Deep Learning in POS Automation: Challenges, Innovations & Trends : Exploring the Impact on Efficiency, Accuracy, and Future Developments

Language: English

Published by LAP LAMBERT Academic Publishing, 2025

6208439558 / 9786208439552

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning has revolutionized computer vision, driving automation in industries like retail. Artificial Intelligence (AI) powered object recognition is transforming Point-of-Sale (POS) automation, improving transaction speed, accuracy, and efficiency. However, challenges remain, such as barcode recognition in difficult conditions and optimizing AI models for real-time performance.This book explores how deep learning enhances POS automation, focusing on barcode recognition and discount sale identification. It covers the evolution of POS systems, AI's role in retail, and advanced barcode detection techniques, including deep learning models and synthetic-to-real data augmentation. The book also discusses AI-driven discount sale recognition, system design, and experimental results.Beyond technical solutions, the book addresses deployment challenges, such as hardware integration, balancing cloud and edge AI processing, and optimizing models for real-time use. It also looks at emerging trends like self-supervised learning, domain adaptation, and applications in logistics and automated warehouses.…

Seller Inventory # 9786208439552

Title
Deep Learning in POS Automation: Challenges, Innovations & Trends : Exploring the Impact on Efficiency, Accuracy, and Future Developments
Author
Xiaoyan Dai
Publisher
LAP LAMBERT Academic Publishing
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6208439558
ISBN 13
9786208439552
Item weight
119 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

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