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1
objeto de conferencia
Publicado 2017
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Sleepiness could cause different accidents at work and in our daily lives. Activities such as driving a car, handling heavy machinery, being in charge of controlling a satellite or monitoring a nuclear plant, are activities that require short visual and motor reaction times. These reactions could be affected by sleepiness. The highest number of these accidents is related to vehicular accidents. WHO statistics show that 1.2 million people worldwide die every year due to road crashes, 50 million people are injured, and more than 3,000 people die daily from road traffic injuries. The primary objective of the present work is to develop a tool based on techniques of artificial intelligence and image processing that can detect states of sleepiness in people whose work needs the greatest attention-to avoid accidents. The idea is to develop an algorithm that can be executed on a computer and thr...
2
artículo
Publicado 2020
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The evaluations in the development of the treatment to be able to recover the motor activity, it is considered of utmost importance in the rehabilitation of lower limbs, the state of the art allows us to evaluate various techniques and commercial products available for the evaluation of the movement and with emphasis on the members inferior, commercial products have the disadvantage of the high cost, which does not allow small medical offices to be able to implement these types of solutions, in this paper we propose a mechanism to evaluate the movements of lower limbs at a very low cost, the The proposal is based on equipment and components that are commonly used, economical and easily acquired; One of its main components is the passive marker that is composed of "expanded polystyrene" that has a half-sphere shape and is placed in the joint to be analyzed, complements the solution a vide...
3
objeto de conferencia
Publicado 2022
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In these times of pandemic, hospitals are being the focus of many innovations, not only for the adaptation to telemedicine, but also from the perspective of the use and processing of the multiple modalities of medical images, where we find images made up of a single Image such as x-rays, images that are made up of a sequence of images such as tomography and Magnetic Resonance, or in video format as is the case with ultrasound and angiography. One way of working with images is through popular image servers that connect to medical equipment for transfer and storage. In the process of visualization and processing, special workstations with good computational capacity are required for these purposes, in most cases these workstations are connected in the network of medical offices, therefore they are presented in a normal working image display requests at the same time. The methodology presen...
4
objeto de conferencia
Publicado 2022
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ACM-2022: Algorithms Computing and Mathematics Conference, August 29 – 30, 2022, Chennai, India.
5
tesis de maestría
Publicado 2013
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Parallel parking, in general, is a moderate difficulty maneuver. Moreover, for inexperienced drivers, it can be a stressful situation that can lead to errors such as stay far from the sidewalk or damage another vehicle resulting in traffic tickets that range from simple parking violation to crash-related violations. In this work, we propose a computationally effective approach to perform a collisionfree parallel parking. The method will calculate the minimum parking space needed and then the efficient path for the parallel parking. This method is computationally inexpensive in comparison with the current state of the art. Moreover, it could be used by any car because the parameters needed to perform all computations are taken from the specifications of real cars. Preliminary results of this work were summarized in [1] that was presented at the 15th International IEEE Conference on Intell...
6
tesis de maestría
Publicado 2013
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Parallel parking, in general, is a moderate difficulty maneuver. Moreover, for inexperienced drivers, it can be a stressful situation that can lead to errors such as stay far from the sidewalk or damage another vehicle resulting in traffic tickets that range from simple parking violation to crash-related violations. In this work, we propose a computationally effective approach to perform a collisionfree parallel parking. The method will calculate the minimum parking space needed and then the efficient path for the parallel parking. This method is computationally inexpensive in comparison with the current state of the art. Moreover, it could be used by any car because the parameters needed to perform all computations are taken from the specifications of real cars. Preliminary results of this work were summarized in [1] that was presented at the 15th International IEEE Conference on Intell...
7
artículo
Publicado 2019
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In the development of projects where hardware and software components are included, electronic components such as sensors, actuators, control mechanisms, artificial vision equipment are used, these require a base platform to be inserted, most of these components require different mechanisms to be used, such as connectors and interfaces, which determines the implementation of a complex system made up of different technologies and communication protocols, added to this problem is the different energy requirements so the system ends up performing a high energy consumption, the proposal presented is the use of the NVIDIA Jetson TK1 development platform, which is equipped with many alternatives to connect a series of sensors and actuators, cameras and other devices, as well as a powerful processing unit graph GPU from where you can perform image processing ny video in the same platform, manag...
