Leveraging Technology Into Manufacturing
Collective Talent Powering the Future of Work
Technology Infrastructure's Hidden Agenda-Data and Connectivity
Who Runs Retail? The Machines
The Machines will Stumble
Jason Arbon, Founder & CEO, AppDiff
Cognitive Automation and the Disruption of Business Services
Cliff Justice, Partner, Innovation & Enterprise Solutions, KPMG
Real-Time Operational Performance via the Internet of Things
Jordan Workman, Director of Client Development at Performance Solutions by Milliken
Harnessing the IoT to Drive Digital Transformation
Cara Sloman, Executive Vice President, Nadel Phelan, Inc.
Benefits of Integrating Biometrics and Computer Vision
Biometrics are automated methods of recognizing a person based on behavioral or physical characteristics. The identification includes methods as fingerprint technology, hand geometry, voice recognition, and retina analysis. Biometric recognition employs AI in a computer system to exact match an iris pattern or a fingerprint to a template on file.
Computer vision is concerned with extraction, analysis, and understanding of information from the image. The image data may take many forms as video sequences, views from multiple cameras, and multi-dimensional data from a medical scanner.
The face-based authentication system is no longer sufficient to match two static images. As identity is the new security perimeter, technologies should be the leading behavioral analytics platforms to prevent fraud, account takeover and provide the great user experience.
Artificial intelligence (AI) plays as an integral component of biometric technology and computer vision. Today faced-based authentication system demands additional AI boost to check signs for live-ness. Also, fingerprint scanning systems should be improved the algorithms to recognize end users’ biometric with more precision quickly.
The integration between biometrics and computer vision is linked with various applications as cybersecurity, services, and safety including facial recognition from a distance, intelligent video surveillance, biometrics for border control, 3D face modeling and recognition, forensic biometrics and finger vein recognition.
Facial recognition and computer vision technology in smartphones: AI-driven facial recognition and computer vision are integrated into smartphones, which enable the technologies to identify their users and settings and object where there are camera points.
Pairing computer vision with traditional facial recognition algorithms: Biometric surveillance hosted on facial recognition technology is important in the industry. Many companies are racing to offer solutions based on direct facial scanning with live video input feeds.
Biometrics and computer vision is spicing up with new financing and innovative development. The convergence will redefine security parameters in the industry and contribute to a new era in artificial intelligence.