Unconditional face recognition.
Face recognition software
A UT doctoral candidate who spent years perfecting a facial recognition software, is now bringing the 20Face unconditional face recognition software to the market. “Our software recognizes the identity of people under bad or disguised circumstances, variations in poses, small image resolutions and even when a small part or a glimpse of a face is seen. Our goal is to develop the first global face identification as a cloud service,” says Tauseef Ali. He had developed a unique facial recognition algorithm that is not only accurate, but also very fast and can therefore be scanned in real time by a large audience.
Application in daily life
20Face currently focuses on applications in daily life and facial recognition as a cloud service. Such as remotely knowing who enters your home, giving access to your workplace, making a payment, operating machines from your workplace. Data is stored encrypted in the blockchain to ensure security and privacy. Face recognition is one of the key enabling technologies of the future. “This is truly a breakthrough with which we can make facial recognition mainstream, since our patented technology is extremely scalable, and can be made available to millions of people at low cost”.
Novel-T business developers assisted with the 20Face’s business development and helped shape the business plan, including legal and financial advice. Tauseef was also given guidance on the introducing of 20Face to the market as a new technology.
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