BLOCKCHAIN BASED FACE DETECTION AND RECOGNITION FOR CRIMINAL IDENTIFICATION SYSTEM

Authors

  • Dr. M. Ramakanth Reddy Author
  • Pasula Naresh Author
  • Boris Konsam Author
  • Ponnuru Mohith Author
  • Potti Harish Author

DOI:

https://doi.org/10.64751/ajmimc.2025.v4.n4.pp67-73

Abstract

The process of identifying and spotting a criminal is slow and difficult. Criminals, these days are getting smarter by not leaving any form of biological evidence or fingerprint impressions on the crime scene. A quick and easy solution is using state-of-the-art face identification systems. With the advancement in security technology, CCTV cameras are being installed at most of the buildings and traffic lights for surveillance purposes. The video footage from the camera can be used to identify suspects, criminals, runaways, missing persons etc. This paper explores away to develop a criminal identification system using ML and deep neural networks. The following method can be used as an elegant way to make law enforcement hassle-free.

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Published

2025-10-31

How to Cite

Dr. M. Ramakanth Reddy, Pasula Naresh, Boris Konsam, Ponnuru Mohith, & Potti Harish. (2025). BLOCKCHAIN BASED FACE DETECTION AND RECOGNITION FOR CRIMINAL IDENTIFICATION SYSTEM. American Journal of Management and IOT Medical Computing, 4(4), 67-73. https://doi.org/10.64751/ajmimc.2025.v4.n4.pp67-73