Data collected by Smart Mirror gets encrypted and transferred to application installed on user’s mobile device. Further data handling is performed by feedforward neural network, that connects to application, analyzes received data and provides analysis result.
The use of neural networks allows not only to discover and detect problem zones, but also to receive detailed information on each flaw: acne, enlarged pores, wrinkles and dark circles under eyes.
Wide range of characteristics gets analyzed — color, area, location, amount, etc. and as a result of this analysis user receives detailed summary and personalized skincare tips.
Other significant advantages of neural networks are flexibility and scalability of algorithm allowing work with various skin types and flaws.
Moreover, the use of this method of data collection and self-improvement allows algorithm to define flaws more accurate.