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1
artículo
Publicado 2022
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Objectives: To determine the validity and reliability of the instrument "Computer Vision Syndrome Questionnaire (CVS-Q)" in the measurement of the Computer Visual Syndrome in health personnel in Lima. Methods: A quantitative, observational, descriptive, cross-sectional and questionnaire study was carried out in 82 health workers. Content validity was evaluated by expert judgment with the Aiken V statistical method; construct validity, through factor analysis; discriminant validity, through the receiver operating characteristic curve (ROC) curve contrasted with the CSSV17 questionnaire; internal consistency reliability, with Cronbach's alpha; reliability test - re-test (7 days apart); with Spearman's Rho and Interclass Correlation Coefficient (ICC) with 95% CI. The SPSS software version 20.0 for Windows with a trial license was used for its processing. Results: The V of Aiken obtained a v...
2
artículo
Publicado 2020
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Recent advances in computer vision have favored technological developments in the automotive industry. In this work, we present methods relevant to the use of cameras as measurement devices in computer vision and their applications in the automotive industry. The methods are edge and ellipse detection, camera calibration, 3-D reconstruction and stereo vision. The applications include methods for detecting rims in automotive wheels, estimation of the calibration angles of vehicles and the reconstruction of a vehicle's trajectory using stereo vision. The results showed the potential of computer vision methods to solve complex problems in the automotive industry. In conclusion, a set of techniques and applications of computer vision in the automotive industry are presented in order to motivate future developments in this and other related areas.
3
artículo
Publicado 2020
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Recent advances in computer vision have favored technological developments in the automotive industry. In this work, we present methods relevant to the use of cameras as measurement devices in computer vision and their applications in the automotive industry. The methods are edge and ellipse detection, camera calibration, 3-D reconstruction and stereo vision. The applications include methods for detecting rims in automotive wheels, estimation of the calibration angles of vehicles and the reconstruction of a vehicle's trajectory using stereo vision. The results showed the potential of computer vision methods to solve complex problems in the automotive industry. In conclusion, a set of techniques and applications of computer vision in the automotive industry are presented in order to motivate future developments in this and other related areas.
4
artículo
Securing a reliable source of food for the ever-growingpopulation is one of the big challenges for humanity.Demand for aquatic foods will continue to grow andproduction process in aquaculture needs improvement. Alow-cost Internet of Things based system for monitoringhatching and growth of Rainbow trout (Oncorhynchusmykiss) is designed and implemented in a rural area in Peru.Three-layer architecture with sensors and underwatercamera based on raspberry pi, Wi-Fi and satelliteconnection to Internet sends data to cloud services forstorage and analysis. The system reduced drastically themanual and time-consuming monitoring tasks relatedto traditional aquaculture and the data collected will beused to establish optimal growth conditions parametersand future growth predictions.
5
artículo
Publicado 2024
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This article analyzes the application of Convolutional Neural Networks (CNN) in the field of computer vision, using the bibliometric method. An analysis of literary samples, using basic descriptive statistics, is performed by filtering the Scopus database of 2526 records, comprising a period of 5 years (2018-2022). The review of the theoretical framework reveals that CNRs are employed in various computer vision applications such as image recognition, object classification, pattern detection and other applications related to image processing including fault diagnosis. The bibliometric analysis indicates a significant increase in the production of articles on CNRs in the area of machine vision, covering several areas, such as computer science and engineering, areas that have the highest concentration of research papers, and Chinese organizations have the highest proportion of affiliation a...
6
tesis de grado
En la actualidad, en muchos tipos de investigación se ha estudiado la estructura celular para identificar enfermedades o realizar diagnósticos clínicos; de los hongos y las células epiteliales, porque el aumento de las infecciones fúngicas invasivas en los últimos años, sobre todo en pacientes inmunodeprimidos, ha impulsado la búsqueda de nuevos agentes antifúngicos con mayor eficacia. La membrana celular fúngica está enriquecida con diversos lípidos pertenecientes a la clase de los glicerofosfolípidos, esfingolípidos y esteroles. Además, se desconocen en gran medida las funciones precisas de los lípidos de membrana en la organización de estos dominios de membrana en las células epiteliales, donde están polarizadas y mantienen membranas apicales y basolaterales. Estas células epiteliales tienen estructuras de membrana morfológicamente distintas con funciones específ...
