Israeli identity solutions firm FST Biometrics is set to reveal strategic elements of a new biometric visual identification solution at an upcoming trade show.FST Biometrics noted in a statement today that the new system incorporates deep learning to enhance flexibility, accuracy, fraud prevention and user experience.Called IMID Access 4.0 and commercially available this month, the system uses a fusion of biometrics-based technologies for a robust list of identification-oriented applications, including access control, employee time-and-attendance and retail consumer experience.”The customer relationships we've developed with our existing visual identification platform have helped us to take our technology to a new level. We believe 4.0 will be the global standard for visual identification solutions,” said Arie Melamed, chief marketing officer of FST biometrics. “Adding deep learning algorithms to our product offerings will mean unparalleled accuracy, application flexibility and a seamless experience for customers and users alike.”The firm noted that utilizing FST's visual identification technology, IMID Access can be implemented in low light environments, is equipped to overcome fraud attempts and employs long-term enrollment.The new version enhanced features include the ability to meet limited environmental constraints – Users can be identified in-motion in as low as 50 lux of light.In terms of fraud prevention, IMID 4.0 has built-in fraud detection capabilities that prevent attempts of using pictures. An unauthorized user cannot gain access by presenting a still photo of an authorized user as his/her own face.The company added in its release today that the solution “resolves the industry challenge of face template aging after an average of six years as addressed by University of Michigan research”. See this link for details.FST Biometrics will be showcasing this new generation of visual identification technology at ISC West (Booth #24103) in Las Vegas, April 5-7
FST Biometrics to reveal biometrics-based visual identification solution
