Railways are an integral means of public transport in India. Nearly 23.07 million people travel through trains daily in India. The major problems experienced by the passengers are undue waiting time at ticket counters for platform tickets and to board the train. Thus, a system is proposed with smart application using RFID tags and IoT to provide an agile and smooth ticketing experience. This system’s infrastructure replaces the frameworks of the queue based system and ATM ticketing system. In order to avoid the chaos of platform ticket buyers in ticket counters, this infrastructure provides a separate access by allocating a different pavement to buy the platform tickets. It maintains a manifest of DBMS for check in and checkout of platform ticket users. The RFID tags read the check in and checkout time by scanning tag and ticket fare is generated based on the timing the user has spent in the platform. This framework can be enabled with digital payments such as UPI, Gpay and EDC machine through the created app. In order to ensure, the safety this system is also supported with AI surveillance. Intelligence incorporated in the system identifies the unauthorized objects and fraudulent
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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 -Railways are an integral means of public transport in India. Nearly 23.07 million people travel through trains daily in India. The major problems experienced by the passengers are undue waiting time at ticket counters for platform tickets and to board the train. Thus, a system is proposed with smart application using RFID tags and IoT to provide an agile and smooth ticketing experience. This system's infrastructure replaces the frameworks of the queue based system and ATM ticketing system. In order to avoid the chaos of platform ticket buyers in ticket counters, this infrastructure provides a separate access by allocating a different pavement to buy the platform tickets. It maintains a manifest of DBMS for check in and checkout of platform ticket users. The RFID tags read the check in and checkout time by scanning tag and ticket fare is generated based on the timing the user has spent in the platform. This framework can be enabled with digital payments such as UPI, Gpay and EDC machine through the created app. In order to ensure, the safety this system is also supported with AI surveillance. Intelligence incorporated in the system identifies the unauthorized objects and fraudulent 92 pp. Englisch. N° de réf. du vendeur 9786202667838
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shanmugavelu SenthilraniDr. S. Senthilrani, completed Ph.D in the area Information and Communication Engineering from Anna University, Chennai, India during March 2017. She has 15 years of experience in teaching field. Currently, she. N° de réf. du vendeur 385948821
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Railways are an integral means of public transport in India. Nearly 23.07 million people travel through trains daily in India. The major problems experienced by the passengers are undue waiting time at ticket counters for platform tickets and to board the train. Thus, a system is proposed with smart application using RFID tags and IoT to provide an agile and smooth ticketing experience. This system's infrastructure replaces the frameworks of the queue based system and ATM ticketing system. In order to avoid the chaos of platform ticket buyers in ticket counters, this infrastructure provides a separate access by allocating a different pavement to buy the platform tickets. It maintains a manifest of DBMS for check in and checkout of platform ticket users. The RFID tags read the check in and checkout time by scanning tag and ticket fare is generated based on the timing the user has spent in the platform. This framework can be enabled with digital payments such as UPI, Gpay and EDC machine through the created app. In order to ensure, the safety this system is also supported with AI surveillance. Intelligence incorporated in the system identifies the unauthorized objects and fraudulentVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786202667838
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Railways are an integral means of public transport in India. Nearly 23.07 million people travel through trains daily in India. The major problems experienced by the passengers are undue waiting time at ticket counters for platform tickets and to board the train. Thus, a system is proposed with smart application using RFID tags and IoT to provide an agile and smooth ticketing experience. This system's infrastructure replaces the frameworks of the queue based system and ATM ticketing system. In order to avoid the chaos of platform ticket buyers in ticket counters, this infrastructure provides a separate access by allocating a different pavement to buy the platform tickets. It maintains a manifest of DBMS for check in and checkout of platform ticket users. The RFID tags read the check in and checkout time by scanning tag and ticket fare is generated based on the timing the user has spent in the platform. This framework can be enabled with digital payments such as UPI, Gpay and EDC machine through the created app. In order to ensure, the safety this system is also supported with AI surveillance. Intelligence incorporated in the system identifies the unauthorized objects and fraudulent. N° de réf. du vendeur 9786202667838
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Machine Learning Based Smart Railway Ticketing System | Senthilrani Shanmugavelu (u. a.) | Taschenbuch | 92 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202667838 | 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 118725752
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