Smart, Multiple Attendance System through Single Image

Project Title

Smart, Multiple Attendance System through Single Image

Project Area of Specialization Internet of ThingsProject Summary Actual Title: Smart, Multiple Attendance System through Single Image Summary

Class attendance is an arduous but mandatory job. The conventional methods of marking attendance like, calling names and signing your name on attendance sheet are not only time taking but have more chances of error and proxy attendance. It also increases the paperwork. During the past decade, efforts have been made to computerize this process through RFID and Thumb-print and eye scanners. Even though these systems have decreased the chances of proxy attendance relatively and have also decreased the paperwork, they cannot be regarded as completely efficient systems due to their time consumption and one-person processing at a time. The most adverse effect of the above-mentioned attendance systems is that they disturb the learning environment of the class and also the precious time of students is wasted in taking attendance daily, which could be utilized for studying.

Our proposed system of Class attendance through Face Recognition is a state of the art system that uses the group images of the class to detect the present students and mark their attendance. The attendance system is not only less time consuming as it can mark attendance of multiple students through a single group image but also it does not disturb the class environment as the system works in the background without any major input or instructions from the user other than the ‘Start’ command.

It is an application developed for daily student attendance at University, Colleges or Schools. This project attempts to record attendance through face detection. The aim of the project is to create software for the attendance system that can be used by all the teachers for their respective courses. The teacher will start the process of taking attendance by clicking a button. The camera will start sharing live feed to the processor, which will detect and mark attendance through Face Detection and Recognition algorithms. The administrator maintains the database. Every day at the end of the lecture attendance is uploaded to the system and the faculty can generate a list of defaulters.

To increase the efficiency of our proposed system, multiple group pictures will be taken after a constant interval to provide accurate results. The generated attendance will also be displayed in the class as well as a summary will be sent to the concerned officials.

Project Objectives

As a student, marking attendance is a daily occurrence for us. We observed various issues around ourselves that are present in the traditional attendance marking system, the top of which are proxy attendance culture and time consumption. The need for a computerized attendance system that can work on the background without the student interaction is especially felt during the exams period where each second is precious. For this purpose, we are designing a face recognition based attendance system that can cover the below-mentioned objectives.

 

• Designing Single Image Multiple Attendance System

• Designing a cost and time-efficient attendance system using CCTV Camera so that existing CCTV network can be used for attendance for commercial use

• Decrease Human Interaction in attendance system to reduce human-effort and human-errors

• Use IoT for remote server access of daily reports and a connected attendacne network over the whole campus

• Increase privacy and security so that there is no chance of proxy attendance.

• Produce daily/monthly reports for lecturers.

• Flexibility, Lecturer's capability of editing attendance records.

• Calculate absenteeism percentage and send reminder messages to students who are approaching the threshold level

• Calculate Reward marks or salary based on attendance

Project Implementation Method

The Proposed Project will be done in the following phases:

Literature Survey:

·         Comprehensive study of the major concepts involved in image processing.

·         Gathering information about Face Detection and Face Recognition algorithms.

·         Choosing the most suitable camera for the project

Designing the System:

·         Designing the software algorithm for Class Attendance.

·         Designing the Hardware of the project.

·         Running test results on the locally available datasets.

Implementation:

·         Implementing the initial phase in the real-life environment and getting real-time results for system optimization.

Installation and Documentation:

·         Installation of the developed system in the field for real-time application.

·         Documentation of project work.

Block Diagram Benefits of the Project

The major benefits of the project include the simplicity of project implementation and cost-efficiency. Moreover, it is quite beneficial for our parent university, the Islamia University of Bahawalpur, if this project is implemented all over the university. This will not only make the attendance system computerized and easier to manage, but the higher officials can also directly access the reports at any time by providing the authorization credentials.

 

Other benefits include:

 

1.      Reduced paperwork

2.      Time and Cost efficiency

3.      Eliminate duplicate data entry and errors in time and attendance entries

4.      Improve visibility to track and manage student attendance and absence across multiple campuses

5.      Real-time status tracking of leave requests

6.      Automatic calculation of leave and reward points accrued

7.      Track the attendance of teachers and staff assign work and manage the allocation

8.      Keep the parents informed about the student's performance via Email and SMS alerts

9.      Auto-generate various types of reports of class or student attendance

10.  Increased security and confidentiality with role-based permissions to users

Technical Details of Final Deliverable

The final system would be an integrated system based on hardware and software alike. The hardware of the project will act as an input and output of the system while software algorithms will be used for data processing and result calculation:

Hardware:

The hardware will include:

·         A user-friendly access point to initialize the attendance process.

·         An HD camera for taking real-time pictures

·         A display board to display the attendance in class

·         Supporting devices like GSM module, microcontroller, and Wi-Fi devices.

Software:

The software part of the system will include:

·         Class Information Database

·         Detection and Recognition algorithms

·         Supporting algorithms for data input, processing, and output

·         Attendance Reports

·         Attendance summary notifications

Input:

• Single Group Image
• Database (Information of Students)

Processing: 

• Detection through Viola-Jones Algorithm
• Image Cropping from the group image
• Recognition Using Sparse-Feature algorithm
• Attendance calculation and report generation

Output:

• Attendance Report
• Attendance Display on Display Board
• Attendance Summary through Text Message Notification

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Education Core Technology Internet of Things (IoT)Other Technologies OthersSustainable Development Goals Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	60200
HD Camera	Equipment	1	12000	12000
Power Cables	Equipment	2	150	300
Hard Drive	Equipment	1	9000	9000
Connecting Wires	Equipment	10	50	500
Power Bank	Equipment	1	7500	7500
GSM Module	Equipment	1	3000	3000
Data Cables	Equipment	3	150	450
Display Board	Equipment	1	2000	2000
USB Hub	Equipment	1	2500	2500
Arduino	Equipment	1	1500	1500
Arduino Connector Cable	Equipment	1	150	150
Ardunio Power Cable	Equipment	1	200	200
LED lights	Equipment	100	50	5000
Push Button	Equipment	3	250	750
Relay Circuit	Equipment	1	550	550
Resistors	Equipment	40	5	200
Capacitors	Equipment	10	30	300
Soldering Iron	Equipment	1	350	350
Solder Remover	Equipment	1	200	200
Soldering Wire	Equipment	1	150	150
Hot Glue Gun	Equipment	1	500	500
Glue Gun Sticks	Equipment	15	20	300
Voltage Regulator	Equipment	2	150	300
Wi-Fi Device	Equipment	1	4500	4500
Traveling	Miscellaneous	1	5000	5000
Printing/Binding	Miscellaneous	1	3000	3000