BitCAD, an international project on developing cryptographically encrypted smart platforms, announced that it is developing a decentralized solution for biometric identification.
The decentralized solution curbs the barriers and problems of existing methods for biometric identification that includes working with fingerprints, iris, facial recognition, retina, veins pattern in a hand, and geometrical features of palms. These centralized biometric system faces problems that are elated either to underdevelopment of solutions either to market oversaturation.
The announcement said that a decentralized system working on par with them while securing sensitive data better than them might be exactly what the market actually needs.
“Our response time is comparable to the best centralized solutions like Fujitsu PalmSecure,” Vladislav Mitrofanov, founder and CEO of BitCAD, said. “And the device is the size of a hardware wallet like LedgerNano. Our computation methods use less resources, while location and determination of your ID data is fast and precise.”
Although decentralized architecture of databases when applied to processing biometric data might actually be slower than its centralized counterparts, BitCAD claims that they have solved the problem by securing data with blockchain.
The company is planning to use quantum encryption of biometric data in the distributed database in order to add another layer of security. The data will be stored in a decentralized way and remain accessible only to the database’s creator, after it is encrypted. BitCAD’s solution guarantees a 99.99999 per cent accuracy while avoiding the problems inherent in classic systems.
Mitrofanov stated that other features of the solution include simultaneous recognition of thousands users, which is hardly attainable in case of most classic solutions.
