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AI Facial Recognition and IP Surveillance for Smart Retail, Banking, and the Enterprise

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Facial Recognition technology detects faces in the camera's field of view and matches them against faces previously stored in a database. Anti-spoofing is provided through liveness testing without the need for a stereo or a 3D camera. Face Recognition technology is now taking a further step as it is being combined with IP surveillance. Gemalto, a part of the Thales Group and a company that focuses on Digital Identification and Data Protection in order to counter the two root causes of cyberattacks, identity theft, and unencrypted data, defines Facial Recognition as the process of identifying or verifying the identity of a person using their face. It is a technology that captures, analyzes, and compares patterns based on the person's facial details. The face detection process is a basic and essential step allowing the systems to detect and locate human faces in a set of images and videos.


AI for Retail and eCommerce in India – Challenges and Opportunities Emerj - Artificial Intelligence Research and Insight

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Episode Summary: It isn't by chance that birds fly in flocks and fish swim in schools - they're actually smarter when they act in a group. Could it be possible to extend that collective intelligence to human beings, and even AI? Louis Rosenberg is a PhD from Stanford, previously founder of Immersion and who now runs Unanimous AI, a company focusing on harnessing swarm intelligence with human beings. In this episode, Rosenberg speaks about how this collective-intelligence approach has been applied to human beings in terms of garnering improvements in a range of predictions, and he also touches on what this type of swarm intelligence might mean when we talk about multiple AI's in the future.