NXP SLN-VIZNAS-IOT Solution for Face Recognition | Featured Product Spotlight
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NXP SLN-VIZNAS-IOT Solution for Face Recognition
NXP Semiconductors’ SLN-VIZNAS-IOT Kit is a turnkey EdgeReady development kit for secure, offline face recognition based on the i.MX RT106F crossover processover.
The i.MX RT106F features a 600MHz Arm® Cortex®-M7 core for fast response, and the MCU-based implementation reduces BOM cost by more than 50% compared to MPU-based designs, while requiring as little as 16MB of Flash and 8MB of SDRAM. The kit includes Dual RGB+IR cameras based on inexpensive CMOS sensors, providing low-cost and low-power liveness detection to prevent spoofing, such as with a photo of a person’s face. This also enables operation in dark environments, with on-board white and IR LEDs.
Faces can be registered locally on the kit or remotely on a PC or mobile device and then uploaded to the kit, with the kit able to recognize a face from a database of up to 3,000 faces. For connectivity it has a USB-C port, a Wi-Fi and BLE module, and an ethernet controller. The camera feed can be viewed over USB-C, or users can add an LCD display. The entire design measures just 30mm x 40mm.
NXP also provides a fully integrated turnkey software package to get users up and running quickly. The software package includes example code plus a FreeRTOS build, drivers, and image processing libraries. It also includes the VIZNAS SDK, with NXP’s OASIS LITE Machine Learning Vision Engine, enabling edge-based offline face recognition and eliminating the privacy concerns of cloud-based image processing. The kit is fully supported by NXP’s MCUXpresso tools and is available within the MCUXpresso SDK. For more information on how to get started with NXP’s SLN-VIZNAS-IOT Kit and all of its capabilities, visit Mouser.com.
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