Arduino Lovers

Hi @binishmatheww , Welcome to Makergram.

I see you want to build a GPS Logger. For that, you can use any basic GPS module available in the market such as NEO-6M GPS Module or any from the list here.

After that, you need to choose a microcontroller, which can communicate with the GPS module read the GPS and translate the NMEA (data format for GPS packets) to a more usable format (you can do the post-processing in the phone too).

Then you can send the data to hone via BLE, for this you can use a BLE-supported microcontroller or use a standalone BLE co-processor. My suggestion is to go with esp32 as it has BLE support and other cores can be used for the GPS data acquisition. To do the post-processing and other things you can do with the mobile app.

You can split the project into different parts.

1. GPS Data Acquisition. (You can use Arduino IDE + ESP32/Pico W + GPS module of your choice)
2. GPS data translation (There will be Arduino lib which can make the translation easier)
3. Send Data to the mobile app via BLE (Arduino IDE + ESP32/Pico W + BLE LIB + Mobile application).

Hope you get an idea, please check and let us know. Happy building.

@jacob_jipson Glad to hear that.

@jacob_jipson said in Need Help: Error compiling for board AI Thinker ESP32-CAM.:

ESP-NN

Did you replace the NN folder in the lib as we do for XIAO esp32? and for the AI Thinker ESP32-CAM, you don't need to do that.

now, try to delete the library and re-add a new one and compile.

@jacob_jipson said in Need Help: Error compiling for board AI Thinker ESP32-CAM.:

exit status 1
Error compiling for board AI Thinker ESP32-CAM.

can you please share the full error log here and pleas share the screenshot of the Arduino IDE tools section.

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@fabme In this case, you need to upload a code XIAO, To fetch the IMU and print on serial. From there, use Edge Impulse CLI to forward the data from the serial to the Edge Impulse.

Hi @fabme , What kind of data are you trying to collect, and can you specify the sensor?

Thanks for the insights @kowshik1729 .

When I was checking the edgeImpulse memory profiler, it only mentioned 19.1K RAM and I don't have any additional application running along with the inference program. It looks like something is wrong in the compilation.

I will try to check the memory status as you mentioned and get back, Thanks

Recently, I got a chance to work work the SeeedStudio T1000 tracker and I made a tracker and data logger with it. It comes with a LoRa module to transmit the data and has an inbuilt temperature and light sensor. The device is very easy to set up and get-started and I can say the experience of switching from different LoRa network servers is very pleasant and straightforward, same for the integration. I chose Ubidots to visualise the data captured.

I also like the mobile application very much, it’s so easy to pair and change the tracker configuration on the go. I love it.

I will experiment more and share my insights here. let me know if you want to know any specific details about the SenseCAP T1000.

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@salmanfaris

This seems to be a typical Dynamic memory allocation done through your software stack. I've seen similar error while implementing OpenCV on MCU's.

Try freeing unused objects from your application.