HVS-2145. Automatic Fatality Prevention And Emergency Aid System

hvsadmin — Fri, 14 Aug 2026 07:56:42 +0000

The main aim of this project is to develop an automatic fatality prevention and Emergency AID system using sensors like ADXL345 MEMS accelerometer, SR04 Ultrasonic sensor, IR Flame sensor for preventing accident and fire detections. The project also aims in tracking of the vehicle using GPS and GSM modules. In case of emergency situations, it sends an automatic SMS alerting message to the authorities.

Ultrasonic sensor is an echo-based sensor which can transmit the sound waves and receives in an echo by using this we can find the distance of the object and prevent the vehicle to hit the object. MEMS is a Micro electro mechanical sensor which is a highly sensitive sensor and capable of detecting the tilt used for accident detection. The system consists of cooperative components of MEMS accelerometer sensor, Ultrasonic sensor, IR flame sensor, Arduino microcontroller unit, GPS device and GSM module. In the event of accident, this wireless device will send to mobile phone as a short message indicating the position of vehicle by GPS system to respective authorities, emergency medical service (EMS) and nearest hospital. The threshold algorithm and speed of motorcycle are used to determine fall or accident in real-time. The system also alerts through SMS messages when any fire accidents occurred was detected using IR flame sensor

The system is compact and easy to install under rider seat. An accelerometer can be used in a car alarm application. Dangerous driving can be detected with an accelerometer. It can be used as a crash recorder of the vehicle movements before, during and after a crash. With signals from an accelerometer, a severe accident can be recognized. The system also alerts when engine gets over heated or any fire accident was detected using IR flame sensor. This project makes use of an onboard Arduino microcontroller, which is commonly termed as micro controller.

Features:

MEMS based user-friendly interfacing
SR04 Ultrasonic sensor for obstacle detection
Detection of Dangerous driving
IR flame sensor for fire detection
Highly Sensitive
Location based alerts in the for SMS messages sing GSM
Accident detection suing MEMS and fire sensors
Audible and visual alerts using LCD and buzzer
Implementation of REAL TIME embedded system which involves hardware and software interaction.

The major building blocks of this project are:

Regulated power supply with voltage regulator.
MEMS accelerometer sensor.
GPS module.
SR04 Ultrasonic sensor (obstacle detection)
IR flame sensor (fire detection)
LCD
Buzzer
Arduino UNO Microcontroller.
GSM Modem.

Software’s used:

Arduino IDE for compiling and dumping code into Microcontroller
Express SCH for Circuit design.

Block Diagram:

video:

HVS-4879. Advanced Firefighting Robot with Line Following

hvsadmin — Thu, 11 Jun 2026 11:55:09 +0000

Fire accidents pose a significant threat to life and property, necessitating the development of intelligent and autonomous firefighting systems. This project presents an Advanced Fire Fighting Robot with Line Following capabilities, designed to navigate predefined paths and combat fire hazards effectively. The robot is equipped with flame sensors to detect fire, a DC fan mechanism for extinguishing flames.

For autonomous navigation, the robot utilizes line-following technology, enabling it to follow a designated path using 4-IR sensors. This robot consist of Ultrasonic sensor is uses to detect the obstacle while moving. The main controlling device of the project is Arduino Nano microcontroller. To achieve this task microcontroller loaded program written in Embedded C language.

In emergency situations, the robot can autonomously detect fire, navigate towards the source, and deploy fire suppression mechanisms. Its compact design, real-time sensing capabilities, and autonomous decision-making make it a valuable asset for fire safety in industrial, commercial, and residential environments. This project aims to enhance firefighting efficiency while minimizing human risk in hazardous conditions.

Objectives:

To design an autonomous fire-fighting robot using Arduino Nano.
To detect fire using flame sensors.
To follow a predefined path using IR line-following sensors.
To avoid obstacles using an ultrasonic sensor.
To extinguish fire automatically using a DC fan.
To reduce human risk during fire emergencies.
To improve firefighting efficiency and response time.
To provide a low-cost and reliable fire safety solution.