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This is a Quantitative Study study (also classified as: Experimental Study).

October 20, 2025TelematikaOpen Access

Combination of Deep Neural Network and YuNet for Python-Based Human Lifespan Prediction

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The combination of DNN and YuNet achieved an 80% accuracy in predicting human age from facial images.
Facial patterns were analyzed through a system that utilized 50 samples of human faces at close range.
This study developed a face recognition model in Python that addresses challenges in age prediction accuracy.
YuNet was integrated for its efficiency and capability in detecting facial features within images.

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Implication

The study demonstrates age prediction accuracy in facial images using deep neural networks and YuNet, highlighting substantial operational efficiency.

Cite This Study

Apridiansyah et al. (2025) studied this question.

synapsesocial.com/papers/68f5fcdc8d54a28a75cf2291 https://doi.org/10.31315/telematika.v22i1.14510

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Implication

The study demonstrates age prediction accuracy in facial images using deep neural networks and YuNet, highlighting substantial operational efficiency.

Combination of Deep Neural Network and YuNet for Python-Based Human Lifespan Prediction

Key Points

Discussion

Implication

Cite This Study

Combination of Deep Neural Network and YuNet for Python-Based Human Lifespan Prediction

Key Points

Discussion

Implication

Cite This Study

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