Attendance System Using Face Recognition Using Raspberry Pi 

Project Code :TEMBMA3326

Objective

The main objective of this project is to recognize face for Attendance monitoring using Raspberry Pi

Abstract

Education institutes today are concerned about the consistency of students ' performance. One cause of this decrease in student performance is the inadequate attendance. There are several ways to mark your attendance, the most common ways to sign or call the students. It took longer and was problematic. From now on, a computer-based student attendance checking system is required that supports the faculty to keep records of attendance. We have used an intelligent attendance system based on face recognition in this project. We have proposed to implement a "Smart Attendance System for Face Recognition" through these large applications are incorporated. The present implementation includes facial identification that is time saving and eradicates the possibilities of proxy attendance due to the facial authorization. This project deals with face detection for an attendance recorder system for the purpose of maintaining attendance details of the students. Students’ faces are pre stored in class databases. USB camera capture the student face and compared to database image if it is matched means that student is present will be sent to PhP Web Server and takes attendance

Keywords: Face Recognition, Raspberry Pi, Camera, Attendance

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements

  • Raspberry Pi
  • Web camera

Software Requirements

  • Python IDLE
  • NOOBS Software
  • Raspbian OS

Learning Outcomes

  • Raspberry pi pin diagram and architecture
  • How to install NOOBS software
  • Setting up and installation procedure for Raspberry Pi
  • How to connect Raspberry Pi through VNC viewer
  • Introduction to Python3 IDE
  • Commands in Python
  • Basic coding in Python
  • Working on web camera
  • How to interface web camera with Raspberry Pi?
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)
    • Schematic preparation 
    • Code development and debugging
    • Hardware development and debugging
    • Development of the Project and Output testing
  • Practical exposure to:
    • Hardware and software tools.
    • Solution providing for real time problems.
    • Working with team/ individual.
    • Work on Creative ideas.
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

Demo Video

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