Description:
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)
Facial approximation system for approximating a soft tissue profile of a skull and identification of an unknown subject.
The Invention
Current facial approximation methods used in forensic investigations are inaccurate, time consuming, and expensive to create. Clay reconstruction, the current leading technology, requires specialized artists who can take months to produce a likeness of a person's face from a skull, slowing and adding costs to investigations.
The current UNLV facial recognition technique utilizes radiographic analysis to match an individual's skull measurements to those in an extensive skeletal database. This
method can then be used to rapidly produce more accurate facial approximations for forensic investigations, reducing the time and cost compared to conventional methods.
Key Benefits
- Matches can be further refined based on other facial variables (more accurate)
- Faster production (within minutes)
- Can evaluate skulls with missing landmarks
Applications
- Forensic evidence is an indispensable part of most criminal investigations and a processing backlog in many jurisdictions will necessitate greater funding for forensic technologies.
- The technology can also be applied in areas such as:
- Medical: Produce facial approximations for patients undergoing reconstructive surgery or for individuals with facial deformities
- Entertainment industry: Create realistic facial reconstructions for historical or fictional characters
- Education and research: Study facial anatomy and to develop new methods for facial reconstruction
Market Opportunity
The forensic technology services market was $815 million in 2021. Nearly 4,400 unidentified bodies are discovered each year and 25% of those bodies remain unidentified after a year. This new method is a cost-effective and efficient means to identify the deceased. A wide variety of additional applications are possible.
Development and Intellectual Property Status
- US Patent 10,007,988, Issued 6/26/2018