Tópicos Sugeridos dentro de su búsqueda.
Tópicos Sugeridos dentro de su búsqueda.
https://purl.org/pe-repo/ocde/ford#2.00.00
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Image processing
4
https://purl.org/pe-repo/ocde/ford#2.02.04
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Socioeconomic, Current Use, Ecological Economic Zoning, Territory Occupation
3
https://purl.org/pe-repo/ocde/ford#2.02.01
3
socioeconómico, uso actual, Zonificación Ecológica Económica, ocupación del territorio
3
Algorithm
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1
artículo
Publicado 2018
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A software tool was developed in the Imaging Processing Research laboratory (INTI-Lab) that automatically downloads several IONEX files around a specific user input date and also performs statistical calculations to look for ionospheric anomalies through the generation of differential vertical total electron content (ΔVTEC) maps. The IONEX CODE-Database Processing Tool (ICPT) software allows to save a considerable amount of time spended in gathering the necessary IONosphere map EXchange (IONEX) files for the production of differential VTEC maps. Using the ICPT software we were able to detect ionospheric anomalies before the devastating earthquake that happened in Mexico on September 7, 2017. A positive and negative ionospheric anomalies were detected nine days and one day before the seismic event. Due to stable geomagnetic conditions we suggest that the anomalies are assocciated to the ...
2
artículo
Publicado 2022
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This work proposes a computational algorithm to convert digital files containing electrocardiogram (ECG) information into 1D signals. Many medical databases have in storage files containing ECG information that is not easy to process for computational algorithms. Digitization by the proposed method makes it possible to modernize the databases of many health centers in order to perform post-processing of the signals obtained. This method is based on applying digital signal processing techniques to images obtained from a PDF file produced by an electrocardiograph. The proposed algorithm takes into consideration the thickness of the printed signal in the PDF image so that it does not introduce distortion in the final 1D signal. Due to the distribution of the ECG signals on the PDF files the algorithm identifies and segments the signals on 2 dimensions. The results show that the proposed met...
3
artículo
The project describes the design and implementation of an automatic system for detecting defects in plastic crates for glass bottles. In all companies there is damage and defects in their cases, crates, or containers due to constant use, as they are reusable, and therefore this problem causes various economic losses and a decrease in production, especially in beverage companies. This system was designed to solve and prevent the crates from having defects in their base and containing waste inside, to obtain less product losses in the bottle packaging area. In this research, it is proposed to design the automatic system, which consists of training a convolutional neural network with a database of 136 photographs of waste and defects in the boxes that will be taken by the HQ Raspberry Camera; then programmed into the Raspberry the process of activating the engine so that the box is moved to...
4
artículo
Publicado 2022
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The following study proposes to analyze and compare the computational response provided by the Single Board Computers (SBC) Raspberry Pi CM4 and Nvidia Jetson Nano because those are important elements in machine learning applications and implementation of automated systems. Both were chosen due to their similar specifications to achieve a fair comparison. For the development of this research, an algorithm was implemented with a Support Vector Machine to be able to compare the performance in real-time of both computers based on performance metrics such as execution time, algorithm accuracy, CPU performance, and temperature. To validate results, there is a database of 2186 white asparagus images, which were classified based on attributes such as length, curvature, diameter, and purple hue. These attributes are established by the Peruvian Asparagus and Vegetable Institute (IPEH) in the Peru...
5
tesis de grado
Publicado 2025
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La neumonía y la tuberculosis (TB) son las enfermedades respiratorias más prevalentes en niños de uno a cinco años en Perú. Un diagnóstico rápido y eficaz es esencial para hospitales, clínicas e instituciones de salud, ya que mejora los resultados del paciente y optimiza la eficiencia operativa. El deep learning (DL) aplicado al análisis de imágenes médicas ha demostrado ser valioso para el diagnóstico, ayudando a los médicos a incrementar la exactitud y reducir el error humano. Este estudio desarrolló un modelo basado en la arquitectura ResNet para detectar neumonía y TB en radiografías de tórax pediátricas, utilizando una base de datos de 5856 imágenes del Centro Médico de Mujeres y Niños de Guangzhou (4100 de entrenamiento, 878 de validación y 878 de prueba) y del Instituto Nacional de Alergias y Enfermedades Infecciosas (988 de entrenamiento, 211 de validación ...
