dc.contributor.author |
Muzaffar, Fawad |
|
dc.contributor.author |
Arshad, M Akash |
|
dc.contributor.author |
Nasir, M Abrar |
|
dc.contributor.author |
Supervised by Dr. M. Imran |
|
dc.contributor.author |
Supervised by Dr. Ayesha Habib |
|
dc.date.accessioned |
2025-02-10T12:07:47Z |
|
dc.date.available |
2025-02-10T12:07:47Z |
|
dc.date.issued |
2021-06 |
|
dc.identifier.other |
PTE-305 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/49624 |
|
dc.description.abstract |
Manual attendance system is one of time-consuming process and the human error remains. There are many methods available for attendance system like fingerprint and face recognition. The most effective method of attendance system is based facial recognition and iris-based attendance system. We have developed an iris-based attendance system in which the live camera takes the picture of user eye, recognize it and mark its attendance and save it in CSV file. Our project consists of automatic mail sending, which send the email while click the email tab when attendance is done. The whole system of this project is based on Raspberry pi based single board computer and raspberry pi camera. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
MCS |
en_US |
dc.title |
IRIS Based Attendance Management System |
en_US |
dc.type |
Project Report |
en_US |