Thanks for the suggestion, will add a microphone in the next version~~
Thanks for the suggestion. From the current layout, there isn’t much space for extra 4 grove ports…We need also try to make the look of the board more harmonious, maybe we can make those horizontal ports become vertical too, thus can make more room for extra Groves, will try~~
Really appreciate your idea, in fact, we have already connected the power on the AI HAT on the Raspberry Pi HAT connector, in order to protect the circuit, we also add a switch to change the power mode.
For SPI connector and JTAG, we will evaluate and try to add them in the final version. Will get you updated~Thank you!
An RTC can be useful.
Is there any USER defined button?
Thanks for the suggestion, a 3-axis accelerometer sensor integrated on the board is surely more convenient than using Grove. Will try to find a cost-effective one so that not adding too much cost for our users, do you have any recommendation for the 3-Axis accelerometer sensor?
Thanks for the suggestion. Seems microphone and motions sensors are very demanded. Will possibly adding a 3-axis accelerometer instead of 9-DOF because 9-DOF will cost a lot more. For 3-Axis gyro and 3-Axis magnetometer, a Grove module can be handy.
I think ST LIS2DH12 is low-cost and ultra-low-power and also useful for gesture recognition, free fall and wake up detection and many other features.
For Raspbeery Pi + the AI HAT, the lithum battery would run out very rapidly :mrgreen:
UPDATE: We just got the first look of this Grove AI HAT for Edge Computing and Raspberry Pi based on the Sipeed MAIX-I, including LCD and Camera Interfaces, connectors for Digital, I2C, UART and Analog.
Don’t hesitate to share your thoughts and ideas with us in this forum! Let us know what features you would like to see and have the chance of making it to the final product.
Wow, looking cool! Hoping to see an accelerometer in the next revision and want to try it out soon.
I think it’s a good idea to add a connector for a battery pack, not to power the board with the battery only but to have an UPS for short power failure. It could be very useful to prevent data corruption.
Is there a release schedule for the revisions posted (for easy lookup) and order placement?
Thanks for all the wonderful ideas! Here is an update about things we are going to add to the next version.
- There AI HAT can power Raspberry Pi directly. Just use the onboard switch to switch power mode.
- There will be a microphone on board, the same microphone as the Sipeed 6+1 micarray.
- There will be an ADXL345, 3-Axis Accelerometer on board. We choose this one because there is already a Grove version of the sensor, the software is ready, easier to get a sample, and also lower cost.
- There will be a user button, and the boot LED can be used as user LED.
- The 40-Pin interface will be changed to SMT female header.
- The JTAG package will be smaller.
We will finish the layout in a week, and get samples of the second version in the week of 22-Apr. If everything goes well, we will do pre-order in early May.
Welcome to more ideas about how to using Grove with this HAT~
We will finish the layout in a week, and get samples of the second version in the week of 22-Apr. If everything goes well, we will do pre-order in early May. Thank you~
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.
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.
<LINK_TEXT text=“https://www.sony-semicon.co.jp/products … egius.html”>https://www.sony-semicon.co.jp/products_en/IS/sensor0/industry/technology/pregius.html</LINK_TEXT>
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.
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.
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.