An intelligent hair and scalp analysis system using camera sensors and Norwood-Hamilton model

With the rapid development of information technology and sensors, new types of medical services have been introduced to users. Baldness or hair loss has caused significant problems for people on social occasions and even affected their health. Therefore, hair and scalp care are taken more seriously by people. Hair care or scalp detection can be realized in a professional hair care shop or medical and cosmetic clinic, but it is very expensive. Recently, owing to the enhancement in computation ability of intelligent devices and decrease in prices, it is feasible to have an inexpensive hair and scalp analysis system. This paper proposes the concept of using webcam and microscope camera sensors to extract characteristic images to evaluate the hair and scalp status of the user. Through the Norwood-Hamilton scale model and detection of scalp surface status, actual information is provided to the users to understand their own physical status. Additionally, this system uses an NVidia Jetson TK1 platform as the master device to increase computing efficiency, which is a new solution. In this work, experiments are conducted to verify the validity and feasibility of the system.