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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Object detection is an essential technology for surveillance systems, particularly in areas with a high risk of accidents such as unnamed railway crossings, and railway track maintenance location, etc. To prevent future accident, the system must detect the train passing through the area with high accuracy and this process must be performed fulfilling real-time applications. In this work, an edge of WSN (Wireless Sensor Network) is capable of informing the user about the incoming train from a distance of more than a km. The response of the system has to be calculated and sent from the proposed XBEE wireless protocol, so as to trigger a warning action to avoid a possible accident. The system uses a LIDAR sensor that provides an accurate detection capability of the train. The element used to process the information is a custom embedded edge platform with low computing resources and low-power consumption. 64 pp. Englisch. N° de réf. du vendeur 9786206784128
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Object detection is an essential technology for surveillance systems, particularly in areas with a high risk of accidents such as unnamed railway crossings, and railway track maintenance location, etc. To prevent future accident, the system must detect the . N° de réf. du vendeur 1151918076
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Object detection is an essential technology for surveillance systems, particularly in areas with a high risk of accidents such as unnamed railway crossings, and railway track maintenance location, etc. To prevent future accident, the system must detect the train passing through the area with high accuracy and this process must be performed fulfilling real-time applications. In this work, an edge of WSN (Wireless Sensor Network) is capable of informing the user about the incoming train from a distance of more than a km. The response of the system has to be calculated and sent from the proposed XBEE wireless protocol, so as to trigger a warning action to avoid a possible accident. The system uses a LIDAR sensor that provides an accurate detection capability of the train. The element used to process the information is a custom embedded edge platform with low computing resources and low-power consumption.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. N° de réf. du vendeur 9786206784128
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Object detection is an essential technology for surveillance systems, particularly in areas with a high risk of accidents such as unnamed railway crossings, and railway track maintenance location, etc. To prevent future accident, the system must detect the train passing through the area with high accuracy and this process must be performed fulfilling real-time applications. In this work, an edge of WSN (Wireless Sensor Network) is capable of informing the user about the incoming train from a distance of more than a km. The response of the system has to be calculated and sent from the proposed XBEE wireless protocol, so as to trigger a warning action to avoid a possible accident. The system uses a LIDAR sensor that provides an accurate detection capability of the train. The element used to process the information is a custom embedded edge platform with low computing resources and low-power consumption. N° de réf. du vendeur 9786206784128
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Design of LIDAR Based Train Safety Model for Railway | Shalini Sahay (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206784128 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 127786724
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