Innovatrics offers industry-leading biometric SDKs designed to enable hardware manufacturers and solution developers to seamlessly integrate reliable, high-performance biometric identification into their devices and applications. These modular and scalable SDKs feature low memory requirements, can be easily combined for specific use cases, and come with flexible licensing options. The underlying algorithms for fingerprint, facial, and iris identification are consistently top-ranked in NIST benchmarks, ensuring superior accuracy and performance. Innovatrics simplifies integration through comprehensive documentation, case-specific samples, and dedicated customer support.

The technology is optimized for edge computing, allowing solutions to run fully offline, thereby keeping server costs and hardware requirements low. It is also hardware agnostic, supporting various sensors, cameras, operating systems, and platforms. Key capabilities include facial recognition for matching faces against databases or watchlists, high-precision iris recognition, advanced liveness detection to prevent identity fraud, rapid and accurate fingerprint detection and matching, and secure palm recognition. Additional features include age estimation for compliance with age-restriction policies and camera stream processing for real-time facial data analysis on the edge. The SDKs support ANSI and ISO biometric standards, ensuring compliance and interoperability for global deployments and regulated environments across various industries.

Features & Benefits

• Modular & Scalable SDKs: Offers low memory requirements, easy combination for specific use cases, and flexible licensing to fit product needs and scale with business models.
• Industry-Leading Biometric Algorithms: Leverages top-ranked algorithms for fingerprint, facial, and iris identification, consistently recognized in NIST benchmarks for accuracy and interoperability.
• Easy & Hardware-Agnostic Integration: Provides comprehensive documentation, case-specific samples, and customer support, along with sensor and camera independence for quick integration across diverse hardware platforms and operating systems.
• Edge Computing Capability: Enables solutions to run fully offline on edge devices, reducing server costs and hardware requirements while ensuring low latency.
• Comprehensive Biometric Modalities: Includes Facial Recognition, Iris Recognition, Liveness Detection, Fingerprint Recognition, Palm Recognition, Age Estimation, and Camera Stream Processing.