Hand Hygiene Auditing Algorithm using Image Processing for Hand Hygiene Evaluation Machine

Traditionally, hand hygiene performance of personnel is evaluated through human sight which does not meet the standard since the error may cause by human. Later, the hand hygiene auditing using image processing is proposed. The hand image is converted into grayscale and detected a clean/unclean area with a fixed threshold. In this paper, we propose a new hand hygiene auditing algorithm for hand hygiene evaluation machine by exploiting the image processing application. The objective of this work is to improve the performance and reduce a time of the traditional hand hygiene performance evaluation. In our proposed algorithm, the performance of hand hygiene is evaluated through color image by extracting the blue (B) component of image which is greatly influenced by the effect of ultraviolet (UV) light. Moreover, we detect clean/unclean area with an adaptive thresholds since the intensity of clean/unclean area for white and dark people is not the same. Therefore, the hand hygiene performance of personnel is evaluated accurately with less short consuming.