A Real-time Face Recognition for Enhanced Law-Enforcement Services in Cities

Enhanced Law-Enforcement Services in Cities

Authors

  • Shatha Talib Rashid Al-Bayan University, Iraq
  • Noora Saleem Jumaah Ministry of higher education & scientific research, Iraq
  • rana talib Al Salam University college

DOI:

https://doi.org/10.31185/wjps.10

Keywords:

Face recognition, Real-time, face detection

Abstract

Face recognition is regarded a critical component in the goal of monitoring and securing, particularly for wanted individuals, using a real time recognition algorithm. A Raspberry Pi facial identification will be supplied, with conventional face detection and recognition approaches, to demonstrate how image-based biometrics can be used with a Raspberry Pi. Agencies of law enforcement, like the police, could be outfitted by a covert and safe facial recognition system thanks to the availability of the nano-devices like the Raspberry Pi. The result of the provided suggestion might be a working system that uses Raspberry Pi, OpenCV. The document builds a foundation using such three aspects on systems that may be used in a variety of further scenarios, such as face recognition in combination with low-cost machinery, and cost-effective system for improving law-enforcement services in smart cities.

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Published

2022-07-01

Issue

Section

Computer

How to Cite

Talib Rashid, S., Saleem Jumaah, N., & talib, rana. (2022). A Real-time Face Recognition for Enhanced Law-Enforcement Services in Cities : Enhanced Law-Enforcement Services in Cities . Wasit Journal for Pure Sciences , 1(1), 1-7. https://doi.org/10.31185/wjps.10