EVERYTHING YOU NEED TO KNOW ABOUT OUR
PROPRIETARY DATA COLLECTION INITIATIVE

What it is


A continuous international cross-sectional survey designed to enhance and further develop the field of
Sensory Analytics, SMILe will immediately enhance smoking validation and be used in the future to identify chronic diseases including diabetes, heart disease and dementia.

  • Supports the global expansion of our predictive algorithms
  • Helps our Facial Analytics engine account for differences in populations across the globe
  • Represents a giant leap forward in our future ability to detect and predict fatal diseases and disabling health conditions

How SMILe works

  • Individual surveys collect images, video, demographic and health data
  • Collections use IRB approved protocol with standardized equipment
  • Data collection teams will be engaged for global markets

Demographic Data

  • Multiple points on each participant are captured.

Image/Video Data

  • Standardized equipment is utilized in all markets
  • Still images and videos are captured on each participant

How

we will use

the data?

Smoking detection^
Age detection^
Gender detection^
Age progression^
Disease detection*

^Current Tools
*Future Tools

Who will

benefit from

the data?

Industries

  • Life insurance
  • Health insurance
  • Financial services
  • Public Health
  • Cosmetics
  • Plastic surgery
  • Telemedicine


Individuals

Profile


Male, Age 60, 
Current Smoker
Physical Activity: Sedentary

Results


Life Expectancy (LE) = 77.8 years
Healthy Life Expectancy 
(HLE) = 74.3 years

HEALTHe Advice


If you quit smoking now, you can raise your LE by 2.5 years and your HLE by 1.8 years.

If you continue to smoke but raise your level of physical activity to moderate (15 minutes, 3 days per week -such as brisk walking or cycling), you can raise your LE by 1.9 years and your HLE by 1.5 years.

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