This system integrates fluorescence-based visualization technology with intelligent image analysis to establish an objective and quantitative framework for evaluating hand hygiene effectiveness, thereby overcoming the limitations of conventional assessment methods that rely primarily on subjective visual inspection. The system is capable of real-time detection and analysis of fluorescent residue distribution on the hands, enabling quantitative assessment of cleaning coverage and identification of high-risk areas that may be inadequately cleaned. Through visualized feedback, the system enhances assessment accuracy, facilitates targeted learning, and improves the overall efficiency of hand hygiene training.

Furthermore, the system incorporates a comprehensive data management and tracking mechanism that systematically records assessment results and user performance over time. This functionality supports longitudinal monitoring of learning outcomes and behavioral improvement, providing evidence-based insights for educational interventions and continuous quality improvement. By promoting adherence to proper hand hygiene practices, the proposed system contributes to strengthening infection prevention and control measures and supports the advancement of healthcare quality and patient safety.

The system enables users to rapidly identify areas of inadequate hand hygiene performance, thereby improving procedural accuracy and learning efficiency. In addition, it incorporates data recording and longitudinal tracking functionalities, allowing for systematic evaluation of training outcomes and competency assessment. These capabilities support healthcare institutions in implementing standardized training management processes and promoting consistent adherence to hand hygiene best practices.