Gravity: PWM NDIR Infrared Carbon Dioxide / CO2 Sensor (400-5000 ppm)

CODICE MEPA: 012315839
BRAND: DFRobot
CODICE PRODUTTORE: SEN0219
CODICE SKU: DF-SEN0219
Disponibilità: 40 Disponibilità (legenda)
81,20 (escl. IVA)
Descrizione completa
Introduction

The Gravity: PWM Infrared CO2 Sensor is a high-precision module engineered for quantitative measurement of carbon dioxide. It operates on the principle of Non-Dispersive Infrared (NDIR) technology to deliver stable, selective, and accurate data. The sensor's key features—high accuracy, exceptional stability, and a long service life—are backed by concrete performance metrics. With a standard indoor air quality detection range of 400 to 5000 ppm and a fine resolution of 1 ppm, it is the definitive choice for data-driven applications such as IAQ monitoring, smart HVAC systems, and scientific research.


High-Accuracy NDIR Technology

This CO2 Sensor provides precise, quantitative readings, not just estimates. The NDIR technology targets the specific absorption wavelength of CO2, ensuring high selectivity. This performance is quantified by its specifications: an accuracy of ±(50ppm + 5% of reading) and a resolution of 1 ppm. The data is reliably transmitted via a PWM output signal, providing trustworthy data for analysis and control systems.


Exceptional Long-Term Stability

Designed for continuous and reliable monitoring, this NDIR CO2 sensor maintains its performance across a wide range of real-world conditions. It operates consistently in temperatures from -10℃ to 50℃ and in humidity levels up to 95% RH (non-condensing). Featuring built-in temperature compensation and a swift response time (T90 < 120s), it exhibits minimal signal drift, reducing the need for frequent recalibration in long-term, unattended deployments.


Extended 5-Year Service Life

The robust NDIR sensor element is engineered for longevity, contributing to a service life of up to five years under normal operating conditions. This reliability is supported by an efficient electronic design, with an average current draw of just 40mA at 5V. This extended lifespan offers a lower total cost of ownership and greater peace of mind for permanent installations like smart home devices or building automation systems.


Choosing the Right CO₂ Sensor?

With different technologies like NDIR, Electrochemical, and Photoacoustic, selecting the perfect sensor can be complex. The comprehensive guide breaks down the key differences and recommends the best sensor for 5 common project scenarios.

» Read the Full 2025 CO₂ Sensor Selection Guide

Specification
  • Detection Gas: Carbon Dioxide (CO2)
  • Power Supply: 5.0±0.1V DC
  • Average Current: 40mA@5V
  • Output Signal: PWM
  • Detection Range: 400~5000 ppm
  • Resolution: 1ppm
  • Accuracy: ±(50ppm+5% rdg)
  • Response Time: T90 < 120s
  • Working Temperature: -10℃~50℃
  • Working Humidity: 0~95%RH (non-condensing)
  • Dimensions: 69×37mm / 2.72×1.46"
  • Shipping List
  • Gravity: PWM Infrared CO2 Sensor (400-5000 ppm) x1
  • Digital Sensor Cable for Arduino x1
  • Documents
  • Product Wiki
  • ESP32 Arduino: Using an infrared CO2 sensor
  • ESP32 Arduino: Temperature, humidity and CO2 concentration web server
  • Projects

    Project 1: Making An Indoor Air Quality Monitor With A DFRobot CO2 Sensor

    Introduction: This video is going to be making an indoor air quality monitor using a DFRobot CO2 Sensor and a BME280 Environment Sensor. Together these sensors will provide, CO2 concentration, temperature, air pressure and humidity readings, which will be locally available on an OLED display and will be accessible over the internet through a Grafana dashboard.

    Project 2: How to Interface Gravity Infrared CO2 Sensor with Arduino to Measure Carbon Dioxide in PPM

    Introduction: This tutorial is going to interface the Gravity Infrared CO2 Sensor with Arduino to measure the CO2 concentration in PPM.

    Applications
  • Indoor Air Quality (IAQ) Monitoring: Build a device to accurately track CO2 levels in homes, offices, or classrooms to manage ventilation and improve health and productivity.
  • Smart Home & HVAC Systems: Integrate with HVAC systems to automatically introduce fresh air when CO2 levels rise, creating a smarter and more efficient climate control system.
  • Scientific & Agricultural Tech: Use in labs, greenhouses, or other controlled environments where precise CO2 concentration data is crucial for research or optimizing plant growth.