8
tesis de grado
Publicado 2024
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Las tecnologías emergentes posibilitan reenfocar las estrategias de comunicación e interacción con los clientes y usuarios con innovaciones importantes, tales como el uso de vídeos de 360 y la realidad virtual inmersiva (VR) en la promoción turística y hotelera. El objetivo de este trabajo es aprovechar estas tecnologías para optimizar la creación de experiencias en 360, a partir de una automatización de procesos enfocada en la clasificación de imágenes que compondrán dicha experiencia. En nuestra propuesta diseñamos una red neuronal convolucional (CNN), cuyas funciones esenciales son el proceso de extracción de características y el proceso de clasificación y salida de imágenes, debido a que serán utilizados para la composición de tours virtuales. La etapa de extracción de características, está compuesta por varias capas ocultas, como la capa de convolución, la fun...
9
tesis de grado
Publicado 2025
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Los neumáticos de los camiones, que son vulnerables al desgaste severo y a posibles daños en entornos hostiles, son un componente importante de la fiabilidad y seguridad de las operaciones mineras. Este estudio describe un sistema de monitorización no intrusivo en tiempo real que utiliza métodos de procesamiento digital de imágenes para identificar el desgaste y la corrosión de los neumáticos de los camiones mineros. Mientras el camión minero está en movimiento, el sistema captura continuamente imágenes de vídeo de la superficie a través de una cámara situada en el guardabarros del neumático. El método de procesamiento está diseñado para analizar estas fotos en tiempo real y clasificar los peligros potenciales, como rocas atascadas, clavos incrustados o desgaste extraño. Dado que el sistema puede identificar e informar rápidamente de estos problemas, se pueden tomar me...
10
artículo
Publicado 2014
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We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm for total variation (IRN-TV) algorithm. We compare the proposed method using synthetic videos versus a previous three-dimensional AM-FM based method and available motion estimation methods such as a phase-based, Horn-Schunck and the Lucas-Kanade methods. The results are promising producing a full density estimation with more accurate results than the other methods.
11
artículo
A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields.
12
tesis de grado
Publicado 2022
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El siguiente trabajo consiste en el diseño y producción de contenido para Shortcut, un canal multiplataforma de tutoriales de edición y animación digital, creado para difundir contenido técnico. Este incluye el diseño de la identidad visual de la marca y la producción del contenido, que comprende de videotutoriales para YouTube, gráficas para redes sociales y mini tutoriales para Reels y TikTok. El objetivo fue crear contenido de calidad, conciso y de corta duración, que pudiera brindar soluciones rápidas a problemas específicos. Finalmente, se presenta un apartado de las lecciones que fueron aprendidas en el transcurso de la implementación del proyecto.
13
tesis de grado
Publicado 2015
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El objetivo de la presente tesina es el estudio técnico para la Autoridad del Servicio Civil - Lima, orientado a diseñar un sistema de Videovigilancia IP, lo cual es una tecnología de vigilancia visual con las ventajas digitales de las redes de comunicación IP (Internet Protocol), lo cual permite la supervisión local y/o remota de imágenes y audio así como el tratamiento digital de las imágenes. Existe una gama muy amplia de cámaras con diferentes funcionalidades para satisfacer todas las necesidades y presupuestos. El objetivo es diseñar un sistema de Videovigilancia IP, el cual permita vigilar y controlar a todo el personal para así poder disminuir las pérdidas de los activos. 1. Diseñar un sistema de Videovigilancia IP para una supervisión continua de los datos enviados por la cámara IP. 2. Diseñar la red lógica y física de la Videovigilancia IP. 3. Propuesta de un p...
