IOT Based Smart Fire detection

5000 ~~9000~~

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Functionalities:

Real-time Monitoring:
- Sensors continuously monitor smoke, temperature, and gas levels, sending data to the microcontroller.
Data Transmission:
- The microcontroller transmits sensor data to the cloud server for processing and storage.
Cloud Processing:
- The cloud server analyzes the data to detect fire hazards and triggers alerts if thresholds are exceeded.
Alerts and Notifications:
- Sends immediate alerts to users and authorities via mobile apps, SMS, or email in case of a detected fire hazard.
Remote Management:
- Users can remotely monitor the status of their fire detection system and control it via a mobile app or web interface.

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Description

An IoT-based fire detection system leverages modern sensors, microcontrollers, and communication technologies to provide early detection and alerts for fire hazards. This system is designed to enhance safety by providing real-time monitoring, rapid response, and remote management capabilities.

Key Components:

Sensors:
- Smoke Sensors: Detect the presence of smoke, which is an early indicator of fire.
- Temperature Sensors: Measure the ambient temperature and detect rapid increases that may indicate a fire.
- Gas Sensors: Detect the presence of combustible gases that may indicate a potential fire hazard.
Microcontroller:
- Arduino or Raspberry Pi: Acts as the central unit to collect data from the sensors and communicate with the cloud.
Communication Modules:
- WiFi, GSM, or LoRa: Used for transmitting sensor data to the cloud server or alerting systems.
Power Supply:
- Battery or Mains Power: Ensures the system remains operational at all times.
Cloud Server:
- Stores and processes data received from the sensors, triggering alerts and maintaining logs.
User Interface:
- Mobile Application or Web Dashboard: Allows users to monitor the system in real-time and receive alerts.