Perfect Corp's AI skin analysis offers three major differentiators over traditional testing devices:
- Accessibility breakthroughs: Only a smartphone camera is needed to complete the test, eliminating the high cost of using VISIA equipment in professional organizations (about $300-800 for a single test)
- Dynamic tracking capability: Historical data recorded in the cloud to generate "Skin Trend Charts" to quantify the effect of skincare products (e.g. 28-day pore size reduction).
- Scene integrationThe test results are directly related to the product library of the partner brands, realizing the closed loop of "diagnosis-recommendation-purchase" and increasing the average conversion rate by 40%.
On the technical level, its CNN neural network has been trained on 100,000+ clinical samples, with an accuracy of 89% for recognizing common skin problems in Asian races, but it should be noted that the technology is mainly applicable to superficial skin assessment, and professional medical diagnosis is still required for deeper problems such as rosacea.
This answer comes from the articlePerfect Corp: AR and AI Tools for Virtual Makeup Trial and Beauty TechnologyThe
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