Published July 23, 2022 © MIT

AEye: The artificial eye for your kitchen

AEye can be able to detect when your stove has been left unattended using Wio Terminal and thermal camera.

BeginnerFull instructions provided20 hours1,836

AEye: The artificial eye for your kitchen

Things used in this project

Hardware components

Seeed Studio Wio Terminal

Seeed Studio Grove - Thermal Imaging Camera / IR Array MLX90640 110 degree

Seeed Studio Wio-Terminal-Chassis

Seeed Studio SenseCAP M2

Software apps and online services

Arduino IDE

Edge Impulse Studio

Amazon Web Services AWS Lambda

Amazon Web Services AWS IAM

Amazon Web Services AWS DynamoDB

Story

I have executed this project with some guidance from my dad.

Problems with stoves

One night, my mom had forgotten to turn the stove off after she was done cooking. The next morning, my dad had noticed that stove was on the whole night! Luckily, stove was on low , was nothing on the top and no damage was done, but something had to be done to prevent that from happening again. I had researched that one of the main way houses catch on fire is when the stove is left unattended when cooking or after cooking.

How can my project help?

Using a thermal camera and machine learning, you can be able to see the heat radiations. Based on the machine learning, the device can identify if the stove has been left unattended and will notify you.

My implementation is AEye

Here comes my device, "AEye". This device is built with Seeed Studio's Wio Terminal and is connected with a thermal camera and a LoRa Chassis. I am running a tinyml model on the wio terminal so that it can be able to determine whether the stove is on while no one is there. Without machine learning, we can determine if stove is on based on the heat data but taking a finer decision if stove is on and human is present or not, require lot of if-else logic in the code. Machine learning makes more sense in this situation. Then after it can be able to alert you to check the stove before any damage can happen.

Creating EI project

Hop onto Edge Impulse and create a new project. Go to the tab called "keys" and add a new HMAC key. After you get the key, copy the key and save it for later.

Data collection

Edge Impulse doesn't support thermal camera feed for data collection at the moment, so you need to collect your data from the wio terminal and have it forwarded to Edge Impulse to build the model instead of directly collecting the data from Edge Impulse.

To capture the data, I am using the 3 buttons of the wio terminal for all my labels. In order to collect the data, you need to run the WIO_AEye_Data_Collector.ino program, then you can start collecting the data!

Me collecting the data of the stove

After you have collected the data that you need, remove the SD card from the wio terminal and insert into the computer. After that, you should be able to see the CSV files listed.

After you got the files, copy them to the directory called raw under the folder "data". This step is optional, but if you want to visually see your csv files, then you can run the imager.py program. This will help create a visual presentation of the data under /data/visual folder.

Uploading the data to EI

Now I have all the data collected in a series of raw data. Since the display is 32x24, we should have 768 separate values for each image. The difference of each of the 768 time series data will have an interval of 1 ms. So in EI, your data should be formatted similar to this:

We have now took a sneak-peak of what the formatted data should look like. In order to start, first open the data-formatter.py program and paste the HMAC key you had gotten earlier when you were first creating the project. What this program will do is it will turn the csv files into json files and will store them under the /data/data-formatter folder.

python3 data-formatter.py

Now to have the data uploaded under the "Data acquisition" page, CD into formatted-data folder and run the following command:

edge-impulse-uploader --category split *.json

Building the model

Now that we have the data collection out of the way, we can now move on to building and training the model! To start, head over to the "Create Impulse" page. First, click on "Add an input block" and select "Time series data". Have the "Window size" as 768, and "Window increase" as 768 as well.

Then, click on "Add processing block" and choose "Raw data".

After, select "Add a learning block" and choose Classification (Keras).

Now you can be able to save the impulse. Once you are done, it should look something like this:

You can take a look at the page "Raw data", but we are just keeping everything as default. Now we can move on to the "NN classifier" page to adjust the number of training cycles and the learning rate. If your model doesn't work well, you should add more data and retrain the model.

Now you have finished building the model! This next step will download the library as a zip file. Navigate to "Deployment" page, choose "Arduino" and build. If you are naming your project with the same name as mine, the library file should be AEye_inferencing.h

Setting up Helium

For this project, I am going to be using LoRa network other than WiFi or cellular network for its long range. The limitation with LoRa is that it can only transmit raw data, not audio or image. But for my project, that is not a problem since I only have raw data. When the device is at home, usually you can connect to WiFi but we have so many smart devices connected to WiFI and I am trying to avoid any new device to it.

After you connect the antenna to the chassis, upload the sketch WIO_AEye_Inference_lora.ino to the Wio terminal.

