Eyecool has created a unified platform for multi-modal biometric identity verification using their self-developed underlying algorithms for fingerprint, face, iris, finger vein, and more. Their platform ensures reliable and accurate user identity verification. The Eyecool algorithm and data management system provide functionality such as multi-modal data perception, multidimensional data calculation, and intelligent feedback decision-making for improved data security sharing. The platform is perfect for enhancing security risk prevention, intelligent identification analysis, and identity verification services in diverse computer network application systems.
Relying on the multimodal algorithm capabilities of Eyecool Technology, ABIS provides unified platform level identification services, and billion-level database scenario, which enables rapid and accurate identification.
2. ALGORITHM FUSION
Compatible with third-party algorithms, it has the ability to deeply integrate multimodal algorithms for data, feature, and decision fusion, greatly improving recognition accuracy and experience friendliness.
3. STANDARD & OPEN
The platform adopts a standard open architecture design, providing multiple standard interfaces, and achieving flexible customized development and business system docking capabilities; It supports rapid standardized integration with third-party algorithm services.
4. ENCRYPTION & SAFETY
Store and transmit key data with encryption verification and access control. User's original sensitive data is not stored, ensuring information confidentiality, integrity, and controllable access compliance.
5. EFFICIENT & SCALABLE
The platform adopts a highly efficient and scalable cloud-edge collaborative AI computing architecture based on cloud native, targeting various large-scale application scenarios, completing a flexible combination of layered capabilities and service modules, supporting DevOps' continuous delivery capabilities, and ensuring that operation and maintenance are visible, manageable, and controllable.