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@article{165190,
        author = {Anand and Mr. Vimal Awasthi and Ajay Kumar and Anshika Yadav and Harshit Tiwari },
        title = {Face Recognition Attendance System using Open CV},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {704-711},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165190},
        abstract = {Indeed, face recognition technology plays a crucial role in the contemporary digital era and has widespread applications across various industries. The unique characteristics of an individual's face serve as a crucial biometric for developing face recognition systems. One particular challenge often encountered is efficiently managing attendance tracking. Traditional methods involve verbally calling out students' names and manually recording their presence or absence, which can be time-consuming and labour-intensive. However, this proposed model incorporates a camera that captures an image, utilizes face detection techniques, encodes and recognizes faces, records attendance in a spreadsheet format, and converts it into PDF files. The project introduces an OpenCV-based facial recognition approach. Examining OpenCV Real-Time Face recognition also determines the system's usability and suitability for use in any institution with a facial recognition system. By converting the manual approach into a system, an issue in this epidemic era can be solved.},
        keywords = {Biometric, OpenCV Python, camera, face recognition},
        month = {},
        }