MakerGram

The particle release draft of Photon 2 is a development module with a microcontroller and Wi-Fi networking. The form factor is similar to the Argon (Adafruit Feather), but the Photon 2 supports 2.4 GHz and 5 GHz Wi-Fi, BLE, and has much larger RAM and flash that can support larger applications.

It is intended to replace both the Photon and Argon modules. It contains the same module as the P2, making it easier to migrate from a pin-based development module to a SMD mass-production module if desired.

Features

802.11a/b/g/n Wi-Fi, 2.4 GHz and 5 GHz
Integrated PCB antenna
Integrated U.FL connector for external antenna
Integrated RF switch
BLE 5 using same antenna as Wi-Fi
Realtek RTL8721DM MCU
ARM Cortex M33 CPU, 200 MHz
2048 KB (2 MB) user application maximum size
3072 KB (3 MB) of RAM available to user applications
2 MB flash file system
FCC, IC, and CE certified

Source: https://docs.particle.io/reference/datasheets/wi-fi/photon-2-datasheet/

salmanfaris

Hi @Richu-Bini , What kind of UART/FTDI programmer you are using? Could also share the connection diagram to the module with the programmer?

and in the diagram I see, you already twisted Rx and Tx, so you should connect the FTDI with the module Esp32 Rx - FTDI Rx and Esp32 TX - FTDI TX.

salmanfaris

@Adithya-SM Can you confirm the I2C address is correct? You can use this I2C Scanner to program to find the correct address


// --------------------------------------
// i2c_scanner
//
// Modified from https://playground.arduino.cc/Main/I2cScanner/
// --------------------------------------

#include <Wire.h>

// Set I2C bus to use: Wire, Wire1, etc.
#define WIRE Wire

void setup() {
  WIRE.begin();

  Serial.begin(9600);
  while (!Serial)
     delay(10);
  Serial.println("\nI2C Scanner");
}


void loop() {
  byte error, address;
  int nDevices;

  Serial.println("Scanning...");

  nDevices = 0;
  for(address = 1; address < 127; address++ ) 
  {
    // The i2c_scanner uses the return value of
    // the Write.endTransmisstion to see if
    // a device did acknowledge to the address.
    WIRE.beginTransmission(address);
    error = WIRE.endTransmission();

    if (error == 0)
    {
      Serial.print("I2C device found at address 0x");
      if (address<16) 
        Serial.print("0");
      Serial.print(address,HEX);
      Serial.println("  !");

      nDevices++;
    }
    else if (error==4) 
    {
      Serial.print("Unknown error at address 0x");
      if (address<16) 
        Serial.print("0");
      Serial.println(address,HEX);
    }    
  }
  if (nDevices == 0)
    Serial.println("No I2C devices found\n");
  else
    Serial.println("done\n");

  delay(5000);           // wait 5 seconds for next scan
}

salmanfaris

Hi @dipu_varghese ,

Here is the sample input from the binary edge impulse inference,

Predictions (DSP: 16 ms., Classification: 1 ms., Anomaly: 2 ms.):
idle: 0.91016
snake: 0.08203
updown: 0.00391
wave: 0.00391
anomaly score: -0.067”

And from here for example we can try to get the updown values only by attaching the device to another controller and read the Serial string directly.

void setup() {
  // Start serial communication at 9600 baud
  Serial.begin(9600);
}

void loop() {
  // Wait until there is data available on the serial port
  while (!Serial.available()) {
    // Do nothing
  }

  // Read the input string from the serial port
  String inputString = Serial.readStringUntil('\n');

  // Find the position of the "updown" value in the input string
  int updownPos = inputString.indexOf("updown:");

  // If the "updown" value was found in the input string
  if (updownPos >= 0) {
    // Extract the "updown" value from the input string
    String updownString = inputString.substring(updownPos + 8, inputString.indexOf('\n', updownPos));

// Convert the "updown" value to a float
    float updownValue = updownString.toFloat();

 // Output the "updown" value
    Serial.println(updownValue);
  }
}

The sketch should then output the "updown" value, which is 0.08203.

Hope this will be helpful, let me know if you need more clarification.

salmanfaris

@dipu_varghese Sure, I'll try to make an example in one coming day and share.

salmanfaris

@sivanath From your last message looks like the MQTT broker already running on your computer. Could you please try to do a test with nodeRED and see it's working or not.

salmanfaris

@dipu_varghese The serial data from the prebuilt inferencing binary will be a little big with string size as it comes with all inferencing data points and it's confidence level plus the model information, you might only need the inferencing score or the inferencing data, so you can filter that out and send that to the cloud. Hope you get the idea. Let me know if you need an example.

salmanfaris

Hi @dipu_varghese ,

There is two way you can take the data/output information to the cloud.

You need to use the Arduino library for inferencing the model and then push the data in a particular interval or with the triggers. Since the BLE nano sense doesn't have WiFi, you might need to route the network via Bluetooth to the internet-connected gateway, for example, a raspberry pi as DIY or you can transfer the data from Arduino to a wifi controller via serial, for example, transfer the result via UART or I2C to esp8266 or esp32 and then from esp you can push the data to cloud.
The next method is you can use the prebuilt inferencing binary generated by the edge impulse system, as read the serial output with a Wffi or internet-enabled controller, such as raspberry pi, esp32, or esp8266, and after we need to do some processing and cleaning of the data, then push to the cloud.

These are the method in my mind, please check them and let me know what you think. Happy making .

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