British market researchers: Blockchain drives intelligent face recognition

According to a report by the British market researchers Frost & Sullivan, distributed ledger technologies play a crucial role in the development of intelligent facial recognition. Under the influence of new technologies such as blockchain, the market for biometric software could more than double in the coming years. Meanwhile, critics are warning of the advance of artificial intelligence.

Whether it’s online banking, the fingerprint on a mobile phone or, more recently, voice recognition, intelligent identity detection systems are becoming increasingly commonplace in everyday life. According to experts, artificial intelligence will play a more important role in the future, especially in the biometric face recognition, as they are known from the passport photo.

In managing such credentials, blockchain technologies may prove to be a key driver in the future. This is the conclusion of the latest report by the British market researchers Frost & Sullivan.While the European economy is growing particularly in the digital, the demand for biometric authentication is also increasing. This interface in turn can operate blockchain technologies, the consultants are sure.

By integrating distributed technologies, artificial intelligence or machine learning, Forst & Sullivan believes the market for smart face recognition could more than double by 2023 to a total value of up to € 10.25 billion. For example, especially in the healthcare or financial sector, the need for face, voice or iris recognition software could increase.

Critics warn: Artificial intelligence opens the door for hackers

However, observers see not only good things in the advance of artificial intelligence. Researchers at Stanford, Yale, Oxford and Tohoku universities, as well as developers at Microsoft and Google, warn that automated facial recognition software could easily succumb to so-called deep-fake technology. These allow users to incorporate familiar faces with believable facial expressions into, for example, videos or pictures.

In doing so, the researchers not only consider the political explosiveness of such counterfeits. Above all, they point to the possibilities for hackers who could easily ignore the barriers of face recognition software. Above all, AI-operated systems that control no human eye could prove to be very vulnerable. Artificial intelligence would play itself out like this.