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Enhancing Road Safety with Real Time Driver Drowsiness Detection
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
PAP
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786208448257
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EUR 47,90
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Expédition nationale : Etats-Unis
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Enhancing Road Safety with Real Time Driver Drowsiness Detection
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9786208448257
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EUR 49,91
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Enhancing Road Safety with Real Time Driver Drowsiness Detection
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
PAP
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9786208448257
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EUR 47,17
Expédition à EUR 3,83
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ENHANCING ROAD SAFETY WITH REAL TIME DRIVER DROWSINESS DETECTION
Edité par
Omniscriptum, LAP Lambert Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There has been greater concern about the driver's drowsiness on road safety. According to the survey of the National Highway Traffic Safety Administration (NHTSA) a greater percentage of fatalities, injuries and even deaths every year is because of drowsy driving. So, there is an immediate necessity to implement a system which detects the drowsiness of the driver and alerts the driver. These systems, which rely on visual behaviour analysis, hold the potential to significantly decrease accidents by providing timely alerts when drivers exhibit signs of drowsiness. These systems make use of cameras and computer vision algorithms, such as the Haar cascade classifier and CNN. These systems scrutinise facial features, eye movements, and other indicators to assess levels of alertness and identify signs of drowsiness. The cameras that are integrated continuously capture facial expressions, enabling the evaluation of eyelid closure for the Eye Aspect Ratio (EAR) and Mouth aspect ratio (MAR) across frames. If predefined thresholds for EAR values are surpassed, an alert system triggers, notifying both the driver and passengers. 84 pp. Englisch. N° de réf. du vendeur 9786208448257
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EUR 43,90
Expédition à EUR 23
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Expédition depuis Allemagne vers Etats-Unis
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Enhancing Road Safety with Real Time Driver Drowsiness Detection
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur 26405652567
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EUR 85,76
Expédition à EUR 3,45
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
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Enhancing Road Safety with Real Time Driver Drowsiness Detection
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur 408583048
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EUR 82,94
Expédition à EUR 7,58
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Expédition depuis Royaume-Uni vers Etats-Unis
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Image d'archives
Enhancing Road Safety with Real Time Driver Drowsiness Detection
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18405652573
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EUR 84,43
Expédition à EUR 9,95
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Expédition depuis Allemagne vers Etats-Unis
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Enhancing Road Safety with Real Time Driver Drowsiness Detection (Paperback)
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. There has been greater concern about the driver's drowsiness on road safety. According to the survey of the National Highway Traffic Safety Administration (NHTSA) a greater percentage of fatalities, injuries and even deaths every year is because of drowsy driving. So, there is an immediate necessity to implement a system which detects the drowsiness of the driver and alerts the driver. These systems, which rely on visual behaviour analysis, hold the potential to significantly decrease accidents by providing timely alerts when drivers exhibit signs of drowsiness. These systems make use of cameras and computer vision algorithms, such as the Haar cascade classifier and CNN. These systems scrutinise facial features, eye movements, and other indicators to assess levels of alertness and identify signs of drowsiness. The cameras that are integrated continuously capture facial expressions, enabling the evaluation of eyelid closure for the Eye Aspect Ratio (EAR) and Mouth aspect ratio (MAR) across frames. If predefined thresholds for EAR values are surpassed, an alert system triggers, notifying both the driver and passengers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786208448257
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EUR 51,61
Expédition à EUR 43,12
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ENHANCING ROAD SAFETY WITH REAL TIME DRIVER DROWSINESS DETECTION
Edité par
LAP LAMBERT Academic Publishing Okt 2025, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -There has been greater concern about the driver's drowsiness on road safety. According to the survey of the National Highway Traffic Safety Administration (NHTSA) a greater percentage of fatalities, injuries and even deaths every year is because of drowsy driving. So, there is an immediate necessity to implement a system which detects the drowsiness of the driver and alerts the driver. These systems, which rely on visual behaviour analysis, hold the potential to significantly decrease accidents by providing timely alerts when drivers exhibit signs of drowsiness. These systems make use of cameras and computer vision algorithms, such as the Haar cascade classifier and CNN. These systems scrutinise facial features, eye movements, and other indicators to assess levels of alertness and identify signs of drowsiness. The cameras that are integrated continuously capture facial expressions, enabling the evaluation of eyelid closure for the Eye Aspect Ratio (EAR) and Mouth aspect ratio (MAR) across frames. If predefined thresholds for EAR values are surpassed, an alert system triggers, notifying both the driver and passengers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9786208448257
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EUR 43,90
Expédition à EUR 60
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ENHANCING ROAD SAFETY WITH REAL TIME DRIVER DROWSINESS DETECTION : REAL TIME DRIVER DROWSINESS DETECTION USING MACHINE LEARNING TECHNIQUES
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6208448255
ISBN 13 : 9786208448257
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There has been greater concern about the driver's drowsiness on road safety. According to the survey of the National Highway Traffic Safety Administration (NHTSA) a greater percentage of fatalities, injuries and even deaths every year is because of drowsy driving. So, there is an immediate necessity to implement a system which detects the drowsiness of the driver and alerts the driver. These systems, which rely on visual behaviour analysis, hold the potential to significantly decrease accidents by providing timely alerts when drivers exhibit signs of drowsiness. These systems make use of cameras and computer vision algorithms, such as the Haar cascade classifier and CNN. These systems scrutinise facial features, eye movements, and other indicators to assess levels of alertness and identify signs of drowsiness. The cameras that are integrated continuously capture facial expressions, enabling the evaluation of eyelid closure for the Eye Aspect Ratio (EAR) and Mouth aspect ratio (MAR) across frames. If predefined thresholds for EAR values are surpassed, an alert system triggers, notifying both the driver and passengers. N° de réf. du vendeur 9786208448257
Acheter neuf
EUR 44,59
Expédition à EUR 60,72
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)