@salmanfaris thank you so much man, I'll try this and update you shortly. Thank you once again.
Best,
Dipu
@salmanfaris thank you so much man, I'll try this and update you shortly. Thank you once again.
Best,
Dipu
@salmanfaris any updates?
Best,
Dipu
@salmanfaris Hope you're doing well, did you get sometime to work on this?
Best,
Dipu
@salmanfaris I really appreciate your help and look forward to seeing the example.
Best,
Dipu
Thank you for your response! @salmanfaris
It makes sense that filtering out the specific data points that are needed and sending them to the cloud would be the way to go.
If it's not too much trouble, could you please provide me with an example of how to filter out and send only the necessary inferencing data to the cloud?
Thank you again for your help!
Best,
Dipu
Hi @salmanfaris
Thank you for sharing these two methods to take data/output information to the cloud. It's very helpful, and I appreciate your willingness to share your knowledge and expertise.
Regarding the second method, could you please clarify what kind of processing and cleaning of data needs to be done before pushing it to the cloud? Thank you!
Best,
Dipu
Dear Community,
I am currently working on an Edge Impulse project and have a query regarding the pre-built firmware that can be exported through the platform. Although I am able to read the data through the CLI/serial monitor, I am unsure about how to transfer this inference data/results to an IoT dashboard since the pre-built firmware cannot be edited.
While I can achieve this through the Arduino library, the accuracy of the inference results is better when using the pre-built firmware.
Best regards,
Dipu