SKIN RISK ANALYSER
A wearable sensor platform that reads the environment your skin is exposed to and turns it into actionable insights. By using a personalised algorithm depending on the user’s skin concerns, a ‘skin-risk’ score provides an immediate understanding of the current dangers to your skin.
Role: Engineer + designer (physical hardware, firmware, app development)
Duration: 4 months (ongoing)
Status: Bench-validated prototype
[HERO IMAGE]
THE PROBLEM
Consumers face growing exposure to harsh environmental stressors (UV radiation, high temperatures, humidity and poor air quality) that can silently damage skin. Yet there’s no accessible way to monitor cumulative skin exposure in real time. Available air quality monitors struggle to help users interpret how these factors interact or translate into actionable recommendations. Meanwhile, mainstream skincare advice assumes a uniform environment for everyone, ignoring that individual skin responses vary dramatically based on actual conditions experienced.
Beyond interpretation challenges, current monitoring solutions are often bulky and track only a handful of environmental factors. None deliver an intuitive metric tailored to a user’s unique skin profile and needs. This project addresses that gap by combining multi-factor environmental processing into a streamlined, personalised solution that translates complex data into clear and actionable insights for individual skin health.
RESEARCH + REQUIREMENTS
Core design restraints and theoretical understandings to be implemented:
- Sensing the most important factors and determining their impact to skin risk based on skin conditions
- How do environmental factors affect skin differently depending on a users’s unique skin conditions?
- How will a weighted algorithm change based on what skin condition the user has?
- Providing insights over just raw data
- How can the data be portrayed in an easy to understand metric?
- What do certain values actually mean for the skin?
- What should users do in response certain sensor values?
- Being light in weight to be packaged in an unobtrusive, wearable form factor
- How does this affect component choice?
- Where can the device sit on the body to be unobtrustive, have low friction to be carried with a user everyday and get clear and consistent readings from the environment?