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To effectively transport materials through different means of transport, it is essential to have an optimized warehouse logistics first. Thanks to the Industry 4.0 platform, there are several ways to accomplish the delivery of materials from a warehouse through transport by road, rail or air. This paper deals with a primary warehouse problem, which is the fast and accurate search and selection of required items in the stock. For this issue, the use of smart glass technology and its implementation in the logistic processes of warehouses could help. In a particular way, an IRS (Integrated Rescue System) warehouse was selected as an example. The augmented reality (AR) type of glasses was selected. The introductory part of this paper deals with the current situation in the warehouse and logistic processes, where the problem of lack of qualified staff and material supply is prevalent, particularly during different crisis situations, such as pandemics or high employee turnovers. The use of smart glasses is one of the many possible problem-solving variants in this field. Further, a basic description of smart glasses, possible uses and sorting are presented in this paper. For the experiment, it was necessary to choose several different commercially available models of smart glasses. An evaluation was provided by the Simple comparative method, Saaty's method and Linear partial utility function method and the best options were identified. Also, there is an example of smart glasses application for picking a particular component in an IRS warehouse in the last part of this paper.
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Content available Google Glass as industry 4.0 technology
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The rapid technical developments and the actual discussion about Industry 4.0 demonstrates the need for more effective and efficient technologies to be able to handle upcoming business demands. Those technologies have not just to cover data production, transmission, and integration, but especially increased heterogeneous handling requirements of potential user groups, e.g. employees on the shop floor. Such a technology might be smart data glasses and as an instanciation of this class Google’s product Glass. Especially top management representatives or managers still recognise a certain potential of the device. Based on developed applications, a simultaneous transmission of data is possible. The BMW Manufacturing Co. announced that it developed an app improving the quality especially of videos. This software allows a loop of two minutes (in the background) so that the appearance of errors or certain issues can better be identified without searching within a video. Besides, the data glasses synchronise itself with a smartphone so the data are available decentr.
PL
Szybkie postępy techniczne i faktyczna dyskusja na temat sektora 4.0 pokazują potrzebę bardziej efektywnych i wydajnych technologii, aby móc obsłużyć przyszłe wymagania biznesowe. Technologie te nie tylko obejmują produkcję, transmisję i integrację danych, lecz przede wszystkim zwiększone heterogeniczne wymagania dotyczące obsługi potencjalnych grup użytkowników. Taką technologią mogą być inteligentne okulary pozwalające na analizę danych, jak np. produkt Google Glass. Z analizy wynika, że najwyżsi przedstawiciele kierownictwa i menedżerowie rozpoznają potencjał urządzenia. Podczas wykorzystywania rozwiniętych aplikacji możliwy jest przy jego użyciu symultaniczny przesył danych. Firma BMW Manufacturing Co. ogłosiła, że opracowała aplikację poprawiającą jakość tego przesyłu, zwłaszcza w przypadku filmów wideo. To oprogramowanie umożliwia pętlę dwóch minut (w tle), dzięki czemu można lepiej zidentyfikować pojawienie się błędów lub niektórych problemów bez wyszukiwania w obrębie filmu wideo. Poza tym omawiane okulary synchronizują się ze smartfonem, dzięki czemu są na nim dostępne przetwarzane dane.
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Basic gesture sensors can play a significant role as input units in mobile smart devices. However, they have to handle a wide variety of gestures while preserving the advantages of basic sensors. In this paper a user-determined approach to the design of a sparse optical gesture sensor is proposed. The statistical research on a study group of individuals includes the measurement of user-related parameters like the speed of a performed swipe (dynamic gesture) and the morphology of fingers. The obtained results, as well as other a priori requirements for an optical gesture sensor were further used in the design process. Several properties were examined using simulations or experimental verification. It was shown that the designed optical gesture sensor provides accurate localization of fingers, and recognizes a set of static and dynamic hand gestures using a relatively low level of power consumption.
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Reliable, remote pulse rate measurement is potentially very important for medical diagnostics and screening. In this paper the Videoplethysmography was analyzed especially to verify the possible use of signals obtained for the YUV color model in order to estimate the pulse rate, to examine what is the best pulse estimation method for short video sequences and finally, to analyze how potential PPG-signals can be distinguished from other (e.g. background) signals. The presented methods were verified using data collected from 60 volunteers.
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