14
artículo
Morris water maze (MWM) test is widely used to evaluate the learning and memory deficits in rodents. Image processing and pattern recognition can be used to analyse videos and recognize automatically the tracking in MWM. There are several commercial and free access software that allows analyzing the behavioral tasks although they also have limitations such as automation, cost, user intervention among other things. The aim of this paper was to develop a new image processing technique to automatically analyse the track of the rat in the MWM, which we called RatsTrack. The MWM test was performed with an animal model for Alzheimer, and the videos were recorded to measure the distance, time, and speed. The segmentation method based on the projection of the video frames was made for pool identification, eliminating the rat, while conserving the shape of the pool. Then, the Hough transformation...
15
artículo
Publicado 2021
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For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such as text, speech, images, or videos. The multimedia content is then properly processed to recognize emotions/sentiments, for example, by analyzing faces and postures in images/videos based on machine learning techniques or by converting speech into text to perform emotion detection with natural language processing (NLP) techniques. Keeping this information in semantic repositories offers a wide range of possibilities for implementing smart applications. We propose a framework to allow social robots to detect emotions and to store this information in a semantic repository, based on EMONTO (an EMotion ONTOlogy), and in the first figure or table...
16
tesis de grado
Publicado 2021
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Tecno TV is a B2B company of the Latin American Video Unit (from now on Latam) of Telefon Corporation that provides data services for pay TV and satellite internet, content generation and advertising sales. The company does not provide service to the consumer user but to the direct customer that is Telefon, whether through Tecno TV it transmits the services requested to the end users, being Telefon the image of the quality of service provided by Tecno TV. According to the characteristics of the Tecno TV service, under contract with Telefon, it must maintain continuous operation in the event of any interruption or crisis and / or disaster situation. On August 19, 2015 at 10:40 p.m., an interruption event that affects the processes that support the services provided by Tecno TV originates. This generated an impact on the operational continuity of its services at the Latin American level. B...
17
artículo
Publicado 2012
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The equipment of DIA is composed by a refl ection microscope, a video camera 3CCD, a frame grabber and the analysis image software. All these elements are interrelated so that the scenes visualized in the microscope are captured by the video camera and digitized and stored in the computer, where, through the analysis image software they will be processed to obtain the necessary information. The methodology to be tested is the one developed by E. Berrezueta (2004), in the Laboratory of Applied Microscopy of the Superior School of Mines, Madrid, where the present work has been carried out. The above mentioned methodology describes the necessary steps to achieve the adjustment of the equipment of DIA, that is to say, to reach the necessary conditions of stability to obtain reliable and reproducible results. One of the above mentioned conditions are reached, the validity of the method will b...
18
objeto de conferencia
Publicado 2022
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FPGA-based hardware architectures are being used more frequently in many applications, thanks to the different programming languages that allow us to access them. The applications are also being varied, one of the most common areas of work with aerial images, normally acquired with cameras that are on board drones, the working mode of these configurations, is focused on being able to use visualize the images online As the flight is carried out, if you want to carry out some type of processing, it is necessary to download the image from the camera's memory, this process is already carried out when the drone has finished the flight. In this work we present a methodology to be able to use the low-cost hardware myRIO, since it has a processor and an FPGA included, we present the steps to be able to work with the device, as well as an example of online processing so that the video and images ...
19
tesis de maestría
Publicado 2018
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Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN) for object detection in the Imagenet Large Scale Visual Recognition Competition (ILSVRC), its use for image detection and classification has increased, becoming the state-of-the-art for such task, being Faster R-CNN the preferred model in the latest ILSVRC challenges. Moreover, the Faster R-CNN model, with minimum modifications, has been succesfully used to detect and classify objects (either static or dynamic) in video sequences; in such setup, the frames of the video are input “as is” i.e. without any pre-processing. In this thesis work we propose to use Robust PCA (RPCA, a.k.a. Principal...
20
tesis de maestría
Publicado 2018
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Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN) for object detection in the Imagenet Large Scale Visual Recognition Competition (ILSVRC), its use for image detection and classification has increased, becoming the state-of-the-art for such task, being Faster R-CNN the preferred model in the latest ILSVRC challenges. Moreover, the Faster R-CNN model, with minimum modifications, has been succesfully used to detect and classify objects (either static or dynamic) in video sequences; in such setup, the frames of the video are input “as is” i.e. without any pre-processing. In this thesis work we propose to use Robust PCA (RPCA, a.k.a. Principal...
