In recent, modern people has been suffering from their hair loss. According to the definition, hair loss refers to the status in which hairs on certain regions are lost, due to multiple causes albeit they are supposed to be present under normal conditions. Compared to the normal hair growth cycle, numbers of hair loss outnumber the newly growing hairs and there is excessive amount of hairs in the resting phase, thereby resulting the reduction of total numbers of hairs. In the present study therefore, we designed and developed the scalp management system to pursue more efficient management of hair loss. In the suggested system, scalp types were classified as follow: Plain Scalp, Dry Scalp, Oily Scalp, Compound Scalp, Sensitive Scalp, Seborrhea Scalp, Pressure alopecia Scalp, Tinea capitis Scalp, Aging Scalp, Inflame Scalp, Psoriasis Scalp, Steroid side effect Scalp, alopecia scalp and so on. It was designed that each individual can perform the scalp imaging analysis using the system so that relevant experts review diagnosis history of existing databases and diagnose various statuses of scalps. Utilizing the system herein, we are looking forward to improving competitiveness of relevant industries.