Diseño y elaboración de un prototipo IOT, usando Machine Learning, para controlar aspectos de seguridad y salud ocupacional en la industria.
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Fecha
2022-09-28
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Universidad de Guayaquil. Facultad de Ingeniería Industrial. Carrera de Ingeniería en Teleinformática.
Resumen
Actualmente pequeños sectores industriales en Guayaquil carecen del uso de nuevas
tecnologías, aun cuando el mundo transita por la cuarta revolución industrial, que incluye la
inteligencia artificial y dentro de este campo se encuentra el machine learning, ambas
permiten optimizar tiempos en la resolución de tareas complejas a nivel de seguridad.
El presente proyecto de titulación tiene como finalidad introducir tecnologías de la
industria 4.0 y así realizar el diseño de un prototipo que permita garantizar seguridad
mediante el reconocimiento de imágenes en donde se requiere como hardware una cámara
Ip que se conecta a una Raspberry Pi, por otro lado, el software empleado será un editor de
código, lenguaje Python, librerías e imágenes.
Como resultado, se obtendrá una red neuronal entrenada para que el sistema logre
reconocer los equipos de protección individual dentro de un sector industrial determinado.
Se concluye que es importante que pequeñas industrias opten por el uso de este tipo de
tecnologías que brindan seguridad para evitar accidentes laborales causados por el factor
humano.
Currently small industrial sectors in Guayaquil lack the use of new technologies, even when the world is going through the fourth industrial revolution, which includes artificial intelligence and within this field appears machine learning, both allow optimization of resolution times of complex tasks at the security level. The purpose of this degree project is to introduce industry 4.0 technologies and thus carry out the design of a prototype that allows guaranteeing security through image recognition where an IP camera that connects to a Raspberry Pi is required as hardware, on the other hand, the software used will be a code editor, Python language, libraries and images. As a result, a trained neural network will be obtained so that the system can recognize individual protection equipment in a given industrial sector. To conclude, it is important that small industries opt for the use of this type of technology that provides security to avoid occupational accidents caused by the human factor.
Currently small industrial sectors in Guayaquil lack the use of new technologies, even when the world is going through the fourth industrial revolution, which includes artificial intelligence and within this field appears machine learning, both allow optimization of resolution times of complex tasks at the security level. The purpose of this degree project is to introduce industry 4.0 technologies and thus carry out the design of a prototype that allows guaranteeing security through image recognition where an IP camera that connects to a Raspberry Pi is required as hardware, on the other hand, the software used will be a code editor, Python language, libraries and images. As a result, a trained neural network will be obtained so that the system can recognize individual protection equipment in a given industrial sector. To conclude, it is important that small industries opt for the use of this type of technology that provides security to avoid occupational accidents caused by the human factor.
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TECNOLOGÍAS APLICADAS, INDUSTRIA 4.0, MACHINE LEARNING, RED NEURONAL, RASPBERRY PI