Using Artificial Intelligence techniques to track unauthorized access: A case study for building a face recognition application - Brossura
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In the last two decades there has been seen a great improvement in the field of AI especially in the area of facial recognition systems. This book has the main purpose of analyzing the specialized literature to identify the most relevant research(1) and to building an intelligent facial recognition software(2) that can efficiently detect the face of a person from a picture and validate if that person exists in a given database for the purpose of authorizing its access. The obtained software brings contributions to the real world for a variety of sectors, including the financial one, by supporting organizations to consolidate its access control by proposing an affordable, reliable, efficient, and more secure way of authorizing its employee's access in buildings and rooms with limited access. The manuscript proves that the capabilities of facial recognition systems are almost unlimited, and its potential is truly great.
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Using Artificial Intelligence techniques to track unauthorized access: A case study for building a face recognition application
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Condizione: New. Codice articolo 26404375114
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Using Artificial Intelligence techniques to track unauthorized access: A case study for building a face recognition application
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Using Artificial Intelligence techniques to track unauthorized access
Editore:
LAP LAMBERT Academic Publishing Sep 2022, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the last two decades there has been seen a great improvement in the field of AI especially in the area of facial recognition systems. This book has the main purpose of analyzing the specialized literature to identify the most relevant research(1) and to building an intelligent facial recognition software(2) that can efficiently detect the face of a person from a picture and validate if that person exists in a given database for the purpose of authorizing its access. The obtained software brings contributions to the real world for a variety of sectors, including the financial one, by supporting organizations to consolidate its access control by proposing an affordable, reliable, efficient, and more secure way of authorizing its employee's access in buildings and rooms with limited access. The manuscript proves that the capabilities of facial recognition systems are almost unlimited, and its potential is truly great. 72 pp. Englisch. Codice articolo 9786205499917
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Using Artificial Intelligence techniques to track unauthorized access: A case study for building a face recognition application
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18404375104
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Using Artificial Intelligence techniques to track unauthorized access
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Husac GeorgeGeorge Husac is a graduate of Software Development and Management Information System Master program interested in the Artificial Intelligence applications for the Business sector.Vasile Daniel Pavaloaia holds a PhD and he. Codice articolo 724024549
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Using Artificial Intelligence techniques to track unauthorized access
Editore:
LAP LAMBERT Academic Publishing Sep 2022, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Codice articolo 9786205499917
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Using Artificial Intelligence techniques to track unauthorized access : A case study for building a face recognition application
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the last two decades there has been seen a great improvement in the field of AI especially in the area of facial recognition systems. This book has the main purpose of analyzing the specialized literature to identify the most relevant research(1) and to building an intelligent facial recognition software(2) that can efficiently detect the face of a person from a picture and validate if that person exists in a given database for the purpose of authorizing its access. The obtained software brings contributions to the real world for a variety of sectors, including the financial one, by supporting organizations to consolidate its access control by proposing an affordable, reliable, efficient, and more secure way of authorizing its employee's access in buildings and rooms with limited access. The manuscript proves that the capabilities of facial recognition systems are almost unlimited, and its potential is truly great. Codice articolo 9786205499917
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Using Artificial Intelligence techniques to track unauthorized access | A case study for building a face recognition application
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205499916
ISBN 13: 9786205499917
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Using Artificial Intelligence techniques to track unauthorized access | A case study for building a face recognition application | George Husac (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205499917 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 125323724
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