An efficient module that comprises Face-recognition using Opencv and Dlib libraries to manage the attendance record of students.
| Logo | Tool |
|---|---|
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OpenCV for image processing |
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Dlib for face recognition and feature encoding |
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MySQL for database manipulation |
The features that have been deployed in this project are:
| Image | Feature | Description |
|---|---|---|
| Face Detection | In this feature, the machine accesses the webcam and detects the users’ face in order to recognize their name and id. | |
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Monthly Attendance Count | A feature that enables the user to retrieve their monthly attendance count using MySQL queries. |
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Timestamp | This feature enables the user to mark their attendance in the timestamp (HH.MM.SS) format against their name and id. |
- Automating the Attendance System
- Saving time and efforts
- Reducing human error
- Easy and accurate
- Addition of in-time and out-time
- Time-duration calculation
- 3-D face detection