The "Automated Attendance System Using Face Recognition" is designed to tackle the manual attendance system, which is currently being used in our universities, colleges, offices and specifically for our university. An automated attendance system will be helpful to the teachers that they do not
Automated Attendance System using Face Recognition
The "Automated Attendance System Using Face Recognition" is designed to tackle the manual attendance system, which is currently being used in our universities, colleges, offices and specifically for our university. An automated attendance system will be helpful to the teachers that they do not have to waste the time on marking the attendance and that almost 10-17% (5-8 mins) valuable time of lecture can be utilized in the study rather than just marking the attendance.
In addition, there is no centralized database to keep the record of student’s attendance. Therefore, with this system, we can be able to store the attendance of students on a centralized server. It also led a helping hand to the teachers. Moreover, by using this system there should be integrity and consistency in the attendance of students. The system will not allow marking the proxy attendance.
Our system is a solution that specifically handles the marking attendance, stores it into an appropriate file, and keeps the records of the attendance of students. So rather, than making the separate attendance sheet for each Class and teacher, it provides a fast, efficient and collective way of marking the attendance.
It will be very beneficial for the organization which puts stress on the attendance of the person/students. It will also be able to generate the reports like, display the students whose attendance is less than the organization criteria (75% is currently in our/most universities).
As in the modern era of time, we are still using the old techniques of marking the attendance manually, which is time-consuming and difficult to manage as centralized storage which cannot be queried. There are also chances of marking proxy attendance by students. So by using this system, “Automated Attendance System using Face Recognition”, we can save approximately 10%/more time of the lecture which can be used in the lecture. There will also be a centralized database of attendance, which is easy to manage and query. There will be accuracy, consistency, and integrity in the attendance store in databases.
It will help us in achieving the following goals;
Moreover, we never had transparency and consistency in our conventional attendance system. It is a massive solution to address all the problems mentioned above. This type of system is not implemented yet in any educational or in other organizations.
Adopted Methodologies
We will use the prototype model with the incremental model for making the project successful and improve its working and development to its best.
Reason for Adopting Methodologies
We choose the prototype inside the incremental model to develop the system with good productivity. In our system, we may need the steps of changing the requirements and needs of the users. We may need different requirements as well as the different structure of this proposed system that is usable and valuable for the organization. Moreover, it will help us to divide the project into components that can be developed incrementally and the customers can test the desired system using prototyping.
Advantages
In this system, all the specification and user requirements must be clearly defined only then we will be able to complete the system in time and with a suitable cost.
The benefits of the “Automated Attendance System Using Face Recognition” is to make it easy for the teachers as well as of the students. Because a minimum 10-15% time of the lecture is consumed in marking the attendance. Moreover, we never had transparency and consistency in our conventional attendance system. It is a massive solution to address all the problems mentioned above.
It will help us to get the following benefits
It will also an innovation in our current scenario of manual attendance marking, which is a time-consuming and hectic task to perform. It can also be used for security purposes if required, then with only a few additional changes, it can be a surveillance system. That can be useful for the current scenario where we have security problems.

"An Automated Attendance System using face Recognition", hardware/software integrated system will be our final deliverable. There will be a number of entities involved in the system like a student, teacher, admin, sub-admin, employee, boss, etc.
In our current system (For Educational Institutions) the admin will be able to perform these activities:
The teacher and student will be able to see the attendance. sub-admin have the same right as admin except registering new sub-admin.
First of all the teachers, students, sub-admins, courses, classrooms, the time table will be stored in the system by filling the forms part of the front end. Then our system will automatically capture the current date and time and match it with the time table. So the room/lab number, course id, teacher id, and class id will be attached to the attendance marked.
This system will automatically capture 4 images randomly in the specified time of that lecture and mark attendance using face detection, then recognizing them in the database training dataset.
This is how the attendance will be marked and stored in a centralized database that can be queried easily and can be maintained with fewer efforts than managing the registers of all classes with corresponding teachers.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi 4 (4Gb Ram) | Equipment | 2 | 18000 | 36000 |
| Arducam 16MP Pi Camera 4K | Equipment | 2 | 10000 | 20000 |
| Data Cable | Equipment | 1 | 2000 | 2000 |
| Thesis | Miscellaneous | 3 | 1000 | 3000 |
| Box | Miscellaneous | 2 | 1000 | 2000 |
| Camera Holder | Equipment | 2 | 500 | 1000 |
| Battery | Equipment | 2 | 3000 | 6000 |
| Charger | Equipment | 2 | 2000 | 4000 |
| Documents | Miscellaneous | 5 | 600 | 3000 |
| Stationary | Miscellaneous | 5 | 100 | 500 |
| HDMI to HDMI cable | Equipment | 2 | 400 | 800 |
| Connected Chip | Equipment | 0 | 0 | 0 |
| Total in (Rs) | 78300 |
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