Description

Product Overview

The Air Pollution Monitoring System Using Arduino UNO is an educational DIY kit that introduces students and makers to environmental monitoring and embedded systems. Using gas sensors, an Arduino UNO, LCD display, relay, and buzzer, the system continuously monitors air quality and alerts users when pollution levels exceed safe limits.

Ideal for STEM education, engineering projects, and smart city applications, this kit provides practical experience in sensor interfacing, automation, and environmental technology.

Key Features

• Real-time air quality monitoring
• Detects smoke and harmful gases
• Live AQI display on LCD screen
• Buzzer alert for high pollution levels
• Arduino UNO based system
• Optional IoT & cloud monitoring support
• Fast response and accurate sensing
• Easy DIY assembly with reusable components
• Ideal for environmental and STEM projects

What’s Included

• Arduino UNO Compatible Board
• Air Quality / Gas Sensor Module
• 16×2 LCD Display
• Buzzer Module
• Relay Module
• Jumper Wires
• Breadboard / PCB
• USB Programming Cable
• Power Supply Components

Component availability may vary slightly depending on the kit version.

How It Works

1. The gas sensor continuously monitors surrounding air.
2. Arduino UNO reads the sensor values.
3. Air Quality Index (AQI) and environmental data are displayed on the LCD.
4. If pollution crosses the preset threshold, the buzzer activates immediately.
5. The system can optionally send data to cloud platforms for remote monitoring.
6. Users receive real-time information to help maintain a healthier environment.

Learning Outcomes

After completing this project, you’ll learn:

• Arduino Programming
• Air Quality Monitoring
• Gas Sensor Interfacing
• Embedded Systems
• LCD Display Programming
• Buzzer & Alert Systems
• Environmental Monitoring
• Data Processing
• Circuit Design
• Smart City Technologies

Skills You’ll Learn

• Embedded Programming
• Sensor Calibration
• Electronics Fundamentals
• Environmental Monitoring
• Circuit Assembly
• Automation Logic
• Data Visualization
• Problem Solving