학술논문
Skeleton-ID: AI-driven Human Identification
Document Type
Conference
Author
Source
2023 IEEE Conference on Artificial Intelligence (CAI) CAI Artificial Intelligence (CAI), 2023 IEEE Conference on. :278-279 Jun, 2023
Subject
Language
Abstract
Victims of crime, migration, natural disasters, and armed conflicts often remain unidentified due to the absence of DNA samples and fingerprints. Skeleton-based identification (ID) methods could help to identify these victims because they are suitable for poorly preserved bodies and require comparison data that is relatively easy to obtain —e.g., a simple photo of the victim— instead of a DNA sample of a close relative or access to a database in another country. Skeleton-ID™ is a game-changing software designed for skeleton-based human identification using artificial intelligence (AI). Combining forensic anthropology and odontology methods with cutting-edge image processing and AI technologies allows us to apply these methods on a large scale. This leads to very high reliability (up to 99%), obtaining explainable results, and a drastic reduction of identification time (days to minutes). The software is accessible through a web browser and can process ante-mortem (AM) information on missing persons as well as post-mortem (PM) information. Usable data includes ordinary photos, 3D scans of bones, x-rays, and dental records.