NXP Semiconductors i.MX RT117F crossover processors

Mouser Electronics, Inc., has launched the i.MX RT117F crossover processors from NXP Semiconductors. Expanding on NXP’s EdgeReady portfolio, the i.MX RT117F crossover processors offer an embedded, secure 3D facial recognition solution. This innovative solution enables developers of smart locks and other access control systems to add machine learning-based secure facial recognition capabilities to smart homes and smart Industrial Internet of Things (IIoT)-based applications utilising NXP’s eIQ machine learning software.

The crossover processors feature advanced implementation of the Arm Cortex-M7 CPU core with 2 MB of on-chip SRAM, running at up to 1 GHz to provide higher performance, faster, more accurate facial recognition and improved power efficiency. Along with its dual-core processing and security features, the crossover processor also provides a 2D graphics processing unit (GPU), two Gigabit Ethernet ports (and one 10/100 port), two High-Speed USB OTG with PHY, and support for an MIPI display and camera. The combined solution of the crossover processor, with a high-performance 3D structured light module (SLM) camera, helps deliver the performance and security of 3D facial recognition at the edge, addressing privacy concerns and eliminating latency typically associated with cloud-based alternatives.

The crossover processor also includes a licence to run NXP’s facial biometric authentication library. The library features camera drivers, image capture and pre-processing tools, face detection, tracking, alignment and recognition tools, wireless drivers, automation scripts and more.

To complement the crossover processors for development, Mouser also stocks the SLN-VIZN3D-IOT development kit. The kit implements an onboard i.MX RT117F processor for secure facial recognition with 3D liveness detection and features fully integrated turnkey software for out-of-the-box operation. The kit also includes an available remote registration capability to allow end users to register their faces from mobile devices.