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Title: :  REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE
PaperId: :  22915
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22915
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
MOHAMMED THOUFEEK ABANNARI AMMAN INSTITUTE OF TECHNOLOGY
PAPITHA SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
AJAYKUMAR A SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
EZHIL RBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Information Technology
communication, disabled people, sign language, social interactions, artificial intelligence, law enforcement, CNN, LSTM, gestures.
Communication is the foundation upon which societies are built and relationships flourish. It breaks the barriers of language, culture, and distance, serving as the bedrock for understanding and connection. While spoken language is a primary mode of communication for many, the imperative for inclusive communication becomes profoundly evident when considering individuals who are deaf or hard of hearing. For this community, sign language emerges as a crucial and vibrant means of expression, breaking down barriers and of ering a pathway to understand disabled people’s feelings. Sign language is an expressive mode of communication that relies on visual-gestural elements to convey meaning. Deaf individuals use sign language not only for everyday conversations but also to participate in various aspects of life, including education, work, and social interactions. This project aims to enhance communication and accessibility in police investigations by implementing a real-time sign language interpretation system using artificial intelligence (AI). Deaf and hard-of-hearing individuals face significant challenges when interacting with law enforcement, as communication barriers may hinder ef ective understanding and cooperation. Using advanced artificial intelligence techniques, specifically Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTMs), the proposed system aims to enhance the ef iciency and ef ectiveness of law enforcement interactions with the deaf community. The integration of these neural network architectures allows for the recognition of a wide range of sign language expressions, ensuring adaptability to various signing styles and speeds. Real-time interpretation results are then provided, contributing to seamless communication and cooperation during police investigations.

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IJARIIE MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. "REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 1370-1374
MLA MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. "REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 1370-1374.
APA MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, & EZHIL R. (2024). REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 1370-1374.
Chicago MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. "REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 1370-1374.
Oxford MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. 'REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 1370-1374. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/REAL_TIME_SIGN_LANGUAGE_INTERPRETATION_IN_POLICE_INVESTIGATION_USING_ARTIFICIAL__INTELLIGENCE_ijariie22915.pdf (Accessed : 23 October 2024).
Harvard MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. (2024) 'REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 1370-1374IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/REAL_TIME_SIGN_LANGUAGE_INTERPRETATION_IN_POLICE_INVESTIGATION_USING_ARTIFICIAL__INTELLIGENCE_ijariie22915.pdf (Accessed : 23 October 2024)
IEEE MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R, "REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 1370-1374, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/REAL_TIME_SIGN_LANGUAGE_INTERPRETATION_IN_POLICE_INVESTIGATION_USING_ARTIFICIAL__INTELLIGENCE_ijariie22915.pdf [Accessed : 23 October 2024].
Turabian MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. "REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (23 October 2024).
Vancouver MOHAMMED THOUFEEK A, PAPITHA S, AJAYKUMAR A S, and EZHIL R. REAL-TIME SIGN LANGUAGE INTERPRETATION IN POLICE INVESTIGATION USING ARTIFICIAL INTELLIGENCE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 23 October 2024]; 10(2) : 1370-1374. Available from: https://ijariie.com/AdminUploadPdf/REAL_TIME_SIGN_LANGUAGE_INTERPRETATION_IN_POLICE_INVESTIGATION_USING_ARTIFICIAL__INTELLIGENCE_ijariie22915.pdf
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