NEW Releasing: Grove AI HAT for Edge Computing and Look forward to your ideas!

[jeremy882]

This processor has an amazing APU ( audio processing unit ) that is capable of handling ( 8 ) 192 khz audio streams with hardware accelerated FWT processing. It would be a shame not to have a way to access those features via I2S. It would make an amazing engine for processing high-end audio, especially in combination with the Pi.

Indeed. And thanks for precvious feedback in this forum, we added an on-board microphone, and we have also breaked out I2S of the processpr to Raspberry Pi 40-Pin connector.

[jeremy882]

Please consider adding a camera that is ideal for future machine vision applications. At the moment Pregius Gen 3 Global Shutter CMOS is the my favorite.

https://www.sony-semicon.co.jp/products ... egius.html

What do you expect from a good machine vision camera?

* Accurate color reproduction
* No chromatic aberration
* Good low light performance
* Interchangeable lens with mount system
* High frame rate upto 120 fps
* Ability to access and change the parameters of the camera settings (white balance etc)

For conservation projects, the embedded vision camera need specific requirements.

Camera with IR cut filter / IR-white-red flash /star light camera are ideal.

We will have a beginner kit for this Grove AI HAT soon and will include a camera in the kit. The idea is to include the camera that is being used by those Sipeed boards because it is cost-effective and can handle basic tasks. The Sony cameras can be great accessories to be purchased separately for higher level usage.
Top

[andriyadi]

Good progress.

What about connector for external 6 Mic Array that's already available for Maix, is it already there? Would be great to have it.

[jeremy882]

An update: Face Recognition Demo using Grove AI HAT for Edge Computing and Raspberry Pi

https://youtu.be/5BF3ExL1HOQ

https://project.seeedstudio.com/SeeedSt ... -pi-3e100f

[ronwagner]

Artificial intelligence technology has been applied in various fields. Grove AI HAT for Edge Computing is a surprising news .And l want to share some discussions about AI : https://docsbay.net/ai-at-the-edge-the- ... -of-things

[tristan.mumford]

I don't know if it will work for anyone else. I put this together yesterday.

https://github.com/experimentech/kendryte-toolchain-arm

It's based on the native toolchain, so it may need some libraries installed as per the Kendryte-gnu-toolchain installation instructions. Or it may not work at all for others.
I have used it on my RPi3 and Jetson nano so far to build, upload and run some example sketches.

[niketsurve12345]

Well explained..

[jaikrishan5591]

The idea is to distribute the data storage and intelligence in ... Disclaimer: SeeedStudio has contacted me to review the Grove AI Hat for Edge Computing. ... Hardware is actually evolving so quickly that we can see small .

[zamir138]

Awesome stuff! I suggest to put at least a couple more Grove connector sockets on the board, there seems to be enough room left. This would allow to connect several additional Grove sensors (there are many for about anything), which could be used as additional input to ML models and allow to do sensor fusion projects (because using AI for camera only is somewhat limiting). Grove actuators can be hooked up as well to sockets (relays, motor controller, etc.. there are a lot of Grove accessories) and can for example be controlled from the output of a ML model; this is easy to do. I suggest to put the additional Grove sockets vertically, just like on the Seeeduino Lotus board instead of lining them up at the edge of the PCB. You could probably have 4 analog and 4 digital ports, instead of 2.

We are going to release two versions, one based on the Sipeed MAIX-I with WiFi and another without. Both can work as a Raspberry Pi HAT, or work by themselves. The basic function and features are confirmed and listed here. But we are open to suggestions from the community about how to make this product.