August 15, 2025The Eurasia Proceedings of Science Technology Engineering and MathematicsOpen Access

Enhancing Low-Resolution Facial Recognition in Classroom Environments Using YOLOv8

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YOLOv8-X achieved the highest precision at 92% and recall at 88% for detecting faces in classrooms.
Among four YOLOv8 variants tested, YOLOv8-L followed closely, showing a precision of 94% and recall of 84%.
Experiments were conducted in real classroom settings with 40 students in a 6 m x 5 m area, assessing detection performance.
The findings highlight YOLOv8's potential to enhance facial recognition and automate classroom management processes.

Authors

GAGheri Febri AnandaUniversitas Gadjah Mada NSNoor Akhmad SetiawanUniversitas Gadjah Mada IAIgi ArdiyantoUniversitas Gadjah Mada

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Implication

This analysis demonstrates YOLOv8's effectiveness in improving facial recognition accuracy in classroom environments, suggesting it can automate attendance and monitoring.

Cite This Study

Ananda et al. (2025) studied this question.

synapsesocial.com/papers/68af2ef6cf1dd9ea359e70cc https://doi.org/10.55549/epstem.1731150

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Implication

This analysis demonstrates YOLOv8's effectiveness in improving facial recognition accuracy in classroom environments, suggesting it can automate attendance and monitoring.

Enhancing Low-Resolution Facial Recognition in Classroom Environments Using YOLOv8

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Discussion

Implication

Cite This Study

Enhancing Low-Resolution Facial Recognition in Classroom Environments Using YOLOv8

Key Points

Discussion

Implication

Cite This Study

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