Altcoins Talks - Cryptocurrency Forum
Learning & News => Announcements [ANN] => Tokens/Coins Offerings (ICO, IEO, etc.) => Topic started by: unideca on July 25, 2018, 04:33:57 AM
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This is Qfora team. I will talk about environmental date analysis.
Human skin is damaged from birth due to environmental and aging factors, and the development and extraction of techniques to extract skin conditions as numerical data to assess them are the features that are needed. Data cells collected in skin diagnosis are skin condition models built from images, and are characteristic aging models taking into account moisture and skin type.
Skin data consists of member ID, skin age, wrinkled length, roughness, sensitivity, skin tone, oil, moisture, pores, actual age, sex, area code, air pressure, latitude, longitude, weather, atmosphere, temperature, ultra violet rays and many other external data.
We can notice where each skin feature can be affected by regional characteristics, and by which data on aging characteristics can be obtained, I) analyze the differences in aging characteristics between regions, ii) analyze the differences in aging characteristics between the regions’ temperature and humidity iii) analyze the differences in aging characteristics between the regions’ altitude. In addition, comparing data from countries to countries rather than limited regional data based on the current analysis results can yield more tangible results.
Information on user information, location, and diet obtained through the diagnostic app is sent to the server. The diagnostic server requests user location-based environmental information as environmental data and the image is analyzed by image processing. Afterwards, the analysis result and the information are combined to transmit the final result to the diagnostic app. Environmental data is converted into a GIS coordinate system for the data, leveraging the user's smartphone GPS. It requests weather information, life indexes, etc. for the measurement area and stores them in the database, collects the information and presents it to the users in the form of diagnostic app, WEB, and API.
The goal is to provide integrated services that provide personalized services, such as lifestyle, ultraviolet and humidity from basic information on the skin.
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