Difference between pages "BPI Z-Wave Gateway IoT module" and "BPI-AI-Voice (Microsemi)"

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(→‎Resources)
 
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=Introduction=
 
=Introduction=
  
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[[File:Z-wave_gateway_1.JPG ‎|thumb|Overview:BPI Z-wave gateway IoT]]
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[[File:Microsemi_6.JPG|thumb|Overview]]
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[[File:Z-wave_gateway_9.JPG|thumb|Overview:BPI  Z-wave gateway IoT front and back]]
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[[File:Microsemi_1.JPG|thumb|Overview:front]]
 +
[[File:Microsemi_3.JPG|thumb|Overview:back]]
  
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BPI Z-wave gateway IoT module use Sigma ZM5304 Z-Wave® Serial Interface Module with Antenna design.
+
Banana Pi BPI-AI-Voice(Microsemi) module for speech recognition,Now you can use it on Raspberry pi with amazon AVS, same as Microsemi AcuEdge™ Development Kit
 +
 
 +
BPI-AI-Voice (Microsemi) development kit
 +
 
 +
*Tested and approved by Amazon for
 +
 
 +
::— microphone solution for both 180o & 360o audio pick-up
 +
 
 +
*Amazon ecosystem
 +
 
 +
::—Reference code implements complete Echo functionality
 +
 
 +
::—Provides developer access to Alexa Skills
 +
 
 +
*Provides a fast and easy way method of evaluating Microsemi’s Automatic Speech Recognition Assist audio enhancement solution with Amazon’s AVS
 +
 
 +
*Fast Prototyping
 +
 
 +
::—Application development platform
 +
 
 +
::—HW prototyping
 +
 
 +
*Training Tool
  
 
== Key Features ==
 
== Key Features ==
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*Provides connection via Z-Wave serial API interface
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*Supports 2 or 3 microphones linear or triangular array placement for enhanced audio pick up
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*UART, USB full-speed device connection
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*Audio barge-in
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*Firmware upgrade using UART or USB
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*Supports 360o sound location estimation
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*Helical antenna on-board
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*Noise reduction
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*Hardware AES 128 security engine
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*Smart automatic gain control (AGC)
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*2µA sleep mode
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*Dereveberation
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*9.6/40/100 kbit/s data rates
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*Two way communication
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*Regional modules for 868/908/921 MHz
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*Hardware-assisted frequency agility with up to 3 channels
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=Hardware=
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*Battery monitor and built-in supply regulators
+
 
 +
Designed for world-class voice front-end applications, Microsemi’s new ZL38063 audio processor features the company’s AcuEdge™ technology. This innovative technology is a set of highly-complex and integrated algorithms that significantly improves automatic speech recognition (ASR) for both embedded and cloud-based ASR solutions. The ZL38063 delivers audio enhancements that perform noise reduction and smart automatic gain control (AGC), enabling speech recognition at distance in noisy, real-world conditions.
 +
 
 +
[[File:Microsemi_AI_1.png]]
 +
 
 +
==Application Examples==
 +
*IoT Sensor
 +
*Set Top Box
 +
*Smart Gateway
 +
*Smart Lighting
 +
*Smart Speaker
 +
*Smart Thermostat
 +
 
 +
== Hardware Spec==
 +
 
 +
== GPIO Pin define ==
 +
 
 +
=Software=
 +
 
 +
==Building Your Alexa AVS Smart Speaker Prototype==
 +
 
 +
Microsemi's Amazon Alexa development kit is designed to help developers quickly and easily set up prototypes that demonstrate a high quality voice recognition interface. It comes complete with all the building blocks to help developers build their smart speaker prototypes.now ,we just design this AI board ,not test on banana pi SBC ,this project with Amazon and Microsemi just support raspberry pi 3.
  
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==About ZM5304==
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[[File:Microsemi_AI_2.png]]
  
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The ZM5304 serial interface module with antenna takes the RF design effort out of Z-Wave. Designed for easy integration and fast time-to-market, it is ideal in applications such as TVs, set-top boxes, and gateways.
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==Development Kit Technology Segmentation==
  
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The ZM5304 is a fully self-contained module that includes a Z-Wave modem and built-in antenna. The module comes with full FCC modular approval and is pre-scanned for CE approval, making hardware intergration and approval very simple. The ZM5304 provides hardware-assisted frequency agility, enabling the module to switch away from a noisy channel without communication or software overhead.
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[[File:图片1.png]]
  
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The ZM5304 module exposes the well-documented and proven Z-Wave Serial API via USB or UART. As new Serial API features become available, the ZM5304 firmware can be upgraded using the UART or USB ports, eliminating the need to replace hardware. Existing products that use the Z-Wave Serial API can be upgraded to the ZM5304 module without having to re-write their interface software.
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==Supporting the Amazon AVS Ecosystem==
  
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The ZM5304 continues to build on the Z-Wave ten-year track record of backward-compatibility, enabling all generations of Z-Wave to communicate seamlessly in a Z-Wave network.
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Developers can use Microsemi's Amazon Alexa development kit to build customer solutions for Internet of Things (IoT), smart home and industrial applications.
  
