
IoT-Based Smart Smoke Detector
Project Title :IoT-Based Smart Smoke Detector
Objective:
To design a smart smoke detection system using IoT that can sense the presence of smoke or fire-related gases and instantly alert users via a mobile app or cloud service, ensuring early fire prevention and safety.
What It Does:
Smoke Detection: Continuously monitors air for smoke or harmful gases (like CO or methane).
Instant Alerts: Sends real-time notifications or SMS/email to users if smoke or gas is detected.
Alarm Activation: Triggers a buzzer or alarm system locally for immediate attention.
Remote Monitoring: Allows users to monitor the status remotely via a mobile app or web dashboard.
Data Logging (Optional): Keeps historical data of gas levels for analysis or safety auditing.
Key Components:
Smoke/Gas Sensor:
MQ-2, MQ-135, or similar sensors to detect smoke, CO, and other gases.
Microcontroller:
ESP8266 or ESP32 to read sensor data and connect to Wi-Fi.
Alarm System:
A buzzer or siren to alert people nearby when smoke is detected.
Connectivity:
Wi-Fi module (built into ESP32/8266) to send alerts to cloud or mobile apps.
Cloud Platform:
Firebase, Blynk, or ThingSpeak to store and view sensor data remotely.
Mobile/Web Interface:
Displays real-time gas levels and alert status.
Technologies Used:
Languages: C/C++ (Arduino IDE), Python/JavaScript (for dashboard)
IoT Platforms: Blynk, Firebase, ThingSpeak
Sensors: MQ series gas sensors (e.g., MQ-2 for smoke and LPG)
Communication: Wi-Fi (HTTP/MQTT protocols)
Benefits:
Early detection of fire hazards reduces risk of property damage and injury
Remote alerts provide extra safety when users are away
Easy to install and cost-effective compared to traditional systems
Scalable to add more sensors in larger homes or buildings
Applications:
Homes, kitchens, apartments
Schools, offices, and factories
Warehouses or storage areas with flammable materials