A Study on the Effectiveness of Scalp Type of Personalized Shampoo Serum Users through AI scalp Measurement

The purpose of this study is to find out the effect of improving scalp type by using personalized shampoo and serum through AI scalp measurement. As a research method, the research method is to conduct a theoretical consideration on the type and action of scalp, measure the subject's scalp using an Artificial Intelligence (AI) ASM202 scalp diagnostic device, and derive the results to manufacture and use personalized shampoo and serum. Data analysis measures the scalp once every two weeks for eight weeks, and the measurement site is to measure the left hairline, front hairline, right hairline, center of the front and six scalp of the top of the head of the occipital region, and to manufacture and use personalized shampoo and serum through AI. As a result of the study, it is found that the number of scalp types that are closer to dry, oily, and normal types has increased in scalp improvement compared to the first one in the left, front, right hairline, center of the occipital region, and the top of the head. Therefore, we hope that the personalized shampoo and serum manufactured through AI will improve people with hair loss and scalp disease, and we intend to contribute to the utilization of personalized scalp products through this study.