scholarly journals Raspberry Pi-based mobile system of the pupil size evaluation

2021 ◽  
Vol 2142 (1) ◽  
pp. 012021
Author(s):  
A Ya Suranov
Keyword(s):  
Pupil Size ◽  
Pupil Diameter ◽  
Video Camera ◽  
Measuring System ◽  
Raspberry Pi ◽  
Color Glass ◽  
Image Brightness ◽  
Single Board Computer ◽  
Image Recording ◽  
Size Evaluation

Abstract The article considers development of a human pupil measuring system on the Raspberry platform. The system is aimed at evaluating the variations of the human pupil diameter or area in the process of watching test images or video recordings. To reduce the interference from the eye surface the camera uses a band-stop color glass filter PS 13. In order to increase the pupil image contrast, IR LED backlighting of the eye is implemented. To provide the mobility of the system, battery power of the single-board computer was used while the registered image and the measurement results were transmitted via a Wi-Fi channel. The video camera and the single-board computer Raspberry Pi 4 with the battery bay are attached to the head-mounted flexible belt. The article gives the operation duration evaluation of the battery-supplied system. During the first stage of image processing, binarization by the threshold was performed. The threshold is determined by the image brightness histogram. Since the study is focused on relative variations of the pupil size, the pupil diameter or area values in pixels were chosen as informative parameters. The image recording and processing frequency in the system equalled 25 Hz that provides accurate recording of the pupil variations.

High-resolution measurement of birefringent fine structure in living cells using a new polarized light microscope

1995 ◽  
Vol 53 ◽  
pp. 54-55
Author(s):  
Rudolf Oldenbourg
Keyword(s):  
Light Microscope ◽  
Fluorescent Dyes ◽  
Polarized Light ◽  
Processing System ◽  
Video Camera ◽  
Molecular Organization ◽  
Computer Assisted ◽  
Image Recording ◽  
Birefringent Crystal ◽  
Technological Advances

The recent renaissance of the light microsope is fueled in part by technological advances in components on the periphery of the microscope, such as the laser as illumination source, electronic image recording (video), computer assisted image analysis and the biochemistry of fluorescent dyes for labeling specimens. After great progress in these peripheral parts, it seems timely to examine the optics itself and ask how progress in the periphery facilitates the use of new optical components and of new optical designs inside the microscope. Some results of this fruitful reflection are presented in this symposium.We have considered the polarized light microscope, and developed a design that replaces the traditional compensator, typically a birefringent crystal plate, with a precision universal compensator made of two liquid crystal variable retarders. A video camera and digital image processing system provide fast measurements of specimen anisotropy (retardance magnitude and azimuth) at ALL POINTS of the image forming the field of view. The images document fine structural and molecular organization within a thin optical section of the specimen.

scholarly journals UAVs in rail damage image diagnostics supported by deep-learning networks

2021 ◽  
Vol 11 (1) ◽  
pp. 339-348
Author(s):  
Piotr Bojarczak ◽  
Piotr Lesiak
Keyword(s):  
Deep Learning ◽  
Head Width ◽  
Learning Networks ◽  
Image Brightness ◽  
Learning Network ◽  
Rail Head ◽  
Image Recording ◽  
Python Language ◽  
Deep Learning Network ◽  
Efficiency Rate

Abstract The article uses images from Unmanned Aerial Vehicles (UAVs) for rail diagnostics. The main advantage of such a solution compared to traditional surveys performed with measuring vehicles is the elimination of decreased train traffic. The authors, in the study, limited themselves to the diagnosis of hazardous split defects in rails. An algorithm has been proposed to detect them with an efficiency rate of about 81% for defects not less than 6.9% of the rail head width. It uses the FCN-8 deep-learning network, implemented in the Tensorflow environment, to extract the rail head by image segmentation. Using this type of network for segmentation increases the resistance of the algorithm to changes in the recorded rail image brightness. This is of fundamental importance in the case of variable conditions for image recording by UAVs. The detection of these defects in the rail head is performed using an algorithm in the Python language and the OpenCV library. To locate the defect, it uses the contour of a separate rail head together with a rectangle circumscribed around it. The use of UAVs together with artificial intelligence to detect split defects is an important element of novelty presented in this work.

