992 resultados para Industrial security


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Mode of access: Internet.

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En el trabajo se realizó un acercamiento, lo más exhaustivo posible, del comportamiento del sector estratégico de dotación y seguridad industrial. Para dicha aproximación se elaboraron pruebas de tipo cuantitativo y cualitativo con el fin de determinar el nivel de imitación dentro del mismo evaluando las fuerzas del mercado que impactan al sector bajo el modelo de Porter. Adicionalmente se realizó un análisis estructural abordado desde la herramienta MICMAC para describir al sistema y visualizar las relaciones existentes entre los elementos claves logrando una representación de la dinámica entre la empresa Más Dotaciones Ltda., y su contexto estratégico.

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El proyecto JVS está enfocado al sector de la seguridad industrial, específicamente en el desarrollo, producción y comercialización de Equipos de Protección Personal como Chaqueta, pantalón y capucha, con unos elementos innovadores sumamente interesantes como lo es prendas cosidas y selladas a mano, sin utilizar termo selladores como es comúnmente visto, y asignación de tallas adecuadas para el usuario, enfocados al rendimiento del usuario y su comodidad protegiéndolo al 100%, facilitando las diversas labores que realiza.

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This work presents a method of information fusion involving data captured by both a standard CCD camera and a ToF camera to be used in the detection of the proximity between a manipulator robot and a human. Both cameras are assumed to be located above the work area of an industrial robot. The fusion of colour images and time of light information makes it possible to know the 3D localization of objects with respect to a world coordinate system. At the same time this allows to know their colour information. Considering that ToF information given by the range camera contains innacuracies including distance error, border error, and pixel saturation, some corrections over the ToF information are proposed and developed to improve the results. The proposed fusion method uses the calibration parameters of both cameras to reproject 3D ToF points, expressed in a common coordinate system for both cameras and a robot arm, in 2D colour images. In addition to this, using the 3D information, the motion detection in a robot industrial environment is achieved, and the fusion of information is applied to the foreground objects previously detected. This combination of information results in a matrix that links colour and 3D information, giving the possibility of characterising the object by its colour in addition to its 3D localization. Further development of these methods will make it possible to identify objects and their position in the real world, and to use this information to prevent possible collisions between the robot and such objects.

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This work presents a method of information fusion involving data captured by both a standard charge-coupled device (CCD) camera and a time-of-flight (ToF) camera to be used in the detection of the proximity between a manipulator robot and a human. Both cameras are assumed to be located above the work area of an industrial robot. The fusion of colour images and time-of-flight information makes it possible to know the 3D localization of objects with respect to a world coordinate system. At the same time, this allows to know their colour information. Considering that ToF information given by the range camera contains innacuracies including distance error, border error, and pixel saturation, some corrections over the ToF information are proposed and developed to improve the results. The proposed fusion method uses the calibration parameters of both cameras to reproject 3D ToF points, expressed in a common coordinate system for both cameras and a robot arm, in 2D colour images. In addition to this, using the 3D information, the motion detection in a robot industrial environment is achieved, and the fusion of information is applied to the foreground objects previously detected. This combination of information results in a matrix that links colour and 3D information, giving the possibility of characterising the object by its colour in addition to its 3D localisation. Further development of these methods will make it possible to identify objects and their position in the real world and to use this information to prevent possible collisions between the robot and such objects.

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Mode of access: Internet.

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Mode of access: Internet.