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Topics in Artificial Intelligence Applied to Industry 4.0
book

Topics in Artificial Intelligence Applied to Industry 4.0

by Mahmoud Ragab AL-Refaey, Amit Kumar Tyagi, Abdullah Saad AL-Malaise AL-Ghamdi, Swetta Kukreja
April 2024
Intermediate to advanced content levelIntermediate to advanced
320 pages
14h 53m
English
Wiley
Content preview from Topics in Artificial Intelligence Applied to Industry 4.0

15A Smarter Way to Collect and Store Data: AI and OCR Solutions for Industry 4.0 Systems

Ajay R. Nair1, Varun D. Tripathy1, R. Lalitha Priya1, Manigandan Kashimani1, Guru Akaash N. Janthalur1, Nusrat J. Ansari1, and Igor Jurcic2

1 Computer Science Department, Vivekanand Education Society's Institute of Technology, Mumbai, Maharashtra, India

2 Telecommunications and Informatics Department, HT ERONET, Mostar, Bosnia and Herzegovina

15.1 Introduction

Pattern recognition by machines has become increasingly important in many areas of our lives. From automated optical character recognition (OCR) to face recognition, text recognition, speech recognition, and more, the ability of machines to recognize patterns accurately and reliably has opened new possibilities in fields such as health care, finance, security, and entertainment. With advances in technology and machine learning algorithms, the accuracy and efficiency of pattern recognition systems have significantly improved over the years, making it possible for machines to perform tasks that were once thought to be the exclusive domain of humans.

OCR technology has enabled the conversion of scanned documents, images, and videos into editable and searchable digital formats. This has revolutionized the way we handle documents and has made it easier to store and retrieve information. OCR has also made it possible to extract text from handwritten documents, which was previously a tedious and time‐consuming task. With OCR, it is possible ...

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Publisher Resources

ISBN: 9781394216116Purchase Link