RAK Wireless has launched a new development board powered by Mediatek MT7628A processor running OpenWrt with built-in WiFi and Ethernet connectivity, and audio codec and microphone to support Amazon Alexa voice service. Bluetooth, Zigbee, and Z-wave will also be supported via UART modules.
- Processor – Mediatek MT7628A MIPS24KEc CPU @ up to 580MHz
- System Memory – 128MB DDR2 (64 MB optional)
- Storage – 16 MB flash + micro SD card
- MicroSemi ZL38062 for audio in and out
- MicroSemi ZL38067 to handle “Alexa” keyword
- single or dual digital microphone up to 5 meter range
- Far field voice wake up
- Support for echo cancellation
- 802.11 b/g/n WiFi 2×2 MIMO up to 300 Mbps
- 2x 10/100M Ethernet (LAN and WAN)
- Optional UART modules for Bluetooth, ZigBeem Z-Wave
- USB – 1x USB 2.0 host port
- Expansion – Arduino headers with UART, I2C, SPI and GPIOs
- Power Supply – 5V via power barrel or mini USB port
As you can see from the photo below, the main components are on separate boards (for some reasons) with a “mother board”, MT7628 module, and an audio sub-board.
The solution can be used to build voice controlled home automation gateways or appliances, smart speakers, and robots. RAK Wireless sells a development kit with the three boards, an Ethernet cable, a speaker, a USB cable, two antennas, some Dupont wires, some jumpers, and a Quick Start Guide for $49 plus shipping. Visit the product page for a few more details.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
3 Replies to “Design Amazon Alexa Gateways, Robots and Smart Speakers with WisCore Modular Development Kit”
Voice “services” is another area where open source really needs to step up its game. You can not have “free” software if you depend on Cloud functionality, EULAs, ToS, and monthly fees for your core services. When your internet is down, you own a brick.
Also of interest is the MIPS core. MIPS is up for sale again. Who knows what direction its next owner will take it or if there will even be a next owner.
Of course, these concerns are of far less importance in “modern” times. Products today have a life span slightly longer than toast left in the rain.
30 years ago a diagram circulated to build a voice recognition circuit for robots using an intel 8748 microcontroller recognizing 10 words, which I eventually built. This was with 64B RAM, 1kB EPROM, and 11 MHz / 15 cycles ~= 0.7 MIPS. The analog signal was cut into low and high frequencies by an LM324 and decoded by the uC. If it was possible to do all this with so little resource, you can imagine what can be done off-line with a 1000 times faster CPU, with 2000 times more RAM and 16000 times more storage, surrounded by specialized ASR devices.
If this board takes off, I wouldn’t be surprized if some people manage to make it 100% autonomous for single-word actions, which usually is enough for remote control in kitchens or anywhere your hands are not free.
The most difficult with speech recognition in opensource environments is that everything has to be done from scratch for each language while opensource consists in joining efforts from various places, not requiring the same skills to be replicated everywhere. It would work much better if we in fact invented a common language with easily pronounceable words for such applications. That’s more or less what Amazon did with their “Alexa” prefix and Google with “OK Google”. Or maybe we should use Esperanto ?
I’ve received the WisCore board from Ken as a evaluation sample. It’s very nice hardware – easy to setup and link to my Amazon’s Alexa account. Rak has already released few new version of the firmware available in github https://github.com/RAKWireless/WisCore/tree/master/release. The EVK includes even small speaker that you hook up to the I2S audio daughter board. There are two MEMS mics (only one in used by the current firmware) on the audio board. It does work very well – It picked up the wake up word from good 6-7 meters from noisy household (two small kids) from guy with a strong accent 🙂