Register device with Helium

Head over to the Helium Console and register your device. After you registered your device and are in the console, find the devices page and add a new device.

As you can see in the image above, you need to get the Dev EUI, App EUI, and the App key. In order to see this info, slide the blue circle button to the left until you see the screen change.

Integration with AWS

To start the integration, first you need to make a user. Go to IAM and click "users". Then you can be able to go and create a user by adding the user name (I have mine as "wio-terminal-stove-helium") and then the AWS credential type will be "Access Key". This will give you the access key ID and secret access key. Back in the Helium Console, enter the credentials under "Integrations", as well as the AWS region that you would like AWS IoT to run in.

Remember: You can only see the secret access key once, so make sure you have it fully copied.

Once you have followed through with the integration, find the "Flows" page and start creating the workflow as shown in the image below.

Create the Lambda function

Now that you have finished with creating the workflow, you need to create a Lambda function. You can search "Lambda" from AWS IoT and then you can just create the function. You can find my Lambda code under the "Code" section. For this project, I am using AWS Pinpoint to be able to send a notification for when the stove is left unattended.

Creating the rule

After you deploy your function, we have to create a rule. Head over to IoT Core and navigate to "Message Routing" and select "Rules". Once you are in the "rules" page, go ahead and create a new rule.

Use the topic name that you used in the helium console and under actions and then select the lambda function you had just deployed.

Creating the database

In the lambda function, you can see that I had set a 15 minute interval in between notifications. So that each time the data comes in as the label 2(or stove with no human) and sends notifications to the phone, the next one should not come in until 15 minutes has passed. But when 15 minutes has passed, it will send the notification and update the database. Right now, we have done everything but creating the database.

In order to make the database, first go to DynamoDB and create a table. Set the title as "wio_terminal_stove_config", have the partition key be "id" and set that to a string. Have the table settings as "default settings" and then create the table!

Then that's it! You did it 😄 Now put your device in front of your stove, and have it keep an eye on your stove!

#include <Wire.h>
#include <SPI.h>
#include "TFT_eSPI.h"
#include "MLX90640_API.h"
#include "MLX9064X_I2C_Driver.h"
#include <Seeed_FS.h>
#include "SD/Seeed_SD.h"

#define TA_SHIFT 8 //Default shift for MLX90640 in open air

paramsMLX90640 mlx90640;

TFT_eSPI tft;
TFT_eSprite spr = TFT_eSprite(&tft);

const byte MLX90640_address = 0x33;
static float mlx90640To[768];
char filename[50];
int  file_count = 500;

void readFile(fs::FS& fs, const char* path) {
  Serial.print("Reading file: ");
  Serial.println(path);
  File file = fs.open(path);

  if (!file) {
    Serial.println("Failed to open file for reading");
    return;
  }

  Serial.print("Read from file: ");
  while (file.available()) {
    Serial.write(file.read());
  }
  file.close();
}

void writeFile(fs::FS& fs, const char* path, String data) {
  Serial.print("Writing file: ");
  Serial.println(path);
  File file = fs.open(path, FILE_WRITE);
  if (!file) {
    Serial.println("Failed to open file for writing");
    return;
  }

  // write in chunks of 512 bytes
  for ( int i = 0; i < data.length(); i = i + 512) {
    if (!file.print(data.substring(i, i + 512))) {
      Serial.println("Write failed");
    }
  }


  file.close();
}

void deleteFile(fs::FS& fs, const char* path) {
  Serial.print("Deleting file: ");
  Serial.println(path);
  if (fs.remove(path)) {
    Serial.println("File deleted");
  } else {
    Serial.println("Delete failed");
  }
}

void setup()
{
  pinMode(WIO_KEY_A, INPUT_PULLUP);
  pinMode(WIO_KEY_B, INPUT_PULLUP);
  pinMode(WIO_KEY_C, INPUT_PULLUP);
  pinMode(LED_BUILTIN, OUTPUT);
  digitalWrite(LED_BUILTIN, LOW); 
  
  Wire.begin();
  Wire.setClock(400000); //Increase I2C clock speed to 400kHz

  Serial.begin(115200);
  delay(1000);
 // while (!Serial); //Wait for user to open terminal

  if (isConnected() == false)
  {
    Serial.println("MLX90640 not detected at default I2C address. Please check wiring. Freezing.");
    while (1);
  }
  Serial.println("MLX90640 online!");

