WE-I Plus EVB & SDK are ready NOW!
WE-I Plus Evaluation Board
WE-I Plus evaluation board with dimensions of 40x40mm is designed for sensor fusion application that bring inputs from multiple sensors together for the purpose of producing a model that provides more accurate results comparing to use individual inputs. It is the industry-leading ultralow power platform with best performance that fosters blooming AIoT applications.
SDK & Documents
Contact Himax for EVK, SDK and User Guide
| Part No. | Data Sheet | Hardware User Guide | Application Note | Program Guide |
|---|---|---|---|---|
| HX6537-A | V | V | V | V |
| HX6539-A | V | V | V | V |
| HX6540-A | V | X | V | V |
Himax WE-I Plus Endpoint AI Development Board
This new compact WE-I Plus development board is optimized for TinyML model deployment under Google TensorFlow Lite for Microcontrollers framework, and it integrates AoS™ VGA camera, L/R microphones, 3-axis accelerometer, and USB to SPI/I2C/UART bridge into one board with 40mmx27mm dimension. Developers now get easy access to Himax’s leading technologies with WE-I Plus EVB available at the SparkFun online retail store for Endpoint AI system development, ultimately enabling the innovation of life-changing use cases.
Complete software library with tool chains (SDK) are supported for the efficient implementation of machine learning technology for processing captured sensing big data from image, voice and ambient sensors.
SDK can be downloaded from https://github.com/HimaxWiseEyePlus/himax_tflm
API description can be found in the SDK header file
https://github.com/HimaxWiseEyePlus/himax_tflm/tree/master/tensorflow/lite/micro/examples
Board user guide
https://github.com/HimaxWiseEyePlus/bsp_tflu/tree/master/HIMAX_WE1_EVB_user_guide
Board brief
https://github.com/HimaxWiseEyePlus/bsp_tflu/tree/master/HIMAX_WE1_EVB_board_brief
Webinar https://youtu.be/BH-KyQJQET0
Training
https://github.com/HimaxWiseEyePlus/Yolo-Fastest
Himax WiFi Eye Contact Board
WE-I Plus Evaluation Board can be used to capture and process image or voice recognition/classification at the edge and only send metadata, rather than the raw image/voice data, through wireless connectivity to the cloud or other edge computing servers to save bandwidth, reduce latency and protect privacy. For wireless connectivity, WE-I Plus WiFi Eye Contact Board has been built with ESP12-F WiFi module to help developers easily realize WiFi connectivity.
Himax AIoT Platform Board with NB-IoT (Himax-AIoT-NB-G2)
Himax-AIoT-NB-G2 development kit is equipped with the high-efficiency and ultralow power processor “WE-I Plus” and NB-IoT connectivity for battery-powered endpoint AI devices. With built-in support for TensorFlow Lite for Microcontrollers (TFLu) framework, WE-I Plus is facilitated for easy porting of tinyML models into WE-I Plus together with Azure RTOS to ease the barrier for developers to pass Azure PnP certification in a wide range of applications including smart retail, building, manufacturing, and agriculture.
Google TensorFlow Lite for Microcontrollers (TFLu)
https://www.tensorflow.org/lite/microcontrollers
TFLu Example Codes by Himax
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Person Detection
https://github.com/HimaxWiseEyePlus/himax_tflm/tree/master/examples/person_detection
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Handwriting
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Micro Speech
https://github.com/HimaxWiseEyePlus/himax_tflm/tree/master/examples/micro_speech
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Magic Wand
https://github.com/HimaxWiseEyePlus/himax_tflm/tree/master/examples/magic_wand
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Person Detection with bonding box
Metaware 30-Days License Application by Synopsys Eval Portal
Reference – Synopsys ARC
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Install the Synopsys DesignWare ARC MetaWare Development Toolkit
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Synopsys embARC MLI Library
https://github.com/foss-for-synopsys-dwc-arc-processors/embarc_mli