Scalp type diagnostic system on basis of scalp state information, and scalp improving method using same

A scalp type diagnostic system on a basis of scalp state information, the system comprising:

• a server (S) for file storage, configured to transmit questionnaire information obtained through a questionnaire answered by a subject as well as a scalp image obtained by one of a scalp diagnosis device or a terminal (1) through API (RESTful) (2) as a cloud service and store a same in file;
• a main processor (3) configured to diagnose the questionnaire information through a self algorithm among the questionnaire information directly received from the server (S) for file storage or received through the API (RESTful) (2) as the cloud service as well as the scalp images, analyze the scalp image for all or some of diagnosis items (for example, {circle around (1)} good (normal), {circle around (2)} dry, {circle around (3)} oily, {circle around (4)} sensitive, {circle around (5)} atopic, {circle around (6)} seborrheic, {circle around (7)} troublesome, {circle around (8)} dry dandruffy, {circle around (9)} oily dandruffy, {circle around (10)} alopecia) by artificial intelligence (AI) analysis of an artificial intelligence processor by utilizing information of big data constructed in database (4), and transmit diagnosis results from the analysis and diagnosis based on the questionnaire information in real time to a terminal of a diagnostician again through the API together with a recommended product in accordance with an appropriate prescription;
• an artificial intelligence processor (5) configured to perform AI analysis, which classifies the scalp image directly received from the server for file storage or received from the main processor into all or some of the diagnosis items (for example, some of {circle around (1)} good (normal), {circle around (2)} dry, {circle around (3)} oily, {circle around (4)} sensitive, {circle around (5)} atopic, {circle around (6)} seborrheic, {circle around (7)} troublesome, {circle around (8)} dry dandruffy, {circle around (9)} oily dandruffy, {circle around (10)} alopecia) by utilizing accumulated data of database;
• a scalp diagnosis AI algorithm (6) configured to receive information classified into all or some of the diagnostic items from the artificial intelligence processor and perform learning and reading by a deep learning algorithm to perform a specific precision diagnosis, thereby deriving a final result diagnosis;
• and
• database (4) configured to accumulate scalp measurement, diagnosis, and recommendation data to be provided to the main processor so as to perform self scalp diagnosis and recommendation service,
• wherein the scalp image is classified into 10 scalp types based on seven pieces of scalp state information by utilizing the accumulated data of the database through the artificial intelligence processor (5),
• the seven pieces of “scalp state information” includes {circle around (1)} micro keratin, {circle around (2)} excessive sebum, {circle around (3)} erythema between hair follicles, {circle around (4)} follicular erythema, {circle around (5)} pustules, {circle around (6)} dandruff, and {circle around (7)} hair loss (low hair density or small hair thickness), and
• the 10 “scalp types” include {circle around (1)} good (normal), {circle around (2)} dry, {circle around (3)} oily, {circle around (4)} sensitive, {circle around (5)} atopic, {circle around (6)} seborrheic, {circle around (7)} troublesome, {circle around (8)} dry dandruffy, {circle around (9)} oily dandruffy, and {circle around (10)} alopecia.