OpenOrigins' HOPrS, accepted into Linux Foundation’s Decentralized Trust lab, can determine if images have been altered using perceptual hashing and quadtree segmentation.
Perceptual hashing compares image hashes to detect changes, while quadtree segmentation breaks down images to pinpoint alterations in specific quadrants.
HOPrS helps identify AI-generated content and contributes to verifying content in the era of generative AI.
OpenOrigins aims to create a trust infrastructure for user-owned data provenance by contributing to open source initiatives.