Smart Fire Alarm – Portfolio Showcase

Mission Statement

To create a user-friendly, accessible fire alarm system that meets the needs of disabled individuals and offers smart functionalities for boarder user appeal in U.S. residences.

Overview

The Smart Fire Alarm integrates flame, gas, and temperature sensors with an Arduino Uno to detect hazardous conditions in real time. Unlike traditional smoke detectors, it uses multi-sensor fusion to reduce false alarms and provides layered outputs including a buzzer, LCD, and LED status indicators.

Below is each person's subsystem help to build this system as a whole. This project incourapte both hardware and software tasks from Detection system to Full Stack App in our mobile devices.

Individuals Subsystem Block — A diagram illustrates all the subsystems in the final design, which can be divided into two groups: hardware and software.

Detection System Demo

Demo video: alarm triggers when flame is detected.

Detection System Schamtic — Schamtic Diagram.

Smart Fire Alarm breadboard setup — Inital Design.

Equipment & Tools

Microcontroller

Arduino Uno

Sensors

Flame sensor (IR)
Gas sensor MQ-2
Temperature sensor LM35

Outputs

Piezo buzzer
16x2 LCD display
LED indicators (status & warning)

Other Components

Breadboard, jumper wires, resistors
5V regulated supply

Software Tools

Arduino IDE (C programming)
Proteus (circuit simulation)
LTSpice (sensor behavior)

Testing

Multimeter
Lighter/candle for flame tests
Incense/smoke for gas tests

Technical Breakdown

System Design

Inputs: flame, gas, and temperature sensors feed Arduino.
Logic: sensor values compared against safety thresholds.
Outputs: buzzer, LCD, and LEDs provide user feedback.

Operation Modes

Normal: LCD shows “Safe,” green LED on, buzzer off.
Warning: Elevated temp/gas; yellow LED + LCD warning.
Alarm: Flame or critical gas detected; buzzer + red LED.

Challenges & Trade-offs

Gas sensor calibration required to avoid false triggers.
Flame sensor noise under bright light required filtering.

Future Improvements

Better Shell
Better Wireless alerts (IoT integration).
Rechargeable battery backup for outages.
Backend functionalities upgrade for faster processing + cloud logging.

What I Learned

Practical circuit debugging, simulation, and testing skills.
Dealing with noise and false positives in sensor-driven systems.
Designing for usability and safety in embedded systems.

References

Full documentation, schematics, and test results are available in the project report.

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