Face Recognition System Based on Raspberry Pi Platform

2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) Pub Date : 2019-05-01 DOI:10.1109/ICASERT.2019.8934485

Nafis Mustakim, Noushad Hossain, Mohammad Mustafizur Rahman, Nadimul Islam, Zayed Hossain Sayem, Md. Asaduz Zaman Mamun

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引用次数: 13

Abstract

Human face recognition plays an important role in video surveillance, human-computer interface, personalizing different applications. In this paper, we present an approach to detect and identify a human face from the real-time video that tracks a face and compares it with stored data of known individuals. Our approach recognizes an individual within a fraction of a second which completely ignores any background effect. It also shows additional information about that individual. Besides, this method also works on different lighting conditions which make it suitable to execute its purpose in a wide variety of environment without encountering any significant error. We have implemented our work using a Raspberry Pi. And this approach utilizes the benefits offered by different python libraries like OpenCV and numPy. SQLite database management system is used as the backbone of its memory. Through its faster and authentic performance, this system is worthy enough to be integrated with any applications to boost up automation and user-friendliness.

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基于树莓派平台的人脸识别系统

人脸识别在视频监控、人机界面、个性化等不同应用中发挥着重要作用。在本文中，我们提出了一种从实时视频中检测和识别人脸的方法，该方法可以跟踪人脸并将其与已知个体的存储数据进行比较。我们的方法可以在几分之一秒内识别出一个人，完全忽略任何背景影响。它还显示了有关该个人的其他信息。此外，该方法也适用于不同的照明条件，使其适合在各种环境中执行其目的，而不会遇到任何重大误差。我们已经使用树莓派实现了我们的工作。这种方法利用了不同python库(如OpenCV和numPy)提供的优势。使用SQLite数据库作为其内存管理系统的骨干。通过其更快和真实的性能，该系统值得与任何应用程序集成，以提高自动化和用户友好性。

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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来源期刊

2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

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