7
tesis de maestría
Publicado 2018
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La pieza completa (Semieje) a inspeccionar, está compuesta por múltiples características y componentes, por lo que para una correcta inspección de todos ellos, fue necesario desarrollar una estación, en la cual el medio eje es ingresado por un robot en posición vertical. En el interior de la estación, el semieje se sujeta en el eje central mediante una mordaza y se comprime mediante dos contrapuntos en los lados superior e inferior para un correcto posicionamiento vertical de la pieza. Luego se gira el semieje alrededor de su eje, de esta forma, las cámaras instaladas en el interior de la estación, comienzan con la adquisición de las imágenes de la superficie completa del semieje. Las imágenes adquiridas son enviadas al módulo de procesamiento basado en PC, en este módulo se ejecutan los algoritmos de captura, procesamiento y análisis de imágenes. Luego del análisis, el ...
8
artículo
Publicado 2021
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Eye health, without a doubt, has been gaining more relevance in recent years due to the promotion of healthy habits in search of caring for our eyes, but the question also arises as to whether we are increasingly exposed to electronic devices with screens, these, can be detrimental to our visual well-being since, due to confinement, the use of these as a work and study tool has increased exponentially.
9
tesis de grado
Publicado 2023
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Agriculture is one of the most important economic activities in Peru. Furthermore, the Peruvian mango is the most important fruit as an export product on the European market due to its good quality. Three varieties of mango are cultivated in Peru: Haden, Kent and Tommy Atkins, each of them presents different characteristics; however, the production of this fruit is affected because manual processes are still used for its production, which generates a delay in the process due to the inaccuracy of the labour. The present study aims to develop the simulation of an automated grading system for Peruvian mangoes based on computer vision. On the other hand, to establish the process development, the transfer learning principle was analysed and a flow diagram of the system was made. The simulation of the system environment was obtained through the Factory IO software, together with the image proc...
10
tesis de grado
Publicado 2024
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Lemon exports are of great influence in Peru, since there is a great demand from countries such as the USA, Belgium and Holland. For this reason, the agricultural sector is one of the essential factors for the economic development of the country, since it generates S/29,553 million annually throughout the national territory. On the other hand, Peru offers two types of lemons, for example: the Tahitian lemon and the subtle lemon; however, due to its characteristics, the Tahitian lemon is the one that is sent as an export product worldwide. Currently, the selection process of this fruit is done manually, since there are not enough industrial optimizations in its process. Therefore, the present study aims to carry out the simulation of an automated grading system for Tahitian lemon based on computer vision. The selection parameters for the image processing were established as the levels of ...
11
artículo
Publicado 2022
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Fish larvae counting is a technique applied in aquaculture to determine the efficiency of the induction stage and to know the number of fertilized larvae. For this reason, the research aims to improve the count of larvae under 3 fundamental pillars: precision, error and time. For this, we carried out an experimental investigation under a completely randomized design with two counting systems: traditional and artificial vision; each one with 10 repetitions, with 2000 larvae; Later, we carried out the count by means of artificial vision using a camera that captured images of a fish tank with moving fish. The results show that the proposed method is feasible for counting larvae, with 92.65% accuracy, 7.41% error and an average time of 61 seconds per repetition in relation to the traditional counting system: accuracy 64.44%, error 35.61% and time 2009.3 s. The developed system can be replica...
12
artículo
Publicado 2024
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This article describes the procedure for implementing a graphical user interface using the App Designer development environment and the Signal Processing Toolbox of Matlab software, to reinforce the teaching of analysis in the domain of time and frequency of periodic and typical signals used in the subject Digital Signal Processing, which belongs to the Electronic Engineering Program of the Ricardo Palma University, Lima, Peru. Likewise, said interface was developed using various components such as DropDown, Button, Knob, Axes, Slider, among others, which allowed the choice of the type of signal from a list, choice of the sampling frequency and the percentage of overlap as well as the size of the window to segment the temporary signal, and in the same way the temporal, frequency and temporal graphic representation- frequency. In this way, the source code of the implementation of the grap...
13
artículo
Publicado 2025
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Pokémon Double Battles present a complex decision-making environment that has traditionally relied on manual data analysis. This paper introduces an automated system leveraging computer vision and deep learning to extract structured gameplay data from battle footage. Our approach integrates You Only Look Once (YOLO) for Pokémon sprite recognition along with Tesseract-based optical character recognition (OCR) for extracting move and status text. The study introduces a custom-built image dataset generated through the augmentation of publicly available Pokémon sprites, which is then used to train a YOLO model for sprite recognition. The system was tested across multiple controlled and real-world gameplay scenarios, achieving high accuracy in Pokémon recognition and action tracking. Additionally, a JSON-based gameplay notation system is proposed to structure battle sequences, thus improv...