6
tesis de grado
Publicado 2020
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Vehicle impersonation is one of the main problems based on license plates adulteration. Furthermore, license plate recognition has been field of study of computer vision, due to the high impact it has on intelligent transport, road safety, etc. This work presents an OCR process based on license plate recognition. To achieve this, we have established a rectified license plate database to experiment. The process consists of an initial noise filtering to the images, to later segment the region of the plate that contains the characters, then, perform a pre-processing on the images and, finally, isolate each of the characters to apply the OCR individually to each one of them. The results show an 89.33% accuracy in the license plate recognition in accordance with similar researches, and a 96.11% accuracy in the recognition of each character individually.
7
tesis de grado
Publicado 2025
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La problemática de control de producción utiliza sensores en aplicaciones de fajas transportadoras, pero con la llegada de la industria 4.0 el uso de visión por computadora se ha vuelto una opción atractiva para el control de la producción. Lo cual queda evidenciado en [1] donde se hace uso de visión por computadora para hacer un control de la producción en una línea automotriz. Asimismo, en el caso de elementos con una geometría más simple, se pueden emplear técnicas de procesamiento de imágenes para realizar el control de la producción [2]. Por lo tanto, en la presente investigación para enfrentar la problemática del control de la producción en las cadenas de transmisión, se plantea un algoritmo capaz de hacer seguimiento y contabilización de elementos fabricados. Para lograrlo se empieza con la creación de la base de datos con fotografías de las piezas que componen...
8
tesis de grado
La investigación realizada contiene análisis e implementación del desarrollo de un sistema de información de cobranza para la empresa Créditos Sebastián. Solucionándose la problemática de la cobranza y cambiando la imagen y los procesos arcaicos que se venían ejecutando en los procesos de cobranza por los créditos otorgados a sus clientes, en algunos casos morosos, los mismos que venían generando estancamiento de capital y paralización del movimiento económico. Para el desarrollo del análisis e implementación se recurrió a UWE, para plantear las actividades y modelado orientado a un producto web; se utilizó JAVA con framework Java Server Faces y la base de datos empleada fue MySQL; como IDE de desarrollo se utilizó NetBeans 8.0.2. Los resultados obtenidos y presentados en los indicadores se obtuvo de una muestra de 824 cobranzas estratificadas en 20 días, inicialmente ...
9
artículo
A documentary analysis is presented of academic articles that address the subject of image in tourism, definition, characteristics and integrating elements of the concept; typology in tourism and its relationship with image; countries that develop research on the subject and its influence on the development of tourism activity. Considering the importance of image in the information process, 70 studies published in research journals, found in the Dialnet, EBSCO, Redalyc and Scielo databases, were compiled for a period of time from 2005 to 2020. The research technique and instrument is the document review matrix, created to analyze: document identification factors, document citation factors, document location and impact factors and document theoretical analysis factors. In a context of virtuality and rapid access to technology, rather than completely replacing the definition that dates bac...
10
tesis de maestría
Publicado 2023
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Multibiometric systems rely on the idea of combining multiple biometric methods into one single process that leads to a more reliable and accurate system. The combination of two different biometric traits such as face and ear results in an advantageous and complementary process when using 2D images taken under uncontrolled conditions. In this work, we investigate several approaches to fuse information from the face and ear images to recognize people in a more accurate manner than using each method separately. We leverage the research maturity level of the face recognition field to build, first a truly multimodal database of ear and face images called VGGFace-Ear dataset, second a model that can describe ear images with high generalization called VGGEar model, and finally explore fusion strategies at two different levels in a common recognition pipeline, feature and score levels. Experime...
11
documento de trabajo
Publicado 2022
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The correct identification of timber species is a complicated task for the wood industry and government institutions regulating the different laws that ensure legal and transparent commerce. Currently, experts perform this process using the organoleptic characteristics of the wood. However, the methodology used is time-consuming and limited to environmental conditions. Moreover, it has a scalability issue since acquiring this specific knowledge and experience has a slow learning curve. On the other hand, deep learning models have evolved as possible solutions for process automation. Therefore, this paper explores convolutional neural network models suited to run on edge devices. The present study created a database with 25k images of 25 timber species from the Peruvian Amazon. We trained-validated multiple lightweight models (less than 5M). The experiments were made using a repeated stra...
