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Disaster
Victim Identification


Disaster Victim Identification or DVI is the method used to identify victims of mass casualty incidents such as aircraft crashes, natural catastrophes, or terrorist attacks. The process can be long and involved due to the nature of the event and the need to correctly identify the victim.

The risk of misidentification of an individual can bring into question all identifications and heighten the trauma of what is an already demanding situation for everybody involved.

DVI involves a range of forensic science techniques used to make a positive identification of the deceased victims.

Skeleton-based
identification in DVI

Even though DNA profiling and automated fingerprint ID software are widely available, in DVI victims often can not be identified with these techniques.

Skeleton-based human identification is used especially in cases of victims whose remains are in a bad state of preservation (burnt, decomposed, skeletonized). These type of methods are used in 40-50% of all autopsies.

SKELETON·ID SOLUTION

CORE

Missing and Unidentified people Database and Virtual Lab, Case Files, Reports, Statistics, Access Management etc.

MODULES

· Craniofacial Superimposition
· Dental Comparison
· Biological Profile
· Comparative Radiography


VIRTUAL LAB


What is

Skeleton·ID is a game-changing software solution that combines identification techniques with Artificial Intelligence and integrates them into one single tool.

Allows different types of input data for missing and unidentified people. The software can process photos, 3D models, x-rays, personal information, and dental records and can compare this data with entire databases automatically by Artificial Intelligence. This makes the large-scale application of skeleton-based identification possible for the first time.

Designed for
forensic experts

Forensic experts like anthropologists, odontologists, pathologists in governmental and non-governmental organizations.

Governmental
Organizations

Forensic / Legal
Medicine

Non-Governmental
Organizations