The proposed system consists of three sub-system,they are mobile wireless scalp detection equipment, an android-based mobile tablet APP, and a deep learning training server. Mobile wireless scalp detection equipment in accordance with the specifications of the same scale detection instrument which the scalp can be enlarged 200 times after the wireless transmission to the Android mobile tablet APP by Wi-Fi. The image of scalp is also immediately uploaded to deep learning training server via the 3G/4G networks. A predictor which is generated by deep learning server is based on the previous scalp images training to predict current scalp state of health (Ex. bacteria, redness and allergies, dandruff,folliculitis, excess fat, hair loss, etc.). Therefore, the scalp therapist can immediately know the current state of the scalp of the client, and give scalp care advice to the customer.