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

Dai, Xiaoyan

Couverture souple

ISBN 10 : 6208439558 ISBN 13 : 9786208439552

Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

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.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 6208439558
• ISBN 13: 9786208439552
• Reliure: Broché
• Nombre de pages: 68
• Coordonnées du fabricant: non disponible
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