D-ID launches face recognition disruption software
11 September 2018 17:12 GMT

D-ID has officially announced its initial product launch of a solution that protects photos and videos of organizations from face recognition, while keeping them similar to the human eye.

The company's approach to digitally manipulating images renders images unreadable by the machine learning tools that are used to identify an individual, but are imperceptible to the human eye.

Launched at Techcrunch, the firm says the initial verticals for D-ID include cloud storage providers, social networks, financial institutions, health management organizations and governments that want to protect their biometric databases.

D-ID's first customer is Cloudinary, an image and video management solution which helps more than 350K companies manage, optimize and deliver more than 22B media assets. The company has also signed significant agreements with customers in the financial services and automotive industry.

"Our photos contain biometric data. Using them with face recognition, anyone can track you, hack your devices and steal your identity. That's why our photos must be protected," says Gil Perry, CEO and Co-Founder of D-ID. "We've moved too fast with face recognition and it is now a threat to our fundamental human right to privacy."

Data privacy regulations like the European Union's General Data Protection Regulation (GDPR), which became enforceable in May 2018 address face images as personal sensitive information and require companies to protects this data or risk heavy fines and lawsuits.

D-ID enables companies to comply with regulations, prevent crippling fines, strengthen their consumers' trust and most important, to guarantee privacy and data protection. "People are aware and concerned about the security risks of face recognition. Now is the time to protect this data and we are here to make sure it happens," says Perry.

 "We use advanced image processing and deep learning to process the photo or video in such a way that it will look similar to the human eye but machines, AI, face recognition classifiers will not be able to recognize the individual," says Perry.

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