9786205491348 - auto-attend: automated attendance system using facial recognition de jauhari, mani bhushan; thareja, metali; kumar, atul (8 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Auto-Attend | Automated Attendance System using Facial Recognition | Mani Bhushan Jauhari (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205491348 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[d…ot]de | Anbieter: preigu.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automated Attendance system uses face biostatics accompanied by the techniques of image processing and machine learning algorithms to recognize students. Face recognition technology complementary to Image Processing is gradually evo…lving to a universal biometric solution since it does not require any virtual effort from the user as compared to other biometric options. The main objective is to develop a real-time attendance monitoring system that overcomes the shortcomings of existing methods. The approaches vary in terms of input methods used, type of data processing employed and the controllers used in the implementation of the systems. The Proposed System is provided with snaps on which face detection and recognition technique is applied. After faces are detected, they are recognized by matching them with existing database, system updates the attendance for all recognized members with their respective id. An excel sheet is generated for the attendance record. 96 pp. Englisch.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jauhari Mani BhushanEr. Mani Bhushan Jauhari, Er. Metali Thareja are the graduates of Shri Ramswaroop Memorial College of Engineering and Management Lucknow. They have completed their Bachelor of Techno…logy in Computer Science and En.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Automated Attendance system uses face biostatics accompanied by the techniques of image processing and machine learning algorithms to recognize students. Face recognition technology complementary to Image Processing is gradually evolvin…g to a universal biometric solution since it does not require any virtual effort from the user as compared to other biometric options. The main objective is to develop a real-time attendance monitoring system that overcomes the shortcomings of existing methods. The approaches vary in terms of input methods used, type of data processing employed and the controllers used in the implementation of the systems. The Proposed System is provided with snaps on which face detection and recognition technique is applied. After faces are detected, they are recognized by matching them with existing database, system updates the attendance for all recognized members with their respective id. An excel sheet is generated for the attendance record.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automated Attendance system uses face biostatics accompanied by the techniques of image processing and machine learning algorithms to recognize students. Face recognition technology complementary to Image Processing is gradually evolving… to a universal biometric solution since it does not require any virtual effort from the user as compared to other biometric options. The main objective is to develop a real-time attendance monitoring system that overcomes the shortcomings of existing methods. The approaches vary in terms of input methods used, type of data processing employed and the controllers used in the implementation of the systems. The Proposed System is provided with snaps on which face detection and recognition technique is applied. After faces are detected, they are recognized by matching them with existing database, system updates the attendance for all recognized members with their respective id. An excel sheet is generated for the attendance record.
