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

  • Talib Rashid S
  • Saleem Jumaah N
  • Talib R
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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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APA

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

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