  //Get device parameters - We only have to do this once
  int status;
  uint16_t eeMLX90640[832];
  status = MLX90640_DumpEE(MLX90640_address, eeMLX90640);
  if (status != 0)
    Serial.println("Failed to load system parameters");

  status = MLX90640_ExtractParameters(eeMLX90640, &mlx90640);
  if (status != 0)
    Serial.println("Parameter extraction failed");

  //Once params are extracted, we can release eeMLX90640 array
  tft.begin();
  tft.setRotation(3);
  Getabcd();
  tft.fillScreen(TFT_BLACK);  

  while (!SD.begin(SDCARD_SS_PIN, SDCARD_SPI)) {
    Serial.println("Card Mount Failed");
    return;
  }

  uint8_t cardType = SD.cardType();

  if (cardType == CARD_NONE) {
    Serial.println("No SD card attached");
    return;
  }

  pinMode(WIO_BUZZER, OUTPUT);
  digitalWrite(LED_BUILTIN, HIGH);
}

void loop()
{
  for (byte x = 0 ; x < 2 ; x++) //Read both subpages
  {
    uint16_t mlx90640Frame[834];
    int status = MLX90640_GetFrameData(MLX90640_address, mlx90640Frame);
    if (status < 0)
    {
      Serial.print("GetFrame Error: ");
      Serial.println(status);
    }

    float vdd = MLX90640_GetVdd(mlx90640Frame, &mlx90640);
    float Ta = MLX90640_GetTa(mlx90640Frame, &mlx90640);

    float tr = Ta - TA_SHIFT; //Reflected temperature based on the sensor ambient temperature
    float emissivity = 0.95;

    MLX90640_CalculateTo(mlx90640Frame, &mlx90640, emissivity, tr, mlx90640To);
  }

  uint32_t color;
  uint8_t label_id = 0;
  //A - Stove with human, B - Just stove, C - Stove off
  if (digitalRead(WIO_KEY_A) == LOW) {
    Serial.println("Stove with human");
    label_id = 1;

  }
  else if (digitalRead(WIO_KEY_B) == LOW) {
    Serial.println("Just stove");
    label_id = 2;
  }
  else if (digitalRead(WIO_KEY_C) == LOW) {
    Serial.println("Stove off");
    label_id = 3;
  }


  String data;
  for (uint8_t x = 0; x < 32; x++) {
    for (uint8_t y = 0; y < 24; y++) {
      if (x == 0 && y == 0) {
        data = mlx90640To[24 * x + y];
      } else {
        data = data + "," +  mlx90640To[24 * x + y];
      }

      float val = mlx90640To[32 * (23 - y) + x];

      if (val > 99.99) val = 99.99;
      
      // if (val > 32.0) {
      //   color = TFT_MAGENTA;
      // } else if (val > 29.0) {
      //   color = TFT_RED;
      // } else if (val > 26.0) {
      //   color = TFT_YELLOW;
      // } else if (val > 20.0) {
      //   color = TFT_GREENYELLOW;
      // } else if (val > 17.0) {
      //   color = TFT_GREEN;
      // } else if (val > 10.0) {
      //   color = TFT_CYAN;
      // } else {
      //   color = TFT_BLUE;
      // }

      tft.fillRect(x * 10, y * 10, 10, 10, GetColor(val));
    }
  }

  if (label_id > 0) {
    analogWrite(WIO_BUZZER, 128);
    sprintf(filename, "/readings_%d_label_%d.csv", file_count, label_id);
    Serial.println(data);
    writeFile(SD, filename, data);
    file_count++;
  }
  delay(500);

  if (label_id > 0) {
    analogWrite(WIO_BUZZER, 0);
  }
}

//Returns true if the MLX90640 is detected on the I2C bus
boolean isConnected()
{
  Wire.beginTransmission((uint8_t)MLX90640_address);
  if (Wire.endTransmission() != 0)
    return (false); //Sensor did not ACK
  return (true);
}


// variables for interpolated colors
byte red, green, blue;
// start with some initial colors
uint16_t MinTemp = 25;
uint16_t MaxTemp = 38;
float  a, b, c, d;

// function to get the cutoff points in the temp vs RGB graph
void Getabcd() {
 
  a = MinTemp + (MaxTemp - MinTemp) * 0.2121;
  b = MinTemp + (MaxTemp - MinTemp) * 0.3182;
  c = MinTemp + (MaxTemp - MinTemp) * 0.4242;
  d = MinTemp + (MaxTemp - MinTemp) * 0.8182;
 
