NXP EdgeReady Smart HMI Solution (SLN-TLHMI-IOT) with i.MX RT117H MCU

Accelerate AI-powered HMI with NXP’s SLN-TLHMI-IOT kit, combining vision, voice, and GUI on the high-performance i.MX RT117H crossover MCU.

The SLN-TLHMI-IOT development kit implements NXP’s EdgeReady turnkey solution for smart human machine interface (HMI) projects. A high-performance member of the i.MX RT1170 microcontroller (MCU) family enables this solution. It runs on a real-time operating system (RTOS) under dual-core architecture. One is Arm Cortex-M7 at 1 GHz clock rates and the other is Cortex-M4 at 400 MHz, with 2 MB on-chip SRAM. The smart HMI solution provides OEMs with a fully integrated, self-contained, software, and hardware turnkey solution. It includes cross-platform framework, pre-integrated machine learning vision, voice algorithm, a 2D graphics accelerator supported by light and versatile graphics library (LVGL). The SLN-TLHMI-IOT also includes required drivers for all necessary peripherals, including memories, cameras, mics, speaker, display, and Wi-Fi + Bluetooth Low Energy combo chipset. A runtime license to this software solution is bundled with the i.MX RT117H-numbered devices in the i.MX RT1170 family.

The solution enables developers to implement multimodal smart interactions with machine learning (ML) vision (face and gesture recognition), far-field voice control, and 2D graphical user interface on their products. This functionality can be enabled by using only a single high-performance NXP crossover MCU, simplifying the overall system design. NXP’s cross-platform dualcore framework architecture empowers designers with the flexibility to customize their products, making i.MX RT117H a versatile fit for numerous smart HMI applications. These applications include but are not limited to both consumer and industrial applications.

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Kit Contents

A packing list paper
Fully assembled TLHMI kit
USB-C cable

Features

High integration
- Turn-key solution enabling smart HMI with ML/AI vision, voice and graphical UI capabilities on a single MCU to simplify overall system design and optimize system BOM.
Flexibility
- Software framework to support flexible designs & customization of vision and voice functions, utilize a combination of these features to support versatile use-cases.
Privacy & low latency
- All the ML/AI vision, voice engines are performed entirely offline, eliminating the need for the cloud as well as the privacy and latency concerns that come with it.