The cosmetics industry faces a substantial challenge with counterfeit products, particularly on online platforms such as eBay, TikTok Shop, and Vinted. Studies indicate that up to two-thirds of branded makeup and skincare products sold on these sites may be fake. These counterfeit items not only result in financial losses for consumers but also expose them to potential health hazards, including heavy metals and bacteria.
A researcher is exploring whether existing artificial intelligence models can be adapted to identify counterfeit cosmetics. The motivation stems from the observation that while counterfeit products often appear nearly identical to genuine ones, close inspection reveals subtle inconsistencies. The project aims to develop a method where consumers could use AI tools like ChatGPT, Gemini, or Claude to verify product authenticity by uploading photos before making a purchase.
To test this concept, the researcher acquired both authentic and counterfeit versions of a specific product, 'Rhode Peptide Lip Tint,' known to be targeted by counterfeiters. Multiple photos were taken of each product's packaging and tube. These images were then uploaded to Google Gemini (using the 3.6 Flash model with 'Thinking' enabled), with prompts asking the AI to determine authenticity and identify any red flags.
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A researcher is investigating the use of existing artificial intelligence models, such as Google Gemini, to detect counterfeit cosmetic products. This initiative aims to provide consumers with a tool to verify product authenticity before purchase, addressing the widespread issue of fake cosmetics that can pose health risks.