IEEE 2945-2023

IEEE 2945-2023 is a technical standard for face recognition, providing requirements that help define how such systems should be designed, evaluated, and applied in computing and processing environments. It is relevant to organizations that need clearer technical expectations for face recognition performance, consistency, and implementation. By setting a formal basis for requirements, the standard supports more disciplined development, testing, and procurement decisions for systems that rely on facial identification or verification.

IEEE 2945-2023 overview

This standard focuses on technical requirements for face recognition, making it a useful reference for system designers, integrators, and evaluators working in computing and processing. IEEE 2945-2023 can help frame what should be considered when specifying recognition behavior, system capabilities, and performance-related expectations. In practice, it is most valuable where face recognition must be assessed against a defined technical basis rather than handled as an informal feature. The document supports more consistent interpretation across development and review activities.

Typical use cases

IEEE 2945-2023 may be used when specifying or reviewing face recognition software, biometric processing modules, or identity verification workflows. It is relevant to projects that compare algorithm performance, establish acceptance criteria, or document technical requirements for facial recognition functions. Typical use cases may include access control systems, secure authentication workflows, and other computing applications where face-based identification must be evaluated in a structured way. It is also useful during procurement when technical requirements need to be stated clearly.

Why this standard matters

Face recognition systems can vary widely in how they are built and assessed, so IEEE 2945-2023 matters because it helps anchor technical expectations in a recognized standard. That can improve consistency across design, testing, and procurement, while reducing ambiguity in system requirements. For organizations using biometric technologies, a defined standard may support better comparison of products, clearer documentation, and more reliable evaluation of performance claims. It also helps teams manage implementation risk in sensitive computing environments.

• Technical requirements for face recognition
• Computing and processing context
• System evaluation and testing reference
• Support for procurement specifications
• Consistency in biometric implementations