Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 8, 2026Open Access

An AI-Powered Facial Recognition System for Automated Student Identification and Attendance Management

View Full Paper
Ask AI
Bookmark
Share

Authors

HVHimani Sharma, Smriti Verma, Harsh Yadav and Sanjana Varyani

Discussion

Loading...

Member takes

Overview

New AI facial recognition system enhances attendance management in schools, suggesting improved efficiency.

Key Points

  • The study aims to introduce an AI-based system for effective student identification and tracking attendance in educational settings.
  • Utilized artificial intelligence and computer vision technologies to enhance identification.
  • Developed the system using programming languages like Python and OpenCV.
  • Implemented machine learning algorithms for facial recognition.
  • Conducted experiments to assess the system's efficiency and effectiveness.
  • The AI system can recognize student faces, significantly improving attendance processes.
  • Demonstrated improved efficiency compared to traditional methods like physical registers.
  • Experimental outcomes confirmed the system's effectiveness in real-world scenarios.

Cite This Study

Himani Sharma, Smriti Verma, Harsh Yadav and Sanjana Varyani (2026) studied this question.

synapsesocial.com/papers/69d5f13674eaea4b11a7ab7ahttps://doi.org/10.5281/zenodo.19439812
View Full Paper
Ask AI
Bookmark
Share