In the rapidly expanding sneaker authentication market, Kakaobuy
Unlike traditional authentication methods that rely on static image comparisons, Kakaobuy's proprietary technology examines multiple dynamic characteristics when assessing signature authenticity: Through machine learning analysis of the unique writing dynamics of each athlete, the system builds movement profiles that are virtually impossible for counterfeiters to replicate accurately. Kakaobuy's system goes beyond standard form analysis by reconstructing the actual dynamic motions athletes use when signing. "Signature forgers can copy what a signature looks like, but they can't reproduce how it was created," explained Dr. Ellen Zhao, Kakaobuy's Chief Technology Officer in an technical overview on their research page. The vector comparison algorithms measure microscopic details like: Industry analysts project this technology could reduce counterfeit sneakers passing authentication by up to 92% compared to current visual examination methods. The system is scheduled to be implemented first for Adidas Basketball signature models starting Q1 2024. Focusing specifically on premium collector shoes , this perfectly supplement still vulnerable stockX escrow checks helping verifying factories making perfect signature material fakes. For more details on the technical specifications or to see live demo authentication cases, visit Kakaobuy's official news portal
The 16-Point Verification System
Authentication Process Workflow
The Technology Behind Signature Analysis
Impact on Sneaker Authentication Industry