Woody Bledsoe, Helen Chan Wolf, and Charles Bisson first developed facial recognition for a US military agency in the 1960s. Their backgrounds in computer science, robotics, and mathematics were quite diverse. But their complementary abilities allowed them to create a technique that allowed a computer program to recognize faces by calculating the separations between landmarks on a face.
In 1997, a group at the University of Bochum made the next significant discovery when they developed the software known as ZN-Face, which businesses worldwide used in commercial applications. Even if algorithms and technology have advanced at an astounding rate since then, Bledsoe’s original pioneers, Wolf and Bisson, deserve all the credit.
Read More blogs:
Do any iPads have Facial Recognition
Does Walmart use Facial Recognition
When Was AI Facial Recognition Invented?
AI-powered facial recognition technology started to emerge in the 1990s. The combination of machine learning and artificial intelligence (AI) approaches led to significant breakthroughs, including automatic facial recognition systems. In 1991, Geoffrey Hinton and his colleagues achieved a significant milestone in the development of AI-powered face identification by creating a neural network for facial recognition. With stronger algorithms, faster computers, and more datasets, AI face recognition technology advanced dramatically by the 2000s, giving rise to the real-time, incredibly accurate systems in use today.
When was Snapchat facial recognition invented?
In 2015, Snapchat introduced its facial recognition technology with the launch of its “Lenses” feature. By employing facial recognition technology to identify facial landmarks and monitor facial motions, this function enabled users to apply augmented reality (AR) effects to their faces.
Snapchat’s lenses became a distinguishing feature, allowing users to experiment with dynamic filters, including applying different animation effects, changing facial emotions, and applying virtual makeup. As Snapchat improved its facial recognition skills over time, the technology changed.
Read More:
