Built For Edge AI Applications
Targeted to satisfy diverse applications demanding a robust and compact computing POE edge AI embedded board for industrial machine learning, embedded vision and inferencing, the board is based on NXP application processors with 10+ year longevity support, built-in reliable communication interfaces like RS-485, RS-232 and M.2 slot for support of TPU, VPU accelerator modules like Google Coral Edge TPU and others.
PoE Power Module
Provides on-board Power over Ethernet (PoE) IEEE 802.3af standards power input via RJ45 Ethernet port for the board and system to make installing or large roll-out much simpler and cheaper
Single Point Touch Screen Connector
Integrates 4-lane MIPI DSI, dual Channel LVDS, RGB, power, backlight control and touch panel interface all in one FPC connector to give developers fast, convenient and simplified solutions for industrial and embedded POE touch panel PC applications.
The EMB-2237-AI POE edge AI embedded board takes the advantage of the latest NXP i.MX8MM application processors with scalable computing platforms and 15 years long life cycle support. It is designed to support Edge TPU, VPU machine learning accelerator modules and provides a solid base for your edge AI computer designs in areas like Human Machine Interface (HMI), voice control, machine vision, building automation and industrial AI.
On-Board Voice Control Support
Built-in smart codec with dual-core DSP that runs algorithms for voice control, omni-directional spatial, noise suppression, and acoustic echo cancellation (AEC). Linux supports for Amazon AVS (Alexa Voice Service) Device SDK and Sensory TrulyHandsfree Wake Word Engine. Additional 8 channel digital audio/DMIC inputs (SAI5) for MIC array is also available via 40-pin expansion header.