DFRobot Gravity ENS160 Air Quality Sensor

  1. Power Supply Voltage: 3.3 V~5.5 V
  2. Working Current: 29 mA
  3. Interface Mode: I2C
  4. Less than 3 minutes warm-up time, get data faster.
  5. Built-in algorithm, more accurate output.
SKU: 79962

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IBOTS1000

2,499.00

  • Pick up from the IBOTS Store

Free

  • Delivery Charges: Tamil Nadu

₹75 for parcels below 1 Kg and ₹100 for parcels weighing between 1 Kg to 2 Kg.

2-3 Days

₹75

  • Delivery Charges: Other South India

₹125 for parcels below 1 Kg and ₹175 for parcels weighing between 1 Kg to 2 Kg.

2-3 Days

₹125

  • Delivery Charges: North India

₹250 for parcels below 1 Kg and ₹325 for parcels weighing between 1 Kg to 2 Kg.

2-3 Days

₹250

  • Courier delivery

Our courier will deliver to the specified address

2-3 Days

Rs. 99

  • Warranty 1 year
  • Free Returns Policy

Payment Methods:

1. Order the Product and Specify the Delivery Method

2. You Will Receive an Order Confirmation Message

3. Wait for Your Order to Arrive

4. Pick up Your Order at The Checkout Area

Description

This Gravity: ENS160 Air Quality Sensor, based on Scio Sense’s new ENS160 sensor chip, is specifically designed for indoor air quality monitoring and offers detection of multiple IAQ data (TVOC, eCO2, AQI). The innovative True VOC™ technology combines the metal oxide (MOX) technology that brings this sensor superior accuracy, fast response, anti-interference, etc. With intelligent on-chip algorithms, the ENS160 can directly output rich and easy-to-understand environmental data. Preheat the sensor 3 minutes before use then you can obtain accurate data more quickly. What’s more, the built-in automatic baseline correction algorithm ensures the long-term stability of the sensor.

Applications:

  1. Air purification/home automation device.
  2. Environmental pollution detection.
  3. HVAC/Ventilation system.
  4. Building automation/smart thermostat.
  5. Electrical appliances/ range hoods.

Features:

  1. Multiple IAQ outputs (TVOC, eCO2, AQI), various environmental data.
  2. Less than 3 minutes warm-up time, get data faster.
  3. Built-in algorithm, more accurate output.
  4. Automatic baseline correction, more stable for long-term use.

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