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.
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Dr. Shalini Sahay is working as Professor in Department of Electronics & Communications. She hasmore than 28 years of teaching experience. She has been awarded PhD. From R.G.P.V universityBhopal in 2021 on "Computer aided interpretation of Bioelectric Signals". She is Gold medalist inMtech. form Madhav Institute of Technology and Science.
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786206784128
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786206784128
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 127786724
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