International Journal For Multidisciplinary Research

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An OpenCV Tool for Data Logging by Face Recognition

Author(s) Manimala K
Country India
Abstract The human face contains various features and characteristics, which is not unique for two humans. Each human has different identity. Face recognition is an identification system that uses the characteristics of a person’s face to obtain the person's identity . The human face recognition process consists of two stages: face detection, here the camera detects that there is a face in front of it; this process is rapid in humans and the next is recognizing or identifying that face among a group of people. The recognition stage is mostly worked upon to develop models for facial recognitions. This paper presents a new method used to detect and recognize the face in real-time environment using Raspberry Pi and Python. The system uses a camera that will be able to detect the human face, auto counter and log into the system. A single portal is used for a human’s data Entry and Exit. These Entry and Exit functions are triggered by GUI. The information of the members are stored in a Spreadsheets are used in this paper. In this paper LBP histograms is used for face recognition and a modified algorithm of Haar’s Cascades is used for face detection..
Keywords Face Recognition, Local Binary Pattern Histograms, OpenCv Python, Haar’s Cascade, Raspberry Pi
Field Engineering
Published In Volume 3, Issue 1, January-February 2021
Published On 2021-01-29
Cite This An OpenCV Tool for Data Logging by Face Recognition - Manimala K - IJFMR Volume 3, Issue 1, January-February 2021. DOI 10.36948/ijfmr.2021.v03i01.2767
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