}


uint16_t GetColor(float val) {
 
  
  red = constrain(255.0 / (c - b) * val - ((b * 255.0) / (c - b)), 0, 255);
 
  if ((val > MinTemp) & (val < a)) {
    green = constrain(255.0 / (a - MinTemp) * val - (255.0 * MinTemp) / (a - MinTemp), 0, 255);
  }
  else if ((val >= a) & (val <= c)) {
    green = 255;
  }
  else if (val > c) {
    green = constrain(255.0 / (c - d) * val - (d * 255.0) / (c - d), 0, 255);
  }
  else if ((val > d) | (val < a)) {
    green = 0;
  }
 
  if (val <= b) {
    blue = constrain(255.0 / (a - b) * val - (255.0 * b) / (a - b), 0, 255);
  }
  else if ((val > b) & (val <= d)) {
    blue = 0;
  }
  else if (val > d) {
    blue = constrain(240.0 / (MaxTemp - d) * val - (d * 240.0) / (MaxTemp - d), 0, 240);
  }
 
  // use the displays color mapping function to get 5-6-5 color palet (R=5 bits, G=6 bits, B-5 bits)
  return spr.color565(red, green, blue);
 
}

#include <Wire.h>
#include <SPI.h>
#include "TFT_eSPI.h"
#include "MLX90640_API.h"
#include "MLX9064X_I2C_Driver.h"
#include <AEye_inferencing.h>
#include "gps.h"
#include "SoftwareSerial2.h"
#include <Arduino.h>



//TFT_eSPI tft;
#include "fonts.h"
#define X_OFFSET 2
#define Y_OFFSET 0
#define X_SIZE 80
#define Y_SIZE 20
#define R_SIZE 4
#define BOX_SPACING 2

#define TFT_GRAY 0b1010010100010000
#define TFT_GRAY10 0b0100001100001000
#define TFT_GRAY20 0b0010000110000100

#define HIST_X_OFFSET 2
#define HIST_Y_OFFSET 75
#define HIST_X_SIZE 315
#define HIST_X_TXTSIZE X_SIZE - 3
#define HIST_Y_SIZE 160
#define HIST_X_BAR_OFFSET 50
#define HIST_X_BAR_SPACE 2

#define AWS_PUSH_INTERVAL_IN_SECONDS 60
SoftwareSerial1 softSerial2(40, 41);


char payload[500];
String label = "Background";
float score = 0.0;  
long lastSent = 0;
long lastRead = 0;
long lastMoved = 0;
int position = 0;

float features[768];

//float data[768];

int raw_feature_get_data(size_t offset, size_t length, float *out_ptr) {
    memcpy(out_ptr, features + offset, length * sizeof(float));
    return 0;
}

#define TA_SHIFT 8 //Default shift for MLX90640 in open air

paramsMLX90640 mlx90640;
TFT_eSPI tft;
TFT_eSprite spr = TFT_eSprite(&tft); // Sprite

const byte MLX90640_address = 0x33;
static float mlx90640To[768];

// variables for LORA
char str[100] = {0};
char str_devEui[50] = {0};
char str_appEvi[50] = {0};

static int P_temp, P_humi, P_is_exist = 1, P_is_join = 1;
static char recv_buf[512];
static bool is_exist = false;
static bool is_join = false;
static int led = 0;
static bool Lora_is_busy = false;
static int temp = 0;
static int humi = 0;
static int switch_UI = 0;
static int init_ui = 0;

enum e_module_Response_Result{
  MODULE_IDLE,
  MODULE_RECEIVING,
  MODULE_TIMEOUT,
  MODULE_ACK_SUCCESS,
};

enum e_module_AT_Cmd{
  AT_OK,
  AT_ID,
  AT_MODE,
  AT_DR,
  //AT_RATE,
  AT_CH,
  AT_KEY,
  AT_CLASS,
  AT_ADR,
  AT_PORT,
  //AT_LW,  
  AT_JOIN,
  AT_CMSGHEX,
  AT_TIMOUT
};

int module_AT_Cmd = 0;
typedef struct s_E5_Module_Cmd{
  char p_ack[15];
  int timeout_ms;
  char p_cmd[70];
} E5_Module_Cmd_t;

