Smart Attendance System Using Fingerprint sensor



Introduction

  • The “Smart Attendance System using Raspberry Pi and Fingerprint Sensor” is a sophisticated solution designed to streamline and modernize attendance management. By leveraging the capabilities of Raspberry Pi and a Fingerprint Sensor, this system provides an efficient, secure, and user-friendly approach to attendance tracking.

Hardware Components

  • Raspberry Pi: The central computing unit and controller of the system.
  • Fingerprint Sensor: Utilizes advanced biometric technology for secure and accurate attendance authentication.
  • LCD Display: A user interface that shows real-time information, enhancing user interaction.
  • Buzzer: Provides audible confirmation of successful attendance registration.
  • Power Supply: Powers the Raspberry Pi and associated components.
  • Software Components

System Implementation

  • System Implementation
  • Fingerprint Authentication
  • The system employs the Fingerprint Sensor to capture and authenticate user fingerprints. This ensures a highly secure and accurate method of attendance tracking.
  • LCD Display and Buzzer
  • LCD Display: The LCD display provides a user-friendly interface, showing attendance-related information in real-time.
  • Buzzer: Upon successful fingerprint authentication, the buzzer emits a confirmation sound, providing immediate feedback to the user.
  • Excel Data Storage
  • Attendance data is systematically stored in an Excel file using the Openpyxl library. This allows for easy organization, retrieval, and analysis of attendance records.
  • Communication with Parents
  • After successful attendance registration, the system is programmed to send an automated message to parents, providing timely updates on their child’s attendance.

Project Code:

  • Download project code from below button.
  • If you want to understand code explanations then please watch YouTube video.

YouTube Video:

  • If you want to understand how to connect hardware with Raspberry Pi,
  • And Program explanation for this project,
  • And how to do this project by yourself then please watch our YouTube video.

YouTube Video Link Click Here


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