Infinity Optics Lauded by Frost & Sullivan for Enriching Biometric Authentication Processes with its Novel QuantumCrypt Platform
Combining biometric hash and biometric cryptography technology, the QuantumCrypt™ platform is highly suited to cloud environments
SANTA CLARA, Calif., April 14, 2020 /CNW/ -- Based on its recent analysis of the global biometrics market, Frost & Sullivan recognizes Singapore-based Infinity Optics Solutions Pte Ltd (Infinity) with the 2020 Global New Product Innovation Award for bridging the gap between biometric and cryptography on a single platform, QuantumCrypt™. Infinity's one-of-a-kind platform eliminates the need to electronically store and add layers of encryption to end-users' biometric data in templates, which makes it cost-effective and highly secure for Internet of Things (IoT)-based applications.
"The QuantumCrypt platform allows iris, fingerprint, and 2D/3D facial images to generate biometric codes, also known as True Biometric Hash technology. These codes act as key management solutions, such as blockchain-based identity. Its technology for biometric cryptography enables easy verification of users at any given point during a transaction, which makes it more secure as the registration can be easily revoked if the data is found to be compromised," said Nandini Bhattacharya Industry Analyst. "The solution also ensures that the user identification process does not rely on stored biometric information, and is therefore not likely to be compromised."
QuantumCrypt™ is ideal for use within cloud-based biometric solutions and authentication processes. Infinity has already made significant progress in its iris biometric solution by developing depth-of-field (DOF) iris authentication technology. Its single lens technology can capture DOF images at a distance of between 150mm and 600mm in a single shot using a single element lens. Its technology combines custom optics and image processing capability to offer better performance, making extended DOF (EDOF) solutions highly convenient for IoT-based iris recognition systems.
Infinity has also developed QuantumCrypt modules for fingerprint, 2D face, iris recognition, and is working on other modalities such as 3D face recognition. Furthermore, Infinity's also has its proprietary Extended Depth of Field iris recognition algorithm which maps the random iris patterns and then generates a unique biometric code for identification. The technology, due to its superior hardware performance, provides an exceptional user experience by capturing high-quality EDOF images.
"Infinity has taken the biometrics industry forward by transforming the way biometric authentication has traditionally been achieved," noted Bhattacharya. "The EDOF technology by Infinity makes iris recognition solutions much more user friendly, thereby creating huge opportunities for mobile device-based applications where mobile phone cameras can be used for iris recognition. As Infinity is developing QuantumCrypt solutions for 2D and 3D facial recognition, it is expected to unlock the potential of facial recognition biometric solutions in mobile and IoT-based applications across numerous industries, smart homes, smart cities, and connected cars."
Each year, Frost & Sullivan presents this award to the company that has developed an innovative element in a product by leveraging leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased return on investment (ROI) it gives customers, which, in turn, raises customer acquisition and overall market penetration potential.
Frost & Sullivan Best Practices awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research to identify best practices in the industry.
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SOURCE Frost & Sullivan
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