Researchers at the University of Washington have developed a predictive age progression app that can accurately predict what a child will look like as an adult, up to the age of 80. Aside from offering up some predictive fun, the software could play a crucial role in solving missing persons cases. The software algorithm, developed by a team led by professor Ira Kemelmacher-Schlizerman, is claimed to be able to do a better job than a human.
The software uses a database of thousands of faces grouped by age and gender. It determines the average pixel distribution of different facial features and calculates how those features change as a person ages.
It starts by taking a baby picture as input. It then corrects for tilts, turned heads and lighting before applying age-related changes to the baby photo to predict how he or she will look will as an adult.
Why This Trend Is Growing
- Predictive Age Progression
- Opportunity for businesses to develop predictive age progression software to offer personalized services and experiences.
- Facial Recognition Technology
- Potential for industries to utilize facial recognition technology to enhance security measures and solve missing persons cases.
- Artificial Intelligence in Forensics
- Disruptive innovation opportunity for the forensic industry to incorporate artificial intelligence algorithms for accurate age progression.
Industries Being Reshaped
- Technology
- The technology industry can explore the development and application of predictive age progression software.
- Security
- The security industry can implement facial recognition technology to strengthen security protocols and solve missing persons cases.
- Forensics
- The forensic industry can adopt artificial intelligence algorithms to improve age progression accuracy in solving missing persons cases.
