Pilot study shows 25% better attendance accuracy and 40% fewer HR interventions, emphasizing data privacy.
This study introduces a hybrid Employee Attendance System that integrates facial recognition with behavioral analytics for predictive absenteeism tracking. Through a pilot study in three multinational organizations, the system demonstrated a 25% improvement in attendance accuracy and a 40% reduction in manual HR interventions. The framework prioritizes data privacy through blockchain-enabled anonymization, ensuring compliance with global privacy laws. With advanced AI capabilities and cross-cultural adaptability, this system redefines attendance monitoring as a driver of organizational efficiency and employee satisfaction
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Tony Yulianto (2025) studied this question.
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