Facial Recognition For Criminal Identification

Main Article Content

Dr.G. Indumathi
Dr.K. Sujatha
Evans Jayson Thambi.S
Immanuel Jason.B
Mahadev Sankar

Abstract

Facial recognition technology holds the promise of transforming criminal identification processes by offering a highly effective tool for  law enforcement. Its capacity to quickly match individuals with mugshots or surveillance footage can significantly speed up investigations and potentially act as a deterrent to criminal activity. This technology can provide crucial support in solving cases and identifying suspects more efficiently. Facial recognition technology has the potential to revolutionize criminal identification by providing a powerful tool for  law  enforcement. Its ability to rapidly match suspects with mugshots or surveillance footage can expedite investigations and potentially deter crime. However, its implementation must be approached with caution to address challenges such  as  accuracy  limitations,   privacy   concerns, and ethical considerations. By carefully considering           the           benefits          and drawbacks, policymakers and law enforcement agencies can harness the power of facial recognition while safeguarding individual rights and privacy.

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How to Cite
Dr.G. Indumathi, Dr.K. Sujatha, Evans Jayson Thambi.S, Immanuel Jason.B, & Mahadev Sankar. (2024). Facial Recognition For Criminal Identification. Educational Administration: Theory and Practice, 30(1), 4132–4138. https://doi.org/10.53555/kuey.v30i1.7816
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Articles
Author Biographies

Dr.G. Indumathi

Assistant Professor, Department of CSE, SRMIST Ramapura 

Dr.K. Sujatha

Assistant Professor, Department of CSE, SRMIST, Ramapuram,

Evans Jayson Thambi.S

Department of Computer Science & Engineering, SRMIST

Immanuel Jason.B

Department of Computer Science & Engineering, SRMIST

Mahadev Sankar

Department of Computer Science & Engineering, SRMIST