E5_Module_Cmd_t E5_Module_Cmd[] ={
  {"+AT: OK", 1000, "AT\r\n"},
  {"+ID: AppEui", 1000, "AT+ID\r\n"},
  {"+MODE", 1000, "AT+MODE=LWOTAA\r\n"},
  {"+DR", 1000, "AT+DR=US915\r\n"},
  //{"+RATE", 1000, "AT+DR=0\r\n"},  
  {"CH", 1000, "AT+CH=NUM,8-15\r\n"},
  {"+KEY: APPKEY", 1000, "AT+KEY=APPKEY,\"2B7E151628AED2A6ABF7158809CF4F3D\"\r\n"},
  {"+CLASS", 1000, "AT+CLASS=A\r\n"},
  {"+ADR", 1000, "AT+ADR=OFF\r\n"},  
  {"+PORT", 1000, "AT+PORT=2\r\n"},
  //{"+LW", 1000, "AT+LW=LEN\r\n"},
  {"Done", 10000, "AT+JOIN\r\n"},
  {"Done", 30000, ""},
};

static int at_send_check_response(char *p_ack, int timeout_ms, char *p_cmd, ...){
  int ch;
  int num = 0;
  int index = 0;
  int startMillis = 0;
  va_list args;
  memset(recv_buf, 0, sizeof(recv_buf));
  va_start(args, p_cmd);
  softSerial2.printf(p_cmd, args);
  Serial.printf(p_cmd, args);
  va_end(args);

  startMillis = millis();

  if (p_ack == NULL){
    return 0;
  }
  do{
    while (softSerial2.available() > 0)
    {
      ch = softSerial2.read();
      recv_buf[index++] = ch;
      Serial.print((char)ch);
      delay(2);
    }

    if (strstr(recv_buf, p_ack) != NULL){
      return 1;
    }

  } while (millis() - startMillis < timeout_ms);
  return 0;
}


static int at_send_check_response_flag(int timeout_ms, char *p_cmd, ...){
  if (Lora_is_busy == true){
    return 0;
  }
  Lora_is_busy = true;
//  Lora_Ack_timeout = timeout_ms;
  va_list args;
  memset(recv_buf, 0, sizeof(recv_buf));
  va_start(args, p_cmd);
  softSerial2.printf(p_cmd, args);
  Serial.printf(p_cmd, args);
  va_end(args);
  return 1;
}

static int check_message_response(){
  static bool init_flag = false;
  static int startMillis = 0;
  static int index = 0;
  e_module_Response_Result result = MODULE_ACK_SUCCESS;
  int ch;
  int num = 0;
  if (Lora_is_busy == true){
    if (init_flag == false){
      startMillis = millis();
      init_flag = true;
      index = 0;
      memset(recv_buf, 0, sizeof(recv_buf));
      Serial.println("Cmd Start......");
    }
    Lora_is_busy = false;
    init_flag = false;
    while (softSerial2.available() > 0){
      ch = softSerial2.read();
      recv_buf[index++] = ch;
      Serial.print((char)ch);
      delay(2);
    }

    if (strstr(recv_buf, E5_Module_Cmd[module_AT_Cmd].p_ack) != NULL){
      //          is_join = true;
      return result;
    }

    if (millis() - startMillis >= E5_Module_Cmd[module_AT_Cmd].timeout_ms){
      Serial.println("Cmd Timeout......");
      return MODULE_TIMEOUT;
    }
    Lora_is_busy = true;
    init_flag = true;
    return MODULE_RECEIVING;
  }
  return MODULE_IDLE;
}

void print_EVI(){
  Serial.println("+++++++++++ Devicee Info ++++++++++");
  Serial.printf("Device EUI %s \n",str_devEui);
  Serial.printf("App EUI %s \n",str_appEvi);
  Serial.printf("App Key 2B7E151628AED2A6ABF7158809CF4F3D \n");
  Serial.println("+++++++++++++++++++++++++++++++++++");
}
void display_EVI(){
  //  static int init_ui = 0;
  if (init_ui == 0){
    init_ui = 1;
    

    tft.setTextSize(1);
    tft.setFreeFont(FM9);
    tft.setTextColor(TFT_WHITE);
    tft.drawString("Device", 5, 40, GFXFF);
    tft.drawRoundRect(HIST_X_OFFSET, HIST_Y_OFFSET - 20, HIST_X_SIZE, HIST_Y_SIZE + 20, R_SIZE, TFT_WHITE);

