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2pcs BME680 MCU-680 3-5V Temperature Humidity and Pressure Sensor Development Board Compatible with Raspberry Pi

KWD 11

Brand
YFUSET
Weight
46 g
All electronics ship with US style plugs. You may need a voltage converter or a plug adapter.
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Special Features

  • Comprehensive Environmental Measurement:The BME680 environmental sensor measures four essential parameters: VOC (Volatile Organic Compounds), temperature, humidity, and pressure, offering complete environmental data for your projects and applications
  • Advanced Gas and Humidity Sensing:Equipped with a gas sensor that has a fast response time (33-63%) of under 1 second and ultra-low power consumption of <0.1mA in sleep mode, the sensor also provides direct Indoor Air Quality (IAQ) index output; The humidity sensor has a response time of around 8 seconds (0-63%), and it communicates via I2C or SPI
  • Precise Voltage and Accuracy:Operating at a voltage range of 3-5VDC, the sensor delivers precise humidity readings with an accuracy tolerance of ± 3%RH and a hysteresis of ± 1.5%RH, ensuring reliable data for monitoring air quality
  • Compact and Convenient Design:With dimensions of 16mm × 14mm(0.63in×0.55in), the sensor is compact, space-efficient, and comes with a convenient pin header for easy integration into your projects, making it ideal for tight spaces or portable setups.
  • Two Sensors for Easy Replacement:This product includes two BME680 sensors, providing a backup for easy replacement, enhancing product longevity

Description

The BME680 Sensor is a 4-in-1 sensor capable of measuring four parameters: VOC (Volatile Organic Compounds), temperature, humidity, and pressure. It is ideal for detecting air quality. The sensor is compact and has low power consumption, making it suitable for low-power applications such as wearables.
The BME680 sensor uses an I2C interface and features an onboard power regulator and level-shifting chip, ensuring good compatibility with both 3.3V and 5V systems. An SPI interface is also reserved for easy expansion. This product is highly integrated and can simultaneously detect four environmental parameters, making it suitable for scenarios like weather stations, smart homes, and the Internet of Things (IoT).

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