BLOCKCHAIN AND MACHINE LEARNING-BASED REAL TIME ATTENDANCE MONITORING SYSTEM

Authors

  • B AJITH KUMAR Author
  • MERAVALA DIVYA Author
  • T ANIL KUMAR3 Author
  • TATIREDDY RAVI Author

Keywords:

Terms—authentication, automation, blockchain, face recognition, OpenCV

Abstract

In the period of validation, facial recognition 
innovation is utilized in numerous areas. Image 
processing headways like OpenCV have expanded 
society's reliance on facial acknowledgment as the 
data age requests quick and safe confirmation. This 
study presents a blockchain-got Participation 
Checking Framework involving OpenCV for facial 
recognition. This innovation smoothes out 
participation and lifts security. Using OpenCV to 
assess live camera feeds will recognize understudy 
faces and consequently produce participation 
records with entrance timings. Critically, blockchain 
gets and seals participation information. This 
extraordinary innovation further develops 
productivity and guarantees participation record 
honesty and openness over the dispersed blockchain 
network.[32]

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Published

06-09-2024

How to Cite

BLOCKCHAIN AND MACHINE LEARNING-BASED REAL TIME ATTENDANCE MONITORING SYSTEM . (2024). International Journal of Mechanical Engineering Research and Technology , 16(9), 142-150. https://ijmert.com/index.php/ijmert/article/view/241