Clinical evaluation of the repeatability of ocular aberrometry obtained with a new pyramid wavefront sensor

2018 ◽  
Vol 29 (6) ◽  
pp. 585-592 ◽  
Author(s):  
Ana B Plaza-Puche ◽  
Liberdade C Salerno ◽  
Francesco Versaci ◽  
Daniel Romero ◽  
Jorge L Alio
Keyword(s):  
Standard Deviation ◽  
Correlation Coefficient ◽  
Intraclass Correlation Coefficient ◽  
Pupil Size ◽  
Pupil Diameter ◽  
Intraclass Correlation ◽  
Wavefront Sensor ◽  
Mean Square ◽  
The Subject ◽  
Healthy Eyes

Purpose:To evaluate the intrasubject repeatability of the ocular aberrometry obtained with a new ocular pyramidal aberrometer technology in a sample of normal eyes.Methods:A total of 53 healthy eyes of 53 subjects with ages ranging from 18 to 45 years were included in this study. In all cases, three consecutive acquisitions were obtained. Intrasubject repeatability of the measurements with a pyramidal aberrometer was calculated. Intrasubject repeatability for 4.0- and 6.0-mm pupils was evaluated within the subject standard deviation (Sw) and intraclass correlation coefficient.Results:Low values of the Swand intraclass correlation coefficient outcomes close to 1 were observed for the sphere and cylinder at 3.0-mm pupil size. Most low Swand intraclass correlation coefficient values close to 1 were observed for total, low-order aberrations and higher-order aberrations root mean square and for each Zernike coefficient analysis (intraclass correlation coefficient ⩾0.798) at 4.0-mm pupil size, with more limited outcomes for the aberrometric coefficient of Z(4, 4) with an intraclass correlation coefficient of 0.683. For a 6.0 mm pupil diameter, low Swand intraclass correlation coefficient values close to 1 were observed for all aberrometric parameters or Zernike coefficients analyzed (intraclass correlation coefficient ⩾0.850).Conclusion:The new pyramidal aberrometer Osiris provides repeatable and consistent measurements of ocular aberrometry measurements in normal eyes.

scholarly journals Determinación del factor de potencia mediante el uso de SBC en clientes

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Luis Tipán ◽  
José Rumipamba
Keyword(s):  
Raspberry Pi ◽  
Single Board Computer

El entregar un servicio eléctrico de calidad es el principal objetivo de las empresas distribuidoras de energía. Existen problemas de afección en la distribución de energía y uno de ellos son los efectos negativos causados por los armónicos presentes en las cargas lineales y no lineales utilizadas por clientes residenciales e industriales, afectándose directamente en forma negativa el factor de potencia. En este trabajo se mide el factor de potencia producido por cargas típicas que se encuentran en áreas residenciales por medio de un medidor inteligente basado el uso de SBC (Single Board Computer), como son la Raspberry Pi y el Arduino. Además, se evalúan los efectos producidos por este factor de potencia para luego determinar su influencia en la distorsión de voltaje en un sistema de distribución.

scholarly journals MEDIA PEMBELAJARAN PEMANCAR WIRELESS FM MENGGUNAKAN RASPBERRY PI

2020 ◽  
Vol 11 (1) ◽  
pp. 257-262
Author(s):  
Solekhan Solekhan ◽  
Mohammad Iqbal
Keyword(s):  
Software Defined Radio ◽  
Raspberry Pi ◽  
Single Board Computer

