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What are the best ways to implement an attendance logging system from live video feed using face recognition?

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I am working on a face recognition based attendance logging system. Since a live video feed contains multiple images of a same person, I wanted to know what are the best practices that can be used to recognise a person without any misclassification and delay?
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KALYAN ACHARJYA
KALYAN ACHARJYA 2019 年 3 月 19 日
編集済み: KALYAN ACHARJYA 2019 年 3 月 19 日
The concept is quite old it having challenges (Practically: Face fetch from live video or movement). Please look at the different FRA (Face Recognition Algorithms) , numerous literature and comparision avaliable. like PCA and CV approach.
Good Luck!
Shaik Ahmad
Shaik Ahmad 2019 年 3 月 19 日
Dear @Kalyan
thank you for your inputs. I have started studying related FRAs. And I got a fair amount of knowledge on face recognition . But my concern is in live video feed, actually we get multiple images of a same person (let consider with a 30 fps camera if a person stays in the line of sight for 10 seconds I get 300 frames of the same person).
In this situation how do we calculate the final prediction in robust manner.

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