AM2302 (wired DHT22) temperature-humidity sensor

Product ID: 393
$15.00
Qty Discount
1-9 $15.00
10-99 $13.50
100+ $12.00

Description

Discontinued - you can grab AM2301B - Wired Enclosed AHT20 - Temperature and Humidity Sensor instead!

The AM2302 is a wired version of the DHT22, in a large plastic body. It is a basic, low-cost digital temperature and humidity sensor. It uses a capacitive humidity sensor and a thermistor to measure the surrounding air and spits out a digital signal on the data pin (no analog input pins needed). It's fairly simple to use but requires careful timing to grab data. The only real downside of this sensor is you can only get new data from it once every 2 seconds, so when using our library, sensor readings can be up to 2 seconds old.

Simply connect the red 3-5V power, the yellow wire to your data input pin, and the black wire to ground. Although it uses a single wire to send data it is not Dallas One Wire compatible! If you want multiple sensors, each one must have its own data pin.

We have an Adafruit Learning System guide with schematics, Arduino & CircuitPython code, datasheets, and more!

Compared to the DHT11, this sensor is more precise, more accurate, and works in a bigger range of temperature/humidity, but it's larger and more expensive.

There is a 5.1K resistor inside the sensor connecting VCC and DATA so you do not need any additional pullup resistors

Play video: DHT11/22 Temp Sensor Trouble - Collin’s Lab Notes #adafruit #collinslabnotes

Technical Details

  • Low cost
  • 3 to 5V power and I/O
  • 2.5mA max current use during conversion (while requesting data)
  • Good for 0-100% humidity readings with 2-5% accuracy
  • Good for -40 to 80°C temperature readings ±0.5°C accuracy
  • No more than 0.5 Hz sampling rate (once every 2 seconds)
  • Body size 27mm x 59mm x 13.5mm (1.05" x 2.32" x 0.53")
  • 3 wires 23cm long (9")
  • 27mm wide x 58.75mm tall x 13.30mm deep

We have a Adafruit Learning System guide with schematics, Arduino & CircuitPython code, datasheets and more!

 

Learn

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