Intelligent Attendance and Database Integration Using Facial Recognition

Authors

  • Haroon ilyas University of Central Punjab

DOI:

https://doi.org/10.58932/MULL0006

Keywords:

Python, Image Processing, OpenCV, Face Detection, Face Recognition, Attendance

Abstract

Face recognition technology is used in practically every industry in the modern world. Face recognition? It’s everywhere now, and honestly, schools are jumping on that bandwagon too. Instead of wasting time with some teacher squinting at a list, calling out names like it’s 1995, this new system, let’s just call it the “Face Check Thing,” does all the hard work. You stroll into class, the camera grabs your mug, and boom, attendance sorted. No more barcode scanning, no more “Oops, I forgot my ID.” None of that. Here’s the deal: every student gets their face snapped during sign-up, and that pic sits in a database somewhere safe (well, as safe as you can hope in 2024). When class starts, the camera just scans the room, matches faces with the database, and logs who’s actually there. It’s all automatic, so teachers can finally stop playing secretary and start, you know, teaching. Plus, the system cranks out attendance reports for the class, for the whole school, whatever you need. So, schools save time, cut down on paperwork, and probably spend less on those cheap plastic ID cards nobody remembers to bring anyway. Streamlined, efficient, and just a little bit Big Brother, but hey, welcome to the future.

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Published

2026-06-30

How to Cite

Haroon ilyas. (2026). Intelligent Attendance and Database Integration Using Facial Recognition. Journal of Computing and Emerging Technologies, 1(1), 49–59. https://doi.org/10.58932/MULL0006

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Section

Articles