracts and the low volume requirement flow based systems create some unique green chemical analyses.

Webcam camera as a detector for a simple lab-on-chip time based approach

A modification of a webcam camera for use as a small and low cost detector was demonstrated with a simple lab-on-chip reactor. Real time continuous monitoring of the reaction zone could be done. Acid-base neutralization with phenolphthalein indicator was used as a model reaction. The fading of pink color of the indicator when the acidic solution diffused into the basic solution zone was recorded as the change of red, blue and green colors (%RBG.) The change was related to acid concentration. A low cost portable semi-automation analysis system was achieved.

얼굴 인식 및 화자 정보를 이용한 오프라인 회의 기록 지원 시스템

최근 멀티미디어 서비스는 동영상 압축 기술 및 네트워크의 발달을 기반으로 하여 다양한 응용 서비스를 제공하고 있으며, 이 중 화상 회의 시스템은 이 두 가지 기술이 효과적으로 사용된 대표적인 예이다. 원격 사용자간의 원활한 의사전달을 위해 고려된 화상회의 시스템은 효과적인 응용 서비스로 분류되고 있지만, 이러한 서비스 제공을 위한 기술을 이용하여 빈도가 훨씬 많은 일반적인 회의를 지원하는 응용서비스는 드문 편이다. 본 논문에서는 얼굴 정보와 화자 정보를 기반으로 오프라인 회의를 보조하는 시스템을 제안한다. 제안된 시스템은 3개의 마이크와 웹캠을 이용하여 화자의 위치를 파악하고 웹캠에서 얻어진 정보를 이용하여 얼굴 영역 정보를 분석하고 인식한 후 화자 정보를 추출하여 발언자들을 추적하여 기록하는 기능을 제공한다. Recent multimedia technology has supported various application services based on the development of effective movie compression and network techniques. On-line video conference system is a typical example that use theses two technologies effectively. On-line video conference system can be characterized into an effective conferencing method for long-distanced on-line conference members. But, unfortunately, off-line conference with face-to-face meeting is more frequent than on-line conference and their support systems have not been sufficiently considered. In this paper, we propose a recording support system for off-Line conference using face and speaker recognition. This system finds the speaker in the conference by using three microphones and three webcam cameras. And analysis is done with face region information that gathered by currently active webcam camera, and recognizes the identity of face. Finally, the system tracks speaker and records conference with extract speaker information.