@Neha-Kamal Nice one, Can you share the project link also here. Thanks 🙌.

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.

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

@mahesh02 From the current Arduino ESP32 board files, we don't need to install the ESP-NN separately.

But try to choose the esp32 board version 3.1.3 and check, as I also faced issues with the latest esp32 board file.

Hi @Vishnuraj2003, I see you have A203v2 Carrier Board and it will support M.2 Key M disk 2242 as per the product page.

e7fb9d0d-3d56-449e-b088-8c2cc9e3d4df-image.png

This also happened to me when I was given a task from my company, So what I can recommend is:
Ensure that the correct board, "AI Thinker ESP32-CAM," is selected in the Tools menu of your Arduino IDE.
If the board is not listed, you may need to install it through the Board Manager. Search for "ESP32" and install the latest version.
Ensure that necessary libraries like ESP32-CAM, WiFi, and HTTPClient are installed. You can install them through the Library Manager.

Carefully check your code for typos, missing semicolons, or incorrect syntax.
Verify that you're using the correct function names and parameters.

@Vishnuraj2003 Are you able to fix it?

Hi @PumpedMedusa, The rage is depends on the Antenna and how much TX power you have.

To choose antenna, first you need figure out - where your nodes will be, take a look at the below image. The antenna act like a "torch" if you have more dbi that mean it's focus will be increase and it can reach more distance but the angle it have it less, like a laser.

458a3da2-175a-4968-917c-56c5a1b763f8-image.png

also, obstacle such as buildings, tress and mountains will affect the signal and deplete it.

afe5eba4-b192-4263-8596-80c912fc1f23-image.png

So, answer for you question - What is the best LoRa module to use for long distance network? - It's really depends on where you planning to put the nodes and how high you putting the gateway. Let me know know your thoughts.