WE-I Plus EVB 電路板

WE-I Plus EVB 電路板(40mmx40mm)提供彈性的影像、語音、PIR和環境類比感測器融合接口，及多樣串列控制周邊介面與 SoC 連接。它是業界領先的超低功耗和最佳性能的平台，非常適合蓬勃發展的各種 AIoT 應用需求

SDK 和文檔

Contact Himax for EVK, SDK and User Guide

Himax 的 WE-I Plus EVB / Endpoint AI Development Board

Himax 的 WE-1 Plus EVB 電路板是依據 TensorFlow Lite for Microcontrollers 應用目標的最佳化設計方案，它使用一片 40mmx27mm 電路板整合 AoS™ VGA 感測器、L/R 立體麥克風、三軸加速計及 USB 與 SPI/I2C/UART 橋接器等完整功能。Himax 的 WE-I Plus EVB 電路板是業界在 TensorFlow Lite for Microcontrollers 應用目標的最佳領先超低功耗及效能的解決方案。

參考資料 – TensorFlow Lite for Microcontrollers

• TensorFlow Lite for Microcontrollers (TFLu)

  https://www.tensorflow.org/lite/microcontrollers

• TensorFlow Lite for Microcontrollers Person Detection Example

  https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/person_detection/README.md

• TensorFlow Lite for Microcontrollers Person Detection Example Codes

  https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/person_detection

• TensorFlow Lite for Microcontrollers Person Detection Example

  https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/person_detection/README.md

• TensorFlow Lite for Microcontrollers Hello World Example

  https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/hello_world/README.md

• TensorFlow Lite for Microcontrollers Micro Speech Example

  https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/micro_speech/README.md

• TensorFlow Lite for Microcontrollers Magic Wand Example

  https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/examples/magic_wand/README.md

參考資料 – Edge Impulse

• Edge Impulse x Himax WE-I Plus tutorial

  https://www.edgeimpulse.com/blog/himax-wei-plus
  https://www.youtube.com/watch?v=P6S4cgaSpVA&t=10s

參考資料 – Himax GitHub

• https://github.com/HimaxWiseEyePlus/himax_tflm

Synopsys Eval Portal – 線上即刻申請 Metaware 30 天許可證

參考資料 – Synopsys ARC

• Install the Synopsys DesignWare ARC MetaWare Development Toolkit

  https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/micro/tools/make/targets/arc/README.md#install-the-synopsys-designware-arc-metaware-development-toolkits

• Synopsys embARC MLI Library

  https://github.com/foss-for-synopsys-dwc-arc-processors/embarc_mli