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https://github.com/sefakcmn00/fire-detection-using-haar-cascade-classifier-in-opencv
It is the Fire detection project with Arduino of our Computer Vision work with Opencv. In this project, when fire detection was detected using Opencv intelligence libraries, the LED on the Arduino burned, the detection text was printed on the buzzer and LCD screen. I tried to explain the details of the project step by step below.
https://github.com/sefakcmn00/fire-detection-using-haar-cascade-classifier-in-opencv
ardunio-uno cascade computer-vision firedetection opencv python
Last synced: 3 days ago
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It is the Fire detection project with Arduino of our Computer Vision work with Opencv. In this project, when fire detection was detected using Opencv intelligence libraries, the LED on the Arduino burned, the detection text was printed on the buzzer and LCD screen. I tried to explain the details of the project step by step below.
- Host: GitHub
- URL: https://github.com/sefakcmn00/fire-detection-using-haar-cascade-classifier-in-opencv
- Owner: sefakcmn00
- Created: 2022-08-04T13:37:35.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-08-04T13:56:45.000Z (over 2 years ago)
- Last Synced: 2023-03-07T13:22:48.300Z (over 1 year ago)
- Topics: ardunio-uno, cascade, computer-vision, firedetection, opencv, python
- Language: C++
- Homepage:
- Size: 12.7 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# # Fire-Detection-using-HAAR-Cascade-Classifier-in-OpenCV
It is the Fire detection project with Arduino of our Computer Vision work with Opencv. In this project, when fire detection was detected using Opencv intelligence libraries, the LED on the Arduino burned, the detection text was printed on the buzzer and LCD screen. I tried to explain the details of the project step by step below.
## Setup
1. OpenCV for Windows - 3.4.9
2. OpenCV Python Library - 4.4.0
3. Numpy - 1.18.1
4. Serial Library in Python - 3.4
## Training of Classifier
1. Dataset for training was generated by capturing images from the webcam of the laptop and saving them using capture_images.py
2. opencv_annotation.exe was used to mark out the regions containing fire in positive training images.
3. positives.vec file was generated using opencv_createsamples using appropriate width and height parameters.
4. Classifier was trained using opencv_traincascade and cascade.xml file was produced as an output.
## Download Library
First, we will download the libraries we will use.
```Python
import numpy as np
import cv2
import serial
import time
```
### Code block that we connect to Arduino
```Python
ser1 = serial.Serial('COM5',9600)
```
### Arduino Code Block
```Python
#include
#include
SoftwareSerial gsm_module(9, 10); //initialise serial ports for communication with GSM module
#include
const int rs = 7, en = 6, d4 = 5, d5 = 4, d6 = 3, d7 = 2;
LiquidCrystal lcd(rs, en, d4, d5, d6, d7); //initialise LCD display
int pump=13; //pin for contrlling water pump
int LED=12; //pin for controlling LEDs
int buz=11; //pin for controlling buzzer
int d=0;
int ledState = LOW; //initial LED state
int pumpState = LOW; //initial water pump state
unsigned long previousMillis = 0;
const long interval = 200;
unsigned long previousMillis2 = 0;
const long interval2 = 30000;
void setup() {
gsm_module.begin(9600); //start communication with GSM
lcd.begin(16, 2); //start communication with LCD
pinMode(LED, OUTPUT); //initialise LED pin as OUTPUT
pinMode(buz, OUTPUT); //initialise buzzer pin as OUTPUT
pinMode(pump, OUTPUT); //initialise pump pin as OUTPUT
lcd.print("HEllO");
Serial.begin(9600); //start serial communication with PC
}
void loop() {
d=Serial.read(); //read output from PC
if(d == 'p') { //if fire detected
lcd.clear();
lcd.print(" Fire Detected "); //diaplay message on LCD
SendMessage(); //send message to owners number
Blink(); //activate water pump, LEDs and buzzer
}
if(d == 's' ) { //if no fire detected
lcd.clear();
lcd.print("Capturing Video...");
digitalWrite(LED, LOW);
digitalWrite(buz, LOW);
unsigned long currentMillis2 = millis();
if((unsigned long)(currentMillis2 - previousMillis2) >= interval2) {
digitalWrite(pump, LOW);
previousMillis2 = currentMillis2;
}
delay(5);
}
}
void SendMessage() { //Functon for sending message
gsm_module.println("AT+CMGF=1"); //Sets the GSM Module in Text Mode
delay(1000); // Delay of 1000 milli seconds or 1 second
gsm_module.println("AT+CMGS=\"+919988872138\"\r"); //Phone number on which alert is sent
delay(1000);
gsm_module.println("Fire detected at LAT: 30.742308, LONG: 76.738843"); //SMS alert
delay(100);
gsm_module.println((char)26); //ASCII code of CTRL+Z
delay(1000);
}
void Blink() { //Function for controlling LEDs, pump, buzzer
unsigned long currentMillis = millis();
if (currentMillis - previousMillis >= interval) {
previousMillis = currentMillis;
ledState = HIGH;
digitalWrite(LED, HIGH);
digitalWrite(buz, HIGH);
digitalWrite(pump, HIGH);
delay(5000);
}
}
```