Media pembelajaran merupakan alat bantu yang diperlukan untuk menambah pemahaman dalam pembelajaran. Pemancaran gelombang FM, yang merupakan sebagian dalam Pengolahan Sinyal tanpa kabel, dibutuhkan dalam pemahaman pemancaran gelombang Radio. Raspberry Pi yang merupakan Single Board Computer, dapat diprogram dengan mudah dan memiliki keluwesan dalam penggunaannya. Dalam penelitian ini Raspberry dimanfaatkan penggunaannya sebagai pemancar FM. Proses pemancaran dilakukan dengan memanfaatkan Software Defined Radio. Dari hasil pengujian, pengubahan variasi frekuensi pemancaran FM dapat dilakukan dengan mudah, dan mampu memancarkan gelombang FM dengan baik.  

scholarly journals Rancang bangun penjejak posisi matahari menggunakan kamera dan single board computer

2021 ◽  
Vol 1 (1) ◽  
pp. 43-50
Author(s):  
Faisal Wahab
Keyword(s):  
Raspberry Pi ◽  
Single Board Computer

Energi matahari adalah sumber energi terbesar yang ada di muka bumi ini. Panel surya merupakan sebuah peranti elektronik yang dapat memanfaatkan energi dari sinar matahari untuk dikonversi menjadi energi listrik. Semakin besar permukaan panel surya tersinari cahaya matahari, maka energi listrik yang dihasilkan lebih besar. Makalah ini memaparkan rancang bangun penjejak matahari menggunakan kamera sebagai pendeteksi posisi matahari dengan modul Raspberry pi sebagai kendali untuk pengolahan citra. Pergerakan penjejak posisi matahari ini menggunakan dua aksis, yaitu pitch dan roll. Aktuator yang digunakan untuk mengikuti posisi matahari adalah dua buah motor DC dengan jenis linier aktuator. Hasil dari pengujian menunjukan bahwa kamera dapat mendeteksi titik cahaya menggunakan pengolahan citra pada modul Raspberry pi. Kemudian rangka penjejak sinar matahari berhasil menuju posisi yang diinginkan yaitu pada titik tengah kamera dengan menggerakan dua buah linier aktuator melalui driver motor.

scholarly journals PERANCANGAN SISTEM DETEKSI OBJEK PADA ROBOT KRSBI BERBASIS MINI PC RASPBERRY PI 3

2019 ◽  
Vol 12 (1) ◽  
pp. 56-64
Author(s):  
Ilfan Sugianda ◽  
Thamrin Thamrin
Keyword(s):  
Image Processing ◽  
Image Data ◽  
Raspberry Pi ◽  
Process Data ◽  
Single Board Computer ◽  
Object Based ◽  
Football Match ◽  
Omni Wheel ◽  
Python Programming ◽  
Camera Sensor

KRSBI Wheeled is One of the competitions on the Indonesian Robot Contest,. It is a football match that plays 3 robot full autonomous versus other teams. The robot uses a drive in the form of wheels that are controlled in such a way, to be able to do the work the robot uses a camera sensor mounted on the front of the robot, while for movement in the paper author uses 3 omni wheel so the robot can move in all directions to make it easier towards the ball object. For the purposes of image processing and input and output processing the author uses a Single Board Computer Raspberry PI 3 are programmed using the Python programming language with OpenCV image processing library, to optimize the work of Single Board Computer(SBC) Raspberry PI 3 Mini PC assisted by the Microcontroller Arduino Mega 2560. Both devices are connected serially via the USB port. Raspberry PI will process the image data obtained webcam camera input. Next, If the ball object can be detected the object's position coordinates will be encoded in character and sent to the Microcontroller Arduino Mega 2560. Furthermore, Arduino mega 2560 will process data to drive the motors so that can move towards the position of the ball object. Based on the data from the maximum distance test results that can be read by the camera sensor to be able to detect a ball object is �5 meters with a maximum viewing angle of 120 �.

scholarly journals Development and Certification of A Visibility-Range Monitor By Image Processing