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ZM5304 Z-Wave® Serial Interface Module with Antenna module comparison table:
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[[File:Microsemi_AI_3.png]]
  
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[[File:Zm5304.png]]
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==amazon AVS project==
 +
*Microsemi website project: https://www.microsemi.com/product-directory/connected-home/4628-zlk38avs#overview
 +
*Microsemi wiki : https://github.com/Microsemi/ZLK38AVS/wiki
 +
*amazon AVS project:https://developer.amazon.com/alexa-voice-service/dev-kits/microsemi-acuedge/
  
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= Documentation=
+
=Resources=
 +
*Learn More from Microsemi : https://www.microsemi.com/product-directory/connected-home/4628-zlk38avs#overview
 +
*BPI-AI-Voice(Microsemi) document:https://drive.google.com/open?id=0B_YnvHgh2rwjLTVpa3NnQno1LWs
 +
*Microsemi ZLE38AVS2 Hardware User_Guide :　https://github.com/Microsemi/ZLK38AVS/blob/master/docs/Microsemi_ZLE38AVS2_Hardware_User_Guide.pdf
 +
*Microsemi ZLK38AVS2 Quickstart : https://github.com/Microsemi/ZLK38AVS/blob/master/docs/Microsemi_ZLK38AVS2_Quickstart.pdf
 +
*source code on github: https://github.com/Microsemi/ZLK38AVS/wiki/howto
 +
*Banana Pi BPI-AI-Voice Alexa Voice demo : https://www.youtube.com/watch?v=jD95MZLYdRU&feature=youtu.be
 +
*[https://pt.aliexpress.com/store/product/Bananeira-Pi-BPI-AI-Voz-Microsemi-m-dulo-de-reconhecimento-de-fala/302756_32860708533.html?spm=a2g03.12010612.0.0.15997559bxCsAz easy to buy sample from aliexpress]

Revision as of 03:10, 28 May 2018

Introduction

Overview
Overview:front
Overview:back

Banana Pi BPI-AI-Voice(Microsemi) module for speech recognition,Now you can use it on Raspberry pi with amazon AVS, same as Microsemi AcuEdge™ Development Kit

BPI-AI-Voice (Microsemi) development kit

  • Tested and approved by Amazon for
— microphone solution for both 180o & 360o audio pick-up
  • Amazon ecosystem
—Reference code implements complete Echo functionality
—Provides developer access to Alexa Skills
  • Provides a fast and easy way method of evaluating Microsemi’s Automatic Speech Recognition Assist audio enhancement solution with Amazon’s AVS
  • Fast Prototyping
—Application development platform
—HW prototyping
  • Training Tool

Key Features

  • Supports 2 or 3 microphones linear or triangular array placement for enhanced audio pick up
  • Audio barge-in
  • Supports 360o sound location estimation
  • Noise reduction
  • Smart automatic gain control (AGC)
  • Dereveberation
  • Two way communication

Hardware

Designed for world-class voice front-end applications, Microsemi’s new ZL38063 audio processor features the company’s AcuEdge™ technology. This innovative technology is a set of highly-complex and integrated algorithms that significantly improves automatic speech recognition (ASR) for both embedded and cloud-based ASR solutions. The ZL38063 delivers audio enhancements that perform noise reduction and smart automatic gain control (AGC), enabling speech recognition at distance in noisy, real-world conditions.

Microsemi AI 1.png

Application Examples

  • IoT Sensor
  • Set Top Box
  • Smart Gateway
  • Smart Lighting
  • Smart Speaker
  • Smart Thermostat

Hardware Spec

GPIO Pin define

Software

Building Your Alexa AVS Smart Speaker Prototype

Microsemi's Amazon Alexa development kit is designed to help developers quickly and easily set up prototypes that demonstrate a high quality voice recognition interface. It comes complete with all the building blocks to help developers build their smart speaker prototypes.now ,we just design this AI board ,not test on banana pi SBC ,this project with Amazon and Microsemi just support raspberry pi 3.

Microsemi AI 2.png

Development Kit Technology Segmentation

图片1.png

Supporting the Amazon AVS Ecosystem

Developers can use Microsemi's Amazon Alexa development kit to build customer solutions for Internet of Things (IoT), smart home and industrial applications.

Microsemi AI 3.png

amazon AVS project

Resources

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