Assessing the Accuracy and Ethical Implications of Automated Criminal Detection Using a Deep Learning Approach-Reference-Cited by-同舟云学术

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Assessing the Accuracy and Ethical Implications of Automated Criminal Detection Using a Deep Learning Approach

Published:2023-11-01 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
language:
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Author:

S Jagadeesan¹,Sujigarasharma K.¹,R Manjula²,T Vetriselvi³

Affiliation:

1. Vellore Institute of Technology,School of Computer Science Engineering and Information Systems,Vellore,Tamil Nadu,India

2. SRM Institute of Science and Technology,School of Computing, Faculty of Engineering and Technology,Department of Computing Technologies,Chennai,India

3. Vellore Institute of Technology,School of Computer Science and Engineering,Department of IOT,Vellore,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369356.pdf?arnumber=10369356

Reference11 articles.

1. Automated Criminal Identification by Face Recognition using Open Computer Vision Classifiers

2. Face Detection and Face Re-identification System Using Deep Learning and OpenVINO

3. Eagle Eye;Fernando

4. Facial Recognition System using Decision Tree Algorithm

5. Criminal Identification System using Facial Recognition

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