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SLN-VIZN3D-IOT Developer Guide

MCU-Based Offline Face Recognition with 3D Liveness Capabilities

Low Latency Under 1 second response timesTurnkey SolutionEasy integration into any applicationLow BOM CostReduced by over 50% compared to MPU designsCompact DesignSmall footprint fits residential and commercial smart locksSecure AuthenticationLiveness detection resists 2D and 3D spoofing attacks

Overview

NXP’s EdgeReady MCU-based solution for 3D face recognition leverages the i.MX RT117F crossover MCU, enabling developers to quickly and easily add 3D face recognition with advanced liveness detection to their products, with the confidence that it will work in even the most challenging outdoor lighting conditions and can resist the most sophisticated spoofing attacks. 3D liveness detection defeats spoofing attempts using photographs or 3D models, and uses a high performance 3D structured light camera module (SLM) with an optional low-cost CMOS sensor-based RGB camera, without requiring the use an expensive, power hungry, Linux-based MPU with long boot times. The development kit for this solution, SLN-VIZN3D-IOT, comes with fully integrated turnkey software, for quick out-of-the-box operation, minimizing time to market, risk and development effort. Face recognition and liveness detection are done entirely offline, on the i.MX RT117F MCU, without using the cloud, addressing the privacy concerns of some consumers and eliminating the latency associated with cloud-based implementations. The solution includes an available remote registration capability to allow end users to register their faces from mobile devices.