Face Recognition Attendance System
Issues in marking attendance.Face recognition systems are part of facial image processing applications and their significance as a research area are increasing recently. Implementations of system are crime prevention, video surveillance, person verification, and similar security activities. The face
2025-06-28 16:27:11 - Adil Khan
Face Recognition Attendance System
Project Area of Specialization Artificial IntelligenceProject SummaryIssues in marking attendance.Face recognition systems are part of facial image processing applications and their significance as a research area are increasing recently. Implementations of system are crime prevention, video surveillance, person verification, and similar security activities. The face recognition system implementation will be part of humanoid robot project at At?l?m University.
The face recognition system implementation will be part of humanoid robot project at At?l?m University. The goal is reached by face detection and recognition methods. Knowledge-Based face detection methods are used to find, locate and extract faces in acquired images.
Targeted Audience will be educational institutes like school and universities.
Our essential objective is to help the teachers, improve and put together the cycle of track and oversee understudy participation and non-attendance. Additionally, we seek to:
? Give an efficient attendance administration to the two educators and understudies.
? Decrease manual cycle mistakes by giving computerized and a solid participation framework that works under the idea of face acknowledgment innovation.
? Increment protection and security which a student can't introduce himself or his companion while they are definitely not.
? A monthly report for the teachers will also be a part of its functionality..
? Flexibility and capability of editing attendance records for teachers and view only for students.
? Brief overview of extended statistics for students’ absences and activities regarding his attendance.
Project Implementation MethodWe are going to include data base, Image Processing, image analysing techniques and in devices or tools we will have the high definition camera with voice alert system.
Benefits of the ProjectVoice alert for attendance announcement.
Image capturing.
Face Detection.
Then image processing.
Identification.
Classification With respect to given database.
And then producing output with accuracy.
2.8 Assumption and Dependencies
2.8.1 Assumptions
? Scheduling accuracy:
The given deadlines and milestones are mostly achievable and finishing the project is already on the top of todo list.
? Performance:
Performance of the actualized systems, educators and understudies are the key. Moreover, all essential gear and relative products are accessible at whatever point you need them.
2.8.2 Dependencies:
? Hardware Dependencies:
A computer running linux environment with at least 8GB of RAM and minimum 4GB of GPU is considered to be a good hardware to run the project on as the learning model of KERAS requires high computational power. A good camera of at least 10mpx will be more than enough to capture the live stream.
? Third Party Dependencies:
Application program interfaces(APIs) are a bunch of schedules, apparatuses capacities and conventions that permit applications to speak with each other, sharing information and making a move for the benefit of the other without engineers sharing the whole code of each application included, consequently it should be ensured that the framework compares to such outsider communications.
3 EXTERNAL INTERFACE REQUIREMENTS
3.1 Hardware Interface
The project’s mobile application targets minimum android API 21 (5.0) so mobile devices should be equal or greater than API level 21 to smoothly run the application. Mobile Device camera is required to scan QR code.
3.2 Software Interface
The system shall communicate with an external payment gateway to manage your wallet.
3.3 Communication Interface
All the micro-services in project architecture along with the front end clients that are mobile application and web based dashboard communicate with the use of exposed API by each service. This system shall use HTTPS to make such API calls for communication over internet to help maintain the integrity and confidentiality. [2]
Final Deliverable of the Project Software SystemCore Industry EducationOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for People, Quality EducationRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 48000 | |||
| High Definition Camera | Equipment | 2 | 24000 | 48000 |