1989 ◽  
Vol 13 ◽  
pp. 117-119
Author(s):  
Keishi Ishimoto ◽  
Masao Takeuchi ◽  
Shigeyuki Naitou ◽  
Haruki Furusawa
Keyword(s):  
Image Processing ◽  
Vertical Distribution ◽  
Video Camera ◽  
Measuring System ◽  
Blowing Snow ◽  
Snow Surface ◽  
Charge Coupled Device ◽  
Visibility Range ◽  
A Charge ◽  
The Vertical Distribution

A new visibility-range measuring system has been developed which uses a video camera, and with which visibility can be estimated by measuring the brightness contrast of a black target against a standardized background. This principle has been applied to development of the new visibility-range monitor described in this paper. In this monitor, a charge-coupled device (CCD) video camera measures the brightness of an arbitrary area in its range of vision, and visibility range measured by the video camera in blowing snow can be compared with that measured by the transmissometer-type visibility-range monitor and can also be calculated by direct observation using optical targets. The new sytem can monitor visibility and record information about traffic on highways at 1 s intervals for a maximum of six separate positions. The vertical distribution of visibilities over a snow surface has been observed, and it has been found that the fluctuation in visibility is greatest at lower levels above the ground in blowing snow.

scholarly journals Relationship between facial attractiveness and pupil diameter in young adults

Psico ◽  
2019 ◽  
Vol 50 (2) ◽  
pp. 30033
Author(s):  
Silvana Queiroga da Costa Carvalho ◽  
Michael Jackson Oliveira De Andrade ◽  
Natanael Antonio Dos Santos
Keyword(s):  
Young Adults ◽  
Phase I ◽  
Pupil Size ◽  
Pupil Diameter ◽  
Facial Attractiveness ◽  
Human Face ◽  
Significant Difference ◽  
The Difference ◽  
Post Hoc ◽  
Step Study

The objective of this study was to investigate whether there is a relationship between pupil diameter and facial attractiveness. Participated in the study 60 young adults (30 men and 30 women) between 18 and 26 years of age (M = 20.65, SD = 2.20). Ten different unfamiliar neutral faces (five men and five women) were used as stimuli. The pupil diameter of each face was manipulated with pupil diameters of 2, 3, 4, 5 and 6 mm (10 faces x 5 pupil diameters = 50stimuli). A two-step study was carried out with the same sample and the same sets of faces, seeking to understand the difference of responses between subjects of both sexes. In phase I, result indicated a significant difference in relation to the pupil diameter factor for both the men (ꭓ² = 21.93, p < .05) and the women (ꭓ² = 44.73, p < .05). In phase II, the results indicated significant differences in relation to the pupil size [F (1, 234) = 19.06, p < 0.05]. The post-hoc Tukey HSD test showed that both the men and the women differently judged the faces with a pupil diameter of 2 mm in relation to the faces with pupil diameters of 3, 4, 5 and 6 mm (p < .05). Also, a significant difference between the diameter of 5 mm in relation to the diameter of 3 mm (p < .05). In general, the results indicate that the pupil diameter is a structural component of the human face that plays an important role in the process of judging facial attractiveness.***Relação entre a atratividade facial e diâmetro pupilar em adultos jovens***O objetivo deste estudo foi investigar a relação entre o diâmetro da pupila e a atratividade facial. Participaram da pesquisa 60 jovens com idade entre 18 e 26 anos. Foram utilizadas dez faces de adultos jovens, manipulou-se o diâmetro de cada pupila com variações de 2, 3, 4, 5 e 6 mm. Realizou-se um estudo em duas etapas: na fase I, o resultado indicou diferença significativa para o fator de diâmetro pupilar tanto para homens quanto para mulheres (p < 0,05). Na fase II, os resultados indicaram diferenças significativas em relação ao tamanho da pupila (p < 0,05). O teste post-hoc Tukey mostrou que tanto os homens quanto as mulheres avaliaram diferentemente as faces com diâmetro pupilar de 2 mm (p < 0,05). Em geral, os resultados indicam que o diâmetro da pupila é um componente da face humana que desempenha um importante função no processo de julgamento da atratividade facial.

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