Ingenious AI Visual Identification

  • Kanwal Jot Singh B. Tech-Cse-General Uttarpradesh, India.

Abstract

In our project, Ingenious AI Visual Identification using Facial recognition we’re primarily focused on stating the remaining platform for attendance, in which a person can first provide their required non-public information and be enrolled for Automatic Attendance via our Software. As a result, we want to make this system software well-suited for any organization on the route to replacing the old and out-of-date attendance-taking system with our new output. We’re essentially specialized in citing the remaining platform for attendance wherein a man or woman can begin to feed with their required non-public facts and get them enrolled for the Automatic Attendance via our Software. Through this, we have the desire to make this software program well matched for each and every Organization on the way to update the vintage and outdated attendance taking process with our new output

References

1. https://www.researchgate.net/publicationn/325819350_Computer_Science_and_ Management_
Studies_Development_of_ a_Student_Attendance_ Management_S ystem_Using_RFID_and_Face_Recogni
tion_A_Review.
2. https://developer.mozilla.org/en-US/.
3. https://pypi.org/project/face- recognition/.
Published
2023-08-08
How to Cite
JOT SINGH, Kanwal. Ingenious AI Visual Identification. Journal of Advanced Research in Image Processing and Applications, [S.l.], v. 6, n. 1, p. 4-8, aug. 2023. Available at: <http://thejournalshouse.com/index.php/image-pocessing-applications/article/view/779>. Date accessed: 22 dec. 2024.