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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.
| Autorius: | Shalini Sahay, Navneet Kaur, Ramesh Jha, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 64 |
| ISBN-10: | 6206784126 |
| ISBN-13: | 9786206784128 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Design of LIDAR Based Train Safety Model for Railway“
