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Published Paper Details
Paper Title:
Transforming Homeland Security: A Comprehensive Examination of AI-Powered Optical Character Recognition Technology - Applications, Challenges, and the Path Forward for an AI-Enhanced Future
In an increasingly digitized world, advanced technologies play pivotal roles in securing national borders and maintaining homeland security. This article provides an in-depth examination of the role Artificial Intelligence (AI)-powered Optical Character Recognition (OCR) technology can play in enhancing homeland security measures. This innovative approach introduces promising avenues for efficient processing and interpreting vast amounts of unstructured data, such as text from passports, identity documents, surveillance data, and other vital security-related documents. AI-powered OCR exhibits a significant potential to enhance the speed, accuracy, and efficiency of data processing, which can augment real-time decision-making in critical scenarios. The research delves into the practical applications, potential benefits, and challenges of integrating AI-powered OCR in homeland security systems. Furthermore, the ethical and privacy concerns related to the widespread implementation of this technology are meticulously examined. The findings illustrate a paradigm shift in intelligence operations and indicate a promising future for AI-empowered security systems while advocating for comprehensive strategies to mitigate associated risks. It is hoped that this exploration will provide a foundation for further research and policy development on the responsible use of AI in the realm of homeland security.
Keywords:
OCR , AI , ML , Homeland security, AI-powered ocr
Cite Article:
"Transforming Homeland Security: A Comprehensive Examination of AI-Powered Optical Character Recognition Technology - Applications, Challenges, and the Path Forward for an AI-Enhanced Future", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1010 - 1015, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306150.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator