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Deep Learning in POS Automation: Challenges, Innovations & Trends

By Xiaoyan Dai

Product Image: Deep Learning in POS Automation: Challenges, Innovations & Trends

Deep Learning in POS Automation: Challenges, Innovations & Trends

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
68
Release Date:
2025-04-08
Publication Date:
2025-04-08
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208439558
ISBN13:
9786208439552
GPSR Manufacturer Reference:
[email protected]
Weight:
119 g
Height:
150 cm
Width:
220 cm
Thickness:
5 cm
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