Mobile technology has contributed to identity theft being the top white collar crime in the world and yet existing authentication methods such as passwords and biometrics have failed to counter this. Seeing the gap some of Africa’s leading computervision scientists at the University of Johannesburg in partnership with business developed a world first technology, code-named aiDX, at aiThenticate Computervision Labs to answer one of the most difficult, challenging and urgent questions of our time: “Who is someone actually?”.
André L Immelman, CEO of aiThenticate Computervision Labs, reckons the lab comprising of 16 computervision scientists could develop into the world’s next Google.
The technology due to go to market next month has been engineered as the next generation authentication technologies. It could be used by banks to identify customers and police to recognise criminals. Unlike conventional biometrics, such as fingerprints, faceprints, voiceprints and irisprints, which are all based on simple geometry: connecting key features to form a pattern that is then associated with a particular individual, aiThenticate Computervision Labs’s technology uses deep science to answer the “who is someone actually?”question, says Immelman.
aiThenticate Computervision Labs’ technology uses proprietary algorithms that simulate human cognition, its scientist have successfully managed to develop the next generation of authentication technologies, reckons Immelman.
“The human brain simply operates at a much deeper, far more advanced level than what is possible with conventional authentication methods. Extensive field tests have shown that, as the next generation authentication technology, aiDX eclipses, and in fact, surpasses the overall performance of conventional authentication methods by a factor of some 20x on average,” says Immelman.
Moreover, as an optimetric technology, aiDX can be deployed on any device that’s equipped with a digital camera, including standard, off-the-shelf Android or iOS smartphone or tablet, adds Immelman.
