9786209641237 - ai powered attendance system par t, srinivasan; k, yokesvaran (8 résultats)
- Couverture souple
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 48,97
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 53,82
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
- Couverture souple
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 53,11
EUR 3,85 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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- impression à la demande
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 48,96
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. This project presents an AI-based attendance management system developed to modernize and simplify conventional attendance practices through automated, contactless facial recognition. The system uses a Raspberry Pi 4 integrated with a webcam to identify individuals by applying computer vision an…d machine learning techniques, ensuring reliable and efficient attendance capture.A robust backend developed using Node.js, Express, and Socket.IO enables real-time data synchronization, secure record management, and instant notifications for users and administrators. When an absence is identified, the system requests the individual to submit a reason via a user-friendly web interface, ensuring accountability and transparent documentation. Real-time alerts are generated to inform administrators of irregular or unexpected absences, enabling prompt and effective action.The system also provides detailed analytics and reporting features to analyze attendance patterns and trends. By minimizing manual intervention and reducing human errors, this solution delivers a scalable, intelligent, and data-driven alternative to traditional attendance systems, making it well suited for educational. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue : anglais
Edité par Omniscriptum, LAP Lambert Academic Publishing, 2026
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 43,90
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This project presents an AI-based attendance management system developed to modernize and simplify conventional attendance practices through automated, contactless facial recognition. The system uses a Raspberry Pi 4 integrated with a w…ebcam to identify individuals by applying computer vision and machine learning techniques, ensuring reliable and efficient attendance capture.A robust backend developed using Node.js, Express, and Socket.IO enables real-time data synchronization, secure record management, and instant notifications for users and administrators. When an absence is identified, the system requests the individual to submit a reason via a user-friendly web interface, ensuring accountability and transparent documentation. Real-time alerts are generated to inform administrators of irregular or unexpected absences, enabling prompt and effective action.The system also provides detailed analytics and reporting features to analyze attendance patterns and trends. By minimizing manual intervention and reducing human errors, this solution delivers a scalable, intelligent, and data-driven alternative to traditional attendance systems, making it well suited for educational. 52 pp. Englisch.
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Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 57,82
EUR 43,28 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. This project presents an AI-based attendance management system developed to modernize and simplify conventional attendance practices through automated, contactless facial recognition. The system uses a Raspberry Pi 4 integrated with a webcam to identify individuals by applying computer vision an…d machine learning techniques, ensuring reliable and efficient attendance capture.A robust backend developed using Node.js, Express, and Socket.IO enables real-time data synchronization, secure record management, and instant notifications for users and administrators. When an absence is identified, the system requests the individual to submit a reason via a user-friendly web interface, ensuring accountability and transparent documentation. Real-time alerts are generated to inform administrators of irregular or unexpected absences, enabling prompt and effective action.The system also provides detailed analytics and reporting features to analyze attendance patterns and trends. By minimizing manual intervention and reducing human errors, this solution delivers a scalable, intelligent, and data-driven alternative to traditional attendance systems, making it well suited for educational. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Couverture souple
- impression à la demande
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 43,90
EUR 60,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This project presents an AI-based attendance management system developed to modernize and simplify conventional attendance practices through automated, contactless facial recognition. The system uses a Raspberry Pi 4 integrated with a webca…m to identify individuals by applying computer vision and machine learning techniques, ensuring reliable and efficient attendance capture.A robust backend developed using Node.js, Express, and Socket.IO enables real-time data synchronization, secure record management, and instant notifications for users and administrators. When an absence is identified, the system requests the individual to submit a reason via a user-friendly web interface, ensuring accountability and transparent documentation. Real-time alerts are generated to inform administrators of irregular or unexpected absences, enabling prompt and effective action.The system also provides detailed analytics and reporting features to analyze attendance patterns and trends. By minimizing manual intervention and reducing human errors, this solution delivers a scalable, intelligent, and data-driven alternative to traditional attendance systems, making it well suited for educational.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
- Couverture souple
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 44,59
EUR 60,48 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This project presents an AI-based attendance management system developed to modernize and simplify conventional attendance practices through automated, contactless facial recognition. The system uses a Raspberry Pi 4 integrated with a webcam… to identify individuals by applying computer vision and machine learning techniques, ensuring reliable and efficient attendance capture.A robust backend developed using Node.js, Express, and Socket.IO enables real-time data synchronization, secure record management, and instant notifications for users and administrators. When an absence is identified, the system requests the individual to submit a reason via a user-friendly web interface, ensuring accountability and transparent documentation. Real-time alerts are generated to inform administrators of irregular or unexpected absences, enabling prompt and effective action.The system also provides detailed analytics and reporting features to analyze attendance patterns and trends. By minimizing manual intervention and reducing human errors, this solution delivers a scalable, intelligent, and data-driven alternative to traditional attendance systems, making it well suited for educational.
