Deep Learning in POS Automation: Challenges, Innovations & Trends

Language: English

Published by Omniscriptum, LAP Lambert Academic Publishing, 2025

6208439558 / 9786208439552

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 68 pp. Englisch.

Seller Inventory # 9786208439552

Title
Deep Learning in POS Automation: Challenges, Innovations & Trends
Author
Xiaoyan Dai
Publisher
Omniscriptum, LAP Lambert Academic Publishing
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6208439558
ISBN 13
9786208439552
Dimensions
220x150x33 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First item£ 19.73£ 19.73
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BuchWeltWeit Ludwig Meier e.K.

Germany