smart attendance system that detects multiple faces

smart attendance

1. Smart Attendance System SUBMITTED BY- NOORBEGAUM HUSSAIN ARPITA MURGOD MANIKYA ANVEKAR VIDYA GUDAGANATTI PROJECT GUIDE- PROF. SAGAR BIRJE SURESH ANGADI EDUCATION FOUNDATION’S ANGADI INSTITUTE OF TECHNOLOGY AND MANAGEMENT Savagaon Road, BELAGAVI – 590 009. (Approved by AICTE, New Delhi &Affiliated to Visvesvaraya Technological University, Belagavi, Accredited by NAAC)

2. INTRODUCTION : Even today most of the education institutions use conventional methods for marking attendance that is manually. Some institutions have moved to biometric systems like fingerprint, RFID (radio frequency identification) to ease out their maintenance. The face detection model for attendance maintenance aims to identify and locate all the faces regardless of the position, scale, orientation, lighting conditions, expressions etc. To get better performance and accuracy this automated technique can be used at multiple intervals during a typical class hour.

3. PROBLEM STATEMENT : Traditional method of attendance recording has proven to be stressful and in-effective. As manual labor involved in this process is time consuming, an automated Attendance Management System based on face detection and face recognition techniques can make this task easier.

4. OBJECTIVES : 1. Reducing time wastage during conventional class attendance. 2. Utilizing latest trends to implement a feasible solution for class attendance system. 3. Automating the whole process so that we have digital environment. 4. Preventing fake roll calls. 5. Encouraging the use of technology in daily lives.

5. SYSTEM REQUIREMENTS: Hardware Requirements: Processor core : i5 core Processor speed : 2.11 GHz Hard disk :1TB RAM : 8GB Camera : Raspberry pi(5 Mp) Software Requirements: Software Tool :OpenCV Database : sqlite Operating system :Windows 7 or above Coding Language : Python

6. ARCHITECTURE DIAGRAM: STUDENT SCAN IMAGE FACE DETECTION FEATURE EXTRACTION REGISTRATION SYSTEM STUDENT ATTENDANCE RECORD ATTENDANCE FACE RECOGNITION ADD DETAILS STAFF LOGIN ADMIN LOGIN GENERATED REPORT DATABASE Student Attendance Report Attendance USN Stored Image Face Image Fig :1 Architecture Diagram

7. USE CASE DIAGRAM: LOGIN REGISTER ADD DEPARTMENT ADD CLASSES MODIFY DETAILS TAKE ATTENDANCE VIEW ATTENDANCE LOGOUT VALIDATE STUDENT ADMIN FACULTY Fig:2 Use Case Diagram

8. BLOCK DIAGRAM: IMAGE ACQUISITION IMAGE PROCESSING EXTRACTION OF FACIAL FEATURES COMPARING WITH DATABASE MARKING THE ATTENDANCE Fig:3.1 Block Diagram of Process

9. BLOCK DIAGRAM: POWER SUPPLY (5v) PI CAMERA MODULE DISPLAY MEMORY CARD RASPBERRY PI3 MODEL B SQLite DATABASE USER FACE Fig:3.2 Block Diagram of User and Hardware Interaction

10. ACTIVITY DIAGRAM: ADMIN LOGIN AUTHENTICATION ADD CLASS ADD DEPT ADD FACULTY MODIFY DEPT DETAILS ADD STUDENT VIEW REPORT MODIFY FACULTY DETAILS MODIFY CLASS DETAILS MODIFY STUDENT DETAILS LOGOUT -Student Report -Staff Report -Attendance Valid Invalid Fig:4 Activity Diagram of Admin

11. ACTIVITY DIAGRAM: LOGIN AUTHENTICATION TAKE ATTENDANCE VIEW ATTENDANCE GENERATE REPORT LOGOUT Valid Invalid Fig:4.1 Activity Diagram of Faculty VIEW STUDENTS

12. ACTIVITY DIAGRAM: LOGIN AUTHENTICATION VIEW ATTENDANCE MODIFY DETAILS LOGOUT Valid Invalid Fig:4.2 Activity Diagram of Student

13. SEQUENCE DIAGRAM: :FACULTY :CAPTURING MODULE :PROCESSING MODULE :COMAPRISON MODULE DATABASE Student face registration Faculty initiates the capturing module Students captured Captured image sent to processing module Processed image to comparison module Processed image to comparison module Captured image Check if students exist Fill up the attendance Compare the image Fig:5 Sequence Diagram L og In L og Out :STUDENT Students captured L og In L og Out

14. DATAFLOW DIAGRAM: ATTENDANCE PORTAL ADMIN STUDENT STAFF Login Login Login Response Response Response Fig:6.0 DFD Level 0

15. LOGIN 1.0 ADD CLASS 1 .2 ADD DEPT 1 .3 ADD FACULTY 1 .4 ADD STUDENT 1.5 VIEW REPORT 1.6 ADMIN Classes Departments Teachers Students Attendance Admin Username/password Validation Valid/Invalid Valid/Invalid Dept_id/sem_id/div_id Insert subjects Display class/subject Response Insert department Add department Reply Response Insert faculty Allocate class Reply Response Subject/class Student details Display student Display student Student detail Attendance Report Report Fig:6.1.1 DFD for Admin Level 1

16. LOGIN 1.1 DISPLAY STUDENTS 1.2 TAKE ATTENDANCE 1.3 VIEW ATTENDANCE 1.4 FACULTY Students Attendance Teachers Faculty id/password Validation Valid/Invalid Valid/Invalid Students Reply Response Process image Compare with database Mark attendance Add attendance Student detail Attendance Display attendance Display students Display attendance Fig:6.1.2 DFD for Faculty Level 1

17. LOGIN 1.1 P ROFILE 1.2 ATTENDANCE 1.3 STUDENT Attendance Students USN/password Validation Valid/Invalid Valid/Invalid Display student detail Reply Response Attendance View overall and subject wise attendance graph and display percentage Reply Response Edit detail Fig:6.1.3 DFD for Student Level 1

18. ADMIN AUTHENTICATION PROCESS 2.1 Username/password ADMIN ADD CLASSES 2.2 ADD SUBJECTS 2.3 Dept_id/sem_id/div_id Subject Subjects Sem wise subject Success report Success report Classes Fig:6.2.1 DFD for Admin Level 2

19. FACULTY AUTHENTICATION PROCESS 2.1 Faculty id/password FACULTY VIEW STUDENT 2.2 Student Students Display student Reply Response Fig:6.2.2 DFD for Faculty Level 2

20. STUDENT DASHBOARD 2.2 EDIT PROFILE 2.3 Login success Students Edit details Response Response Reply Edit details STUDENT AUTHENTICATION PROCESS 2.1 USN/password Fig:6.2.3 DFD for Student Level 2

21. Fig: 8.2 Login Fig :8.1 Registration Page SNAPSHOT

22. Fig:8.3 Student Profile Fig: 8.4 Student Attendance Report

23. Fig: 8.5 Classes

24. Fig: 8.7 Add Students Fig: 8.6 Add Faculty

25. Fig:8.9 Add Classes Fig: 8.8 Add Departments

26. CONCLUSION : Smart Attendance system is designed to minimize the human effort for taking the attendance manually that take place in every college. As the attendance marking process is done without any human interference, which is the main scope in the system. Further work is to improve the design of project and implement the hardware part.

27. Thank You