Finding the Vulnerable with Biometrics, Artificial Intelligence: Atlanta’s Trust Stamp to aid in locating those lost to human trafficking
Artificial intelligence may put an end to a long-running industry: human trafficking.
The average age a minor enters the sex trade in the U.S. is 12 to 14 years old–many of the victims being runaway girls who were sexually abused. According to dosomething.org, trafficking involves various forms of exploitation, such as forcing victims into prostitution, subjecting victims to slavery or involuntary servitude and compelling victims to commit sex acts for the purpose of creating pornography. Thankfully, Attorney Generals in the U.S. and Mexico are planning to implement a new system that will help to locate victims of human trafficking.
Trust Stamp, an Atlanta-based startup, will be providing the ‘meat and potatoes’ of the life-saving technology. According to the company website, “[Trust Stamp] creates proprietary artificial intelligence solutions; researching and leveraging facial biometric science and wide-scale data mining to deliver insightful identity & trust predictions while identifying and defending against fraudulent identity attacks.”
“We authenticate … by applying multiple proof-of-liveness/attack detection techniques to a still image of video (“secure selfie”),” the company website said. Artificial intelligence then compares the secure selfie to a photo ID and/or images that were taken from social media (“pattern matching”)—this is to verify an identity. “The secure selfie is then converted to a 3-D mask and a biometric hash that is stored on a server and/or Blockchain. The hash can be used for subsequent authentications or to attach and access relevant data.” Having been implemented within banking platforms to increase security, how does this technology apply to the sex trade?
To summarize, a similar system will use facial recognition data that is pulled from photos that families of missing individuals have submitted to build a shared database network. In return, a probable match will then alert lawmakers if said individual is caught on a security or other public camera. By separating biometric data into 128 individual measures, it can then be converted to a non-reversible identifying sequence, otherwise known as a ‘hash’. The hash is not considered to be personal identifier information and can be shared or stored across public or private databases.
To keep the AI solutions up to par, the company utilizes GPU processing and neural-networks to process data faster than has ever been previously possible. In return, this recognition technology will help to locate missing children and other people in the sex trade by relying on superiorly quick and accurate recognition techniques.
For more information on Trust Stamp, please visit the company website by clicking here. You may also view the video below.
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