Measurement of beard hair removal efficacy using image analysis

Area of Science:

• Dermatology
• Biomedical Engineering
• Consumer Product Testing

Background:

• Evaluating the efficacy of shaving systems is crucial for product development and consumer satisfaction.
• Traditional methods for assessing hair removal may lack the precision to detect minor differences between shaving products.
• Objective, quantitative measurements are needed to reliably compare the performance of different shaving technologies.

Purpose of the Study:

• To develop and validate a novel method for quantitatively measuring the efficacy of beard hair removal using an image analyzer.
• To establish a protocol capable of detecting statistically significant differences in shaving performance, including those less than 1%.

Main Methods:

• A standardized shaving protocol was implemented with human panelists evaluating different shaving systems on alternating sides of their faces.
• Shaved whiskers were collected, and their lengths or projection areas were measured using an electronic image analyzer.
• Statistical analysis of mean whisker measurements was performed to determine differences in hair removal efficacy.

Main Results:

• The image analysis method demonstrated high sensitivity, capable of detecting differences in hair removal efficacy below 1% with statistical significance.
• The protocol effectively differentiated the performance of various shaving systems based on whisker length and area measurements.
• The method allowed for the assessment of both first and second hair cuts, particularly relevant for twin-bladed razors.

Conclusions:

• The developed image analysis method provides a precise and reliable tool for evaluating beard hair removal efficacy.
• This objective measurement technique can significantly aid in the comparative assessment and development of advanced shaving systems.
• The protocol's ability to detect subtle performance variations offers valuable insights for optimizing shaving product design.