Signs Unveiled: The Power and Promise of AI-Based Sign Recognition Systems
- Authors: Parul Dubey1, Priti Nilesh Bhagat2, Gousia Hazra Anjum3, Parvin Akhter4
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View Affiliations Hide Affiliations1 Symbiosis Institute of Technology Nagpur Campus, Symbiosis international (Deemed) University (Pune) Maharashtra, India 2 Department of CSE Schools of Engineering, GHRUA, Amravati, India 3 Department of Computer Science & Engineering, GEC, Raipur, India 4 Department of Electronics & Tele Communication, GEC, Raipur, India
- Source: AI in the Social and Business World: A Comprehensive Approach , pp 118-138
- Publication Date: October 2024
- Language: English
Signs Unveiled: The Power and Promise of AI-Based Sign Recognition Systems, Page 1 of 1
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Artificial intelligence (AI) has revolutionized the field of sign recognition, enabling machines to accurately interpret and respond to signs, symbols, and gestures. This chapter explores the dynamic landscape of AI-based sign recognition systems, unveiling their components, functionalities, applications, and advantages over traditional methods. By leveraging machine learning and computer vision, these systems offer remarkable accuracy, adaptability, and real-time responsiveness. Their impact extends across social and business domains, enhancing inclusivity for the hearing impaired, enabling cross-cultural communication, and transforming industries such as transportation and healthcare. Challenges and ethical considerations are also addressed. The future trajectory of AI-based sign recognition promises a world where machines seamlessly bridge the gap between human communication and technological innovation.
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