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13
artículo
Publicado 2024
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This study aimed to describe the demographic, clinical, and imaging characteristics of canine patients with liver enzyme alterations treated at a veterinary center in Lima, Peru, during the 2019-2023 period. The study design was observational, descriptive, and cross-section. The sampling was non-probabilistic and census-based. A total of 116 medical records were reviewed, and the variables considered included demographic characteristics (sex, breed, age), clinical (signs), blood biochemistry (alanine aminotransferase [ALT], aspartate aminotransferase [AST], and alkaline phosphatase [ALP]), and ultrasonographic findings. The database was organized using Microsoft Excel (version 16), processed, and analyzed with descriptive statistics using STATA software (version 18). The most frequent demographic characteristics were male sex (56.03%; n = 65), mixed breed (52.59%; n = 61), and adult age ...
14
artículo
Publicado 2019
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The objective of this work was to obtain vegetation indexes using the Landsat satellite images at the top of the atmosphere (TOA), the area of inuence of the Majes Authority Special Project (AUTODEMA), which covers the Pampas de Majes - Siguas, in Arequipa - Peru. From 1984 to 2018. For this purpose, the Cloud Engine cloud computing application was used in the Google Earth Engine (GEE) database, at the Petabyte (PB) scale. The tool called Climate Engine developed by researchers from the University of Idaho and Desert Research Institute - DRI was used. Allowing web processing satellite images of the Landsat Mission, extract values from the various bands, within a grid, to determine the Vegetation Indexes such as NDVI, NDWI, SAVI, GNDVI, obtaining a series of time within the study surface of the AUTODEMA and be able to estimate the amount and degree of development of the plant species plan...
15
objeto de conferencia
Publicado 2018
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Classification green coffee beans is one of the main tasks during the quality grading process. This evaluation is normally carried out by specialist doing a visual inspection or using traditional instruments which have some limitations. This work is focused on the implementation of a computer vision system combining a hardware prototype and a software module. The hardware was made to guarantee the controlled conditions to capture the images of green coffee beans, the software is based on computer vision algorithms in order to detect defects of the coffee beans. The novelty of our proposal is the combination of algorithms to enhance the accuracy and the high number of defects detected. We applied a White Patch algorithm as an image enhancement procedure, color histograms as feature extractor and Support Vector Machine (SVM) for the classification task. It was constituted an image beans da...
16
artículo
Publicado 2016
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Se plantea un método de reconocimiento de marcas ópticas utilizando una cámara WEB a través del presente trabajo. El mismo se orienta al reconocimiento del código y la nota de un estudiante en un cuadernillo de evaluación. Las marcas se generan en el cuadernillo utilizando un lapicero. Se utilizan algoritmos y técnicas de procesamiento de imágenes como el filtrado espacial, umbralización, segmentación, descripción y reconocimiento a través de redes neuronales. El método propuesto permite automatizar el ingreso de notas académicas a una base de datos, sin alterar significativamente el formato de los cuadernillos utilizado en las evaluaciones de los estudiantes. Los resultados obtenidos demuestran que el método propuesto alcanza un error máximo del 2% en el proceso de reconocimiento.
17
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...
18
tesis de grado
Implementación de un sistema de autenticación mediante validación biométrica para procesos bancarios
Publicado 2023
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El propósito principal del proyecto es la implementación de un sistema de autenticación mediante validación biométrica, para procesos bancarios haciendo uso de una entrada de una imagen que el usuario brinda, a través de un selfie o un documento de identidad como DNI, carné de extranjería o pasaporte. De esta manera se coteja con una base de datos; ya sea la del RENIEC o la base de datos de la compañía que almacena las credenciales biométricas, previamente validadas. Se empleó el sistema de reconocimiento facial mediante la técnica de Haar cascade que utiliza el lenguaje de programación python y la librería de procesamiento de imágenes OpenCv2. Al final del proceso se obtuvo una precisión del 95.5% en la implementación del sistema de identificación, ya que se desarrolló bajo un algoritmo basado en Deep Learning cuyo enfoque es el aprendizaje no supervisado, lo que le ...
19
objeto de conferencia
Publicado 2023
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Conferencia de la IX International Conference Days of Applied Mathematics (IX ICDAM)
20
artículo
Publicado 2018
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Different Machine Learning techniques have been used in order to identify the wishes of patients with neurodegenerative diseases. For this purpose, a database of electroencephalographic (EEG) signals was used, which were filtered and processed. The determination of the wills of patients was achieved through the identification of brain waves P300, these signals are presented in the brain in response to an unexpected stimulus and among its many applications is the implementation of the so-called Brain-Computer Interface .
