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@article{151880,
        author = {Umang Garg and Vaibhav Chauhan and Varun Shukla},
        title = {Smart Attendance System using Face Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {1300-1304},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151880},
        abstract = {Keeping track of attendance at daily activities is a difficult task. The conventional method of appeal Each student's name takes time and there is always the possibility that a
representative will attend. The following system is based
on facial recognition to track student attendance. The daily attendance  of  pupils  is  recorded  by  subject.  which  is already stored by the administrator. As  the time of  the corresponding subject arrives, the system will automatically start to take snapshots, then apply the face detection and recognition technique to the given image and recognize that the students are marked as present and their presence updated with the corresponding time and subject identification.
We used deep learning techniques to develop this system, the histogram of the oriented gradient method is used to detect faces in images and in-depth the learning method is used to calculate and compare the facial features of students to recognize them. Our system is capable of identifying multiple faces in real-time.
},
        keywords = {Inter-Personal Communication},
        month = {},
        }