- Our software performs automatic skull-face overlay, using only a 2D photo of a subject and 3D model of a skull. Anthropologists only have to locate landmarks and select a soft tissue thickness study.
- Skeleton·ID automatically estimates the focal length of the camera and thedistance at which to photo was taken together with the orientation of the subject with respect to the camera.
Automation of processes of comparison of multiple skulls and photos for forensic files corresponding to scenarios of mass graves, mass disasters and candidate searches on databases of missing persons/osteologists.
- Define landmarks, landmark pairs and soft-tissue thickness.
- Active user management to control access within the organisation.
- Create databases with AM and PM records, photos and 3D models.
- Create forensic files from subsets of AM and PM data.
- Automatically create identification reports with text, tables and images.
(meets European standard MEPROCS)
A software that provides tools that facilitate the correct location of 2D (grid, reference lines) and 3D landmarks (frankfurt, coronal and sagittal planes), the editing of soft tissue direction and thickness and the analysis of morphological correspondence using transparency and wipe functions.
- Skull (3D) - face (2D) overlap using tools for rotation, translation, scaling and projection of the 3D model.
- Advanced operations (coupled and uncoupled): change of camera-subject distance, focal distance and main point.
Skeleton·ID is available as an on-premise solution or as Software as a Service.
The On-Premise version can be run on own server hardware without internet access and is meant for larger institutions like police forces.
The Software as a Service version that is accessible from anywhere and always up-to-date is meant for forensic labs with a lower number of annual cases or educational use.
Both versions use advanced encryption technology, and data security is guaranteed.
We are continually working on including the latest scientific results in our products:
- Quantitative evaluation of morphological correspondences and thie implementation of a decision support system.
- Automatic location of cephalometric landmarks in photos and cranemometrics in 3D models of the skull.
- Automatic positioning and articulation of the mandible with the rest of the skull.
- Automatic assembly of fragmented skulls.
- Automatic generation of case reports to facilitate the decision making in legal proceedings.
Probability that the correct correspondence of a case will appear in a list of the best R's, where R denotes the ranking.
Preliminary results of the automatic decision support system.
C. Campomanes Alvarez, R Martos-Fernández, C. Wilkinson, O. Ibáñez and O. Cordón. Lodeling skull-face anatomical/morphological correspondence for craniofacial superposition-based identification. IEEE Transactions on Information Forensics and Security 13:6 (2018) 14
Our vision is to turn Skeletion·ID into the comprehensive tool for physical and forensic anthropology.
In collaboration with the University of Granada we have patented a fully automatic and highly accurate identification system for certain bone structures by means of comparison of X-rays and 3D models of bones. We are collaborating in a large-scale study to confirm these magnificent results. The next step will be to develop and integrate this system as another Skeleton-ID module.