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Interactive signage - project clarification

TinyML

Neha Kamal last edited by

Hi makers

i have choosen project theme.

project title : Still Heard

“For the ones who stayed quiet but always cared.”

Still Heard is an interactive emotional companion built for those who’ve ever felt unheard, unseen, or silenced especially in professional or personal spaces.

looked for some option.
need to take the input from the user and we have two options
direct text from user
or
capturing emotion using sensors
i have read about Grove-GSR sensor
can we use that one?
Is there any better options ?
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Hi makers

i have choosen project theme.

project title : Still Heard

“For the ones who stayed quiet but always cared.”

Still Heard is an interactive emotional companion built for those who’ve ever felt unheard, unseen, or silenced especially in professional or personal spaces.

looked for some option.
need to take the input from the user and we have two options
direct text from user
or
capturing emotion using sensors
i have read about Grove-GSR sensor
can we use that one?
Is there any better options ?

• read more
Hi @rahuljeyaraj ,

Welcome to the MakerGram community forum, There are several capable development boards available right now for the application. I'm sharing the one we have at our MakerGram inventory,

For small models, I recommend using - XIAO ESP32-S3 Sense along with Edge Impulse platform to create the model, Here the processing is managed by the esp32 Core itself. It maybe feel slower if the mode it bit heavy.

next option for small models is Seeed Grove Vision v2 camera where all the processing will done in the inbuilt "Arm Cortex-M55 & Ethos-U55" and you can get the inference results via the I2C or UART from the board, later you can process with Arduino or any XIAO board itself.

If the model is moderate in size, better to go with Raspberry Pi and v2 or v3 camera and use the Edge Impulse models.

Currently, we have these board available.

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R

Hi everyone,

I’m planning a vision-based AI project where the AI model should run directly on the embedded board (not in the cloud). Based on the inference results, I want to trigger actions like controlling a light or playing a pre-recorded audio file through a speaker.

Could you please suggest which board or boards would be suitable for this kind of edge AI application? Also, does MakerGram stock such boards?

Thanks in advance for your help!

• read more
@salmanfaris Thank you Salman, This solution worked for me.

• read more
@Abhay Can you try one more method

Downloaded both boards, “Seeed nRF52 Boards” and “Seeed nRF52 mbed-enabled Boards.”

Copy the adafruit-nrfutil from
/Users/<user>/Library/Arduino15/packages/Seeeduino/hardware/mbed/2.9.2/tools/adafruit-nrfutil/macos/adafruit-nrfutil
to
/Users/<user>/Library/Arduino15/packages/Seeeduino/hardware/nrf52/1.1.8/tools/adafruit-nrfutil/macos/adafruit-nrfutil
Then chmod -x the copied file

Please check and let me know. Src

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