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SLN-VIZNAS-IOT User Guide, Rev. 1.1, 10/2020
NXP Semiconductors
1 Introduction
NXP
’s MCU-based SLN-VIZNAS-IOT development kit provides OEMs with a fully
integrated, self-contained, software and hardware solution. This includes the i.MX
RT106F run-time library and pre-integrated machine learning face recognition algorithms,
as well as all required drivers for peripherals, such as camera and memories.
This cost-effective, easy-to-use face recognition implementation facilitates the demand
for a face-based
“Friction Free Interface” that can be embedded in a variety of products
across home, commercial and industrial applications, thus eliminating the need to use
hard to learn and time-consuming mechanisms to identify users.
TARGET APPLICATIONS
•
Safety/Security/Alarm devices:
E-locks, Alarm panels, remote sensors, and
automated access
•
Smart appliances:
Washing machines, dryers, ovens, refrigerators, stoves, and
dishwashers
•
Home comfort devices
: Thermostats, remote temperature sensors, and lighting
•
Counter-top appliances:
Microwaves, coffee machines, rice cookers, and
blenders
•
Smart industrial devices:
Power tools, ergonomic stations, machine access and
authorization
1.1 RT106F VISION CROSSOVER PROCESSOR OVERVIEW
The i.MX RT106F is an EdgeReady member of the i.MX RT1060 family of crossover
processors, targeting low cost embedded face recognition applications. It features NXPs
advanced implementation of the Arm® Cortex®-M7 core, which operates at speeds up to
600 MHz to provide high CPU performance and best real-time responses. This i.MX
RT106F-based solution enables system designers to easily and inexpensively add face
recognition capabilities to a wide variety of smart appliances, smart homes, and smart
industrial devices. The i.MX RT106F processor is licensed to run NXPs i.MX RT run-time
library for face recognition which may include:
•
Camera drivers
•
Image capture
•
Image pre-processing
•
Face alignment
•
Face tracking
•
Face detection
•
Face recognition
•
Liveness Detection
•
Emotion recognition