    tft.setFreeFont(FSSO9);
    tft.setTextColor(TFT_BLUE);
    tft.drawString("LoRaWAN", HIST_X_OFFSET + 10, HIST_Y_OFFSET , GFXFF);
    tft.setFreeFont(FM9);
    tft.setTextColor(TFT_WHITE);
    tft.fillRect(HIST_X_OFFSET + 10, HIST_Y_OFFSET + 25, 300, 15, TFT_BLACK);
    strcpy(str, "DevEui:");
    strcat(str, str_devEui);
    tft.drawString(str, HIST_X_OFFSET + 10, HIST_Y_OFFSET + 25, GFXFF);
    memset(str, 0, sizeof(str));
    tft.fillRect(HIST_X_OFFSET + 10, HIST_Y_OFFSET + 45, 300, 15, TFT_BLACK);
    strcpy(str, "AppEui:");
    strcat(str, str_appEvi);
    tft.drawString(str, HIST_X_OFFSET + 10, HIST_Y_OFFSET + 45, GFXFF);
    tft.drawString("AppKey:", HIST_X_OFFSET + 10, HIST_Y_OFFSET + 65, GFXFF);
    tft.drawString("\"", HIST_X_OFFSET + 10, HIST_Y_OFFSET + 65, GFXFF);
    tft.drawString("2B7E151628AED2A6AB", HIST_X_OFFSET + 88, HIST_Y_OFFSET + 65, GFXFF);
    tft.drawString("F7158809CF4F3D", HIST_X_OFFSET + 88, HIST_Y_OFFSET + 85, GFXFF);

    
  }
}


void setup() {
  lastSent = millis();
  pinMode(LED_BUILTIN, OUTPUT);
  digitalWrite(LED_BUILTIN, LOW);
  
  
  Wire.begin();
  Wire.setClock(400000);  //Increase I2C clock speed to 400kHz

  Serial.begin(115200);
  delay(1000);
  // while (!Serial); //Wait for user to open terminal

  if (isConnected() == false) {
    Serial.println("MLX90640 not detected at default I2C address. Please check wiring. Freezing.");
    while (1)
      ;
  }
  Serial.println("MLX90640 online!");

  //Get device parameters - We only have to do this once
  int status;
  uint16_t eeMLX90640[832];
  status = MLX90640_DumpEE(MLX90640_address, eeMLX90640);
  if (status != 0)
    Serial.println("Failed to load system parameters");

  status = MLX90640_ExtractParameters(eeMLX90640, &mlx90640);
  if (status != 0)
    Serial.println("Parameter extraction failed");

  //Once params are extracted, we can release eeMLX90640 array
  tft.begin();
  tft.setRotation(3);


  tft.setTextSize(2);
  tft.setTextColor(TFT_WHITE);
  tft.fillScreen(TFT_BLACK);
  tft.drawString("Camper is initializing...", 20, 120);
  tft.fillScreen(TFT_BLACK);  

  //connect to cloud

  pinMode(WIO_BUZZER, OUTPUT);
  digitalWrite(LED_BUILTIN, HIGH);
  pinMode(WIO_5S_LEFT, INPUT_PULLUP);
  pinMode(WIO_5S_RIGHT, INPUT_PULLUP);

  GpsSerialInit();

  softSerial2.begin(9600);
  softSerial2.listen();
  while (!softSerial2);
  
  delay(5000);
}

int pLabel = 0; // 0-backgroud , 1- human, 2- animal
int pScore = 0;


void loop() {
  
  if (digitalRead(WIO_5S_LEFT) == LOW) {
    tft.fillScreen(TFT_BLACK);
    print_EVI();
    switch_UI = -1;
    
  }

  if (digitalRead(WIO_5S_RIGHT) == LOW) {
     
    switch_UI = 0;
  }

  if(switch_UI == -1){
       display_EVI();
      
  }  



if ((millis()-lastRead) > 60 * 1000){
    lastRead = millis();
    GpsstopListening();
    delay(100);
    GpsSerialInit();
    Serial.println("Read data: ");
         
}  

  GetGpsInfoPolling();
  UpdateGpsInfo();
  int r = check_message_response();
  //Serial.printf("Loop - %d \n", r); 
  switch (r){
    case MODULE_IDLE:
      if (module_AT_Cmd <= AT_PORT){
      //if (module_AT_Cmd <= AT_LW){
        at_send_check_response_flag(E5_Module_Cmd[module_AT_Cmd].timeout_ms, E5_Module_Cmd[module_AT_Cmd].p_cmd);
        Serial.print("module_AT_Cmd = ");
        Serial.println(module_AT_Cmd);
      }
      else if (is_join == true){
        if ((millis() - lastSent)  > 30 * 1000)
        {
          int lat = (int)(Lat* (-0.01));
          int lon = (int)(Lng*0.01);          
          Serial.printf("$$$$$$  Sending Data %d %d %d %d\n",pLabel,pScore, lat, lon);
          lastSent = millis();
          char cmd[128];
          int l1 = 4141;
          module_AT_Cmd = AT_CMSGHEX;
          sprintf(cmd, "AT+CMSGHEX=\"%02X%02X%08X%08X\"\r\n", byte(pLabel), byte(pScore), lat,lon);
          at_send_check_response_flag(E5_Module_Cmd[module_AT_Cmd].timeout_ms, cmd);
          
        }
      }
      else if (is_join == false){
        Serial.printf("Not Connected. Trying to join... \n"); 
        if ((millis() - lastSent) > 5 * 1000){
          Serial.println("Send Jion");
          lastSent = millis();
          module_AT_Cmd = AT_JOIN;
          at_send_check_response_flag(E5_Module_Cmd[module_AT_Cmd].timeout_ms, E5_Module_Cmd[module_AT_Cmd].p_cmd);
        }
      }

      break;
    case MODULE_RECEIVING:
      break;
    case MODULE_TIMEOUT:
      is_exist = false;
      is_join  = false;
      module_AT_Cmd = AT_OK;
      Serial.println("MODULE_TIMEOUT");
      break;
    case MODULE_ACK_SUCCESS:
      is_exist = true;

      switch (module_AT_Cmd){
        case AT_JOIN:
          if (strstr(recv_buf, "Network joined") != NULL){
            is_join = true;
          }
          else{
            is_join = false;
          }
          break;

        case AT_ID:
          int j = 0;
          char *p_start = NULL;
          p_start = strstr(recv_buf, "DevEui");
          sscanf(p_start, "DevEui, %23s,", &str);//&E5_Module_Data.DevEui);
          j = 0;
          for (int i = 0; i < 16; i++, j++){
            if ((i != 0) && (i % 2 == 0)){
              j += 1;
            }
            str_devEui[i] = str[j];
          }
          Serial.println(str_devEui);
          p_start = strstr(recv_buf, "AppEui");
          sscanf(p_start, "AppEui, %23s,", &str);//&E5_Module_Data.AppEui);
          j = 0;
          for (int i = 0; i < 16; i++, j++){
            if ((i != 0) && (i % 2 == 0)){
              j += 1;
            }
            str_appEvi[i] = str[j];
          }
          Serial.println(str_appEvi);
          init_ui = 0;
          break;

      }

      if (module_AT_Cmd <= AT_PORT){
      //if (module_AT_Cmd <= AT_LW){
        module_AT_Cmd++;
      }
      break;
  }

 
  
  for (byte x = 0; x < 2; x++)  //Read both subpages
  {
    uint16_t mlx90640Frame[834];
    int status = MLX90640_GetFrameData(MLX90640_address, mlx90640Frame);
    if (status < 0) {
      Serial.print("GetFrame Error: ");
      Serial.println(status);
    }

    float vdd = MLX90640_GetVdd(mlx90640Frame, &mlx90640);
    float Ta = MLX90640_GetTa(mlx90640Frame, &mlx90640);

    float tr = Ta - TA_SHIFT;  //Reflected temperature based on the sensor ambient temperature
    float emissivity = 0.95;

    MLX90640_CalculateTo(mlx90640Frame, &mlx90640, emissivity, tr, mlx90640To);
  }

  uint32_t color;
  uint8_t label_id = 0;
  //A - Stove with human , B- Just stove , C - Stove off


  String data;
  int counter = 0;

  for (uint8_t x = 0; x < 32; x++) {
    for (uint8_t y = 0; y < 24; y++) {
      if (x == 0 && y == 0) {
        data = mlx90640To[24 * x + y];
      } else {
        data = data + "," + mlx90640To[24 * x + y];
      }
      features[counter++] = mlx90640To[24 * x + y];
      

      float val = mlx90640To[32 * (23 - y) + x];


      if (val > 99.99) val = 99.99;

      if (val > 32.0) {
        color = TFT_MAGENTA;
      } else if (val > 29.0) {
        color = TFT_RED;
      } else if (val > 26.0) {
        color = TFT_YELLOW;
      } else if (val > 20.0) {
        color = TFT_GREENYELLOW;
      } else if (val > 17.0) {
        color = TFT_GREEN;
      } else if (val > 10.0) {
        color = TFT_CYAN;
      } else {
        color = TFT_BLUE;
      }

      if(switch_UI == 0)
       {
         tft.fillRect(x * 10, y * 10, 10, 10, color);
       }
    }
  }
  //delay(500);
  //ei_printf("Counter %d \n", counter);
  //ei_printf("Edge Impulse standalone inferencing (Arduino)\n");

  if (sizeof(features) / sizeof(float) != EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE) {
    ei_printf("The size of your 'features' array is not correct. Expected %lu items, but had %lu\n",
              EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE, sizeof(features) / sizeof(float));
    delay(1000);
    return;
  }
  ei_impulse_result_t result = { 0 };

  // the features are stored into flash, and we don't want to load everything into RAM
  signal_t features_signal;
  features_signal.total_length = sizeof(features) / sizeof(features[0]);
  features_signal.get_data = &raw_feature_get_data;

  // invoke the impulse
  EI_IMPULSE_ERROR res = run_classifier(&features_signal, &result, false /* debug */);
  //ei_printf("run_classifier returned: %d\n", res);

  if (res != 0) return;

  // print the predictions
  score = 0.0;
  //ei_printf("Predictions ");
  

  // human-readable predictions
  for (size_t ix = 0; ix < EI_CLASSIFIER_LABEL_COUNT; ix++) {
    //ei_printf("    %s: %.5f\n", result.classification[ix].label, result.classification[ix].value);
    if ( result.classification[ix].value >= score) {
            score = result.classification[ix].value;
            label = result.classification[ix].label;
    }
  }

  pScore = (int) (score*100);



  if(label == "nostove"){
    pLabel = 0;
  }else if(label == "stovewithhuman"){
    pLabel = 1;
  }else{
    pLabel = 2;
  }

  
  ei_printf("Predicted label = %s with score %f\n", label.c_str(), score);
  

}

//Returns true if the MLX90640 is detected on the I2C bus
boolean isConnected() {
  Wire.beginTransmission((uint8_t)MLX90640_address);
  if (Wire.endTransmission() != 0)
    return (false);  //Sensor did not ACK
  return (true);
}

void ei_printf(const char *format, ...) {
  static char print_buf[1024] = { 0 };

  va_list args;
  va_start(args, format);
  int r = vsnprintf(print_buf, sizeof(print_buf), format, args);
  va_end(args);

  if (r > 0) {
    Serial.write(print_buf);
  }
}

import json
import boto3
from botocore.exceptions import ClientError
import time




def lambda_handler(event, context):
    print("Received event: " + json.dumps(event))
    data = event["decoded"]["payload"]
    pinpoint_client = boto3.client('pinpoint')
    dynamoClient = boto3.client('dynamodb')
    
    app_id = "Add your app_id"
    origination_number = "Your aws long code"
    destination_number = "Add your phone number"
    message = ("Add your message")
    message_type = "TRANSACTIONAL"
    
    try:
        if data["label"] == 2:
            
            response = dynamoClient.get_item(TableName ="wio_terminal_stove_config",Key={"id": {"S" :"LAST_TEXT_SENT"}} )
            past = (int) (response['Item']['value']['S'])
            now = (int) (time.time())
            diff = now - past
            print("diffrence", diff)
            # don't send text within 15 
            if diff > 15*60:
                
                response = pinpoint_client.send_messages(
                    ApplicationId=app_id,
                    MessageRequest={
                        'Addresses': {destination_number: {'ChannelType': 'SMS'}},
                        'MessageConfiguration': {
                            'SMSMessage': {
                                'Body': message,
                                'MessageType': message_type,
                                'OriginationNumber': origination_number}}})
                
                response = dynamoClient.update_item(
                    TableName ="wio_terminal_stove_config",
                    Key={"id": {"S" :"LAST_TEXT_SENT"}},
                    AttributeUpdates={
                    'value': {"Value":{"S":str(now)}},
                    }
                )
                #print(response)
            
                if response["ResponseMetadata"]["HTTPStatusCode"] == 200:
                    print("data updated successfully")
                else:
                    print("data updated failed!!!")
                    
                    
    except ClientError:
        logger.exception("Couldn't send message.")
        raise
    
    return {
        'statusCode': 200,
        'body': json.dumps('Hello from Lambda!')
    }

Credits

Sashrika Das

4 projects • 32 followers

I am a 9th grade student, passionate about technology.

AEye: The artificial eye for your kitchen

Things used in this project

Hardware components

Software apps and online services

Story

Problems with stoves

How can my project help?

My implementation is AEye

Creating EI project

Data collection

Uploading the data to EI

Building the model

Setting up Helium

Register device with Helium

Integration with AWS

Create the Lambda function

Creating the rule

Creating the database

Code

Data Capture

AEye_Inference_lora

Lambda Function

data forwarder

Credits

Sashrika Das

Comments

Embed the widget on your own site

AEye: The artificial eye for your kitchen

AEye: The artificial eye for your kitchen

Things used in this project

Hardware components

Software apps and online services

Story

Problems with stoves

How can my project help?

My implementation is AEye

Creating EI project

Data collection

Uploading the data to EI

Building the model

Setting up Helium

Register device with Helium

Integration with AWS

Create the Lambda function

Creating the rule

Creating the database

Code

Data Capture

AEye_Inference_lora

Lambda Function

data forwarder

Credits

Sashrika Das

Comments

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