#aifacerecognition

[clarifaiinc]

AI Facial Recognition Software

Military-grade Facial Recognition Software is deployable in the cloud, on-premise, or at the edge. Clarifai's Face Recognition detects faces in images 100X faster.

[facechk]

Reasons why Face recognition biometric or AI face recognition is better than Fingerprint Scans

Face recognition biometric system that tracks the attendance of your employees in a contact-less, hygienic, and safe way.

[facechk]

Face recognition attendance system | Face recognition software | Gallery | Facechk

Facechk's Face recognition attendance system - 99.5%+ Recognition Accuracy, Access From Anywhere, Contactless, fast & accurate. Works online and offline both.

[facechk]

Join our team. We're looking for talented people who have applied experience in the fields of Machine Learning or AI Engineering profession.

[facechk]

FaceChk's Face recognition app provides Access Management, Attendance Management, Visitor Management, and Crowd Count & Monitoring. Face recognition software, Android face recognition, Face recognition biometric, AI face recognition

[premayogan]

Face Recognition is must

Facial recognition has to be regulated to protect the public, says AI report

The research institute AI Now has identified facial recognition as a key challenge for society and policymakers—but is it too late?

What AI Now Institute Reports?

A new report from the AI Now Institute (large PDF), an influential research institute based in New York, has just identified facial recognition as a key challenge for society and policymakers. The speed at which facial recognition has grown comes down to the rapid development of a type of machine learning known as deep learning. Deep learning uses large tangles of computations—very roughly analogous to the wiring in a biological brain—to recognize patterns in data. It is now able to carry out pattern recognition with jaw-dropping accuracy. The tasks that deep learning excels at include identifying objects, or indeed individual faces, in even poor-quality images and video.

Can it be tuned now?

The toothpaste is already out of the tube. Facial recognition is being adopted and deployed incredibly quickly. It’s used to unlock Apple’s latest iPhones and enable payments, while Facebook scans millions of photos every day to identify specific users. And just this week, Delta Airlines announced a new face-scanning check-in system at Atlanta’s airport. The US Secret Service is also developing a facial-recognition security system for the White House, according to a document highlighted by UCLA. “The role of AI in widespread surveillance has expanded immensely in the U.S., China, and many other countries worldwide,” the report says.

In fact, the technology has been adopted on an even grander scale in China. This often involves collaborations between private AI companies and government agencies. Police forces have used AI to identify criminals, and numerous reports suggest it is being used to track dissidents. Even if it is not being used in ethically dubious ways, the technology also comes with some inbuilt issues. For example, some facial-recognition systems have been shown to encode bias. The ACLU researchers demonstrated that a tool offered through Amazon’s cloud program is more likely to misidentify minorities like criminals. The speed at which facial recognition has grown comes down to the rapid development of a type of machine learning known as deep learning. Deep learning uses large tangles of computations—very roughly analogous to the wiring in a biological brain—to recognize patterns in data. It is now able to carry out pattern recognition with jaw-dropping accuracy. The tasks that deep learning excels at include identifying objects, or indeed individual faces, in even poor-quality images and video. Companies have rushed to adopt such tools.   Read the full article