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

Shatha Talib Rashid, Noora Saleem Jumaah, Rana Talib
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引用次数: 0

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.
实时人脸识别增强城市执法服务
人脸识别被认为是监控和安全目标的关键组成部分,特别是对于被通缉的个人,使用实时识别算法。将提供树莓派面部识别,与传统的面部检测和识别方法,以演示如何基于图像的生物识别技术可以与树莓派一起使用。由于树莓派等纳米设备的可用性,像警察这样的执法机构可以配备隐蔽而安全的面部识别系统。提供的建议的结果可能是一个使用Raspberry Pi, OpenCV的工作系统。该文件利用这三个方面为系统奠定了基础,这些系统可以在各种进一步的场景中使用,例如与低成本机器相结合的人脸识别,以及改善智能城市执法服务的成本效益系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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