14
tesis de maestría
Publicado 2024
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El Perú está ubicado en el 2° lugar como productor de conchas de abanico a nivel mundial según el Centro de Investigación de Economía y Negocios Globales (CIEN), dinamizando la economía en el sector acuícola, el cual viene experimentando un crecimiento constante en relación a la pesquería. No obstante, los procesos de muestreo siguen siendo artesanales, comprometiendo la salud de las personas que realizan esta actividad. Frente a esta realidad la presente tesis busca aportar a la solución de esta problemática, aplicando técnicas de deep learning y computer visión para la segmentación de conchas de abanico en un ambiente no extractivo de recursos hidrobiológicos. Para lo cual se aplicó una metodología, la cual inicia con la recolección de imágenes y construcción de una base de datos de conchas de abanico, realizando luego un pre-procesamiento y selección de imágenes...
15
artículo
Publicado 2025
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This article presents the design and implementation of an electronic device to assist visually impaired people in reading printed texts. This mechatronic system uses a Raspberry Pi V3 camera mounted on glasses to capture images of printed texts. The images are processed through Optical Character Recognition, and the extracted text is converted to audio using a Text-to-Speech synthesizer, allowing the user to access the visual content audibly. The device is based on a Raspberry Pi 3 Model B+ microcontroller for data management and control of the electronic components. It is designed to be portable, ergonomic, and energy-efficient, with a long-lasting battery.
16
artículo
Publicado 2025
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This article presents the design and implementation of an electronic device to assist visually impaired people in reading printed texts. This mechatronic system uses a Raspberry Pi V3 camera mounted on glasses to capture images of printed texts. The images are processed through Optical Character Recognition, and the extracted text is converted to audio using a Text-to-Speech synthesizer, allowing the user to access the visual content audibly. The device is based on a Raspberry Pi 3 Model B+ microcontroller for data management and control of the electronic components. It is designed to be portable, ergonomic, and energy-efficient, with a long-lasting battery.
17
artículo
Digital Image Processing (DIP) books teach algorithms to digitally operate on images and include some figures to show the effects of those mathematical tools. In this report the creation of Imagery, a Virtual Laboratory for computer-assisted education (teaching and learning) of DIP is reported. Imagery can be used in the classroom, in the laboratory or at home. This software was developed to be used as a DIP laboratory, allowing the user to experiment with DIP algorithms, enabling him to see their effects on his own images. In the classroom Imagery helps the teacher in the exposition of the DIP topics he is covering; in the laboratory, Imagery can be used to carry out experiments supporting the topics covered in class; at home, this Virtual Lab can be used by the student to practice and thus reinforce the knowledge acquired in class. This software may also be used by the independent stud...
18
objeto de conferencia
Publicado 2021
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The learning process in training children with visual impairments and low vision requires the use of new devices that integrate image recognition and feedback on stimulation sequences with the senses of tactile and auditory responses into their design. Eighteen students with visual impairments (blind or low vision) between the ages of eight and twelve, who attend a school specialized in teaching children with visual impairments, completed three numerical stimulation routines. The software developed evaluates skills of addition and subtraction, identification of geometric shapes, and mental calculations to achieve a goal. The results of the test showed that the students performed better in the game dynamic than in the addition and subtraction routines. This study is a contribution to designing software for low-cost devices as it has been verified that this type of application works on bot...
19
tesis de maestría
Publicado 2020
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El Síndrome Visual Informático en la actualidad es considerada como un problema de salud pública emergente debido al incremento de las actividades económicas asociadas al uso de pantallas de visualización de datos (PVD); no obstante, la falta de un instrumento que identifique los síntomas y signos precoces de este síndrome por exposición prolongada al uso de PVD convierte al Síndrome Visual Informático en un diagnóstico secundario. El objetivo de esta investigación es la validación del Cuestionario “Computer Vision Syndrome Questionnaire (CVS-Q)” en su versión adaptada al español peruano con la finalidad de evaluar un instrumento como medio de prevención y vigilancia médica para los servicios de salud ocupacional. Para determinar la validez del instrumento se ha realizado la validación del contenido y discriminante. La validez de contenido se determinó mediante el ...
20
tesis de grado
Publicado 2022
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La clasificación de objetos es uno de los campos de estudios más importantes de los últimos años y está asociado a la similitud de características entre los objetos y al continuo crecimiento de los conjuntos de datos de entrenamiento. En base a ello, aumentar el número de muestras de entrenamiento mejora el rendimiento de los clasificadores. Sin embargo, no hay estudios que determinen un estimado de cuántas muestras de entrenamiento son necesarias para generar clasificadores robustos. En esta investigación se intenta responder esta pregunta, enfocando el problema en la clasificación por marca y modelo vehicular. Para ello, se creó un conjunto de datos compuesto por 32 modelos vehiculares diferentes y se utilizó la red VGG16 para la tarea de extracción de características. Asimismo, se utilizaron los algoritmos de clasificación Máquinas de Vector Soporte (SVM), Bosques Alea...
