SKU: SENS-0489
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BME688 Blackboard Environmental Sensor Module - AI-Powered Gas, Temperature, Humidity & Pressure Sensor

₹1,699.00 (Inclusive of all taxes)
Out of Stock

The BME688 Blackboard Environmental Sensor Module is a compact, AI-powered 4-in-1 environmental sensor integrating precise temperature, humidity, barometric pressure, and volatile organic compound (VOC) detection. It features I2C/SPI digital interfaces for seamless integration with Arduino, Raspberry Pi, ESP32, and other 3.3V/5V microcontroller platforms.

Features

  • AI-powered gas sensing for VOCs, VSCs, CO, and Hâ‚‚ detection in ppb range
  • Integrated high-accuracy temperature, humidity, and barometric pressure sensors
  • Ultra-low power consumption (120µA typical) ideal for battery-powered IoT and mobile applications
  • Compact 19mm x 17mm PCB footprint with standard 0.1″ header pin compatibility
  • Digital I2C and SPI interfaces for easy microcontroller and SBC integration

Out of stock

Description

The BME688 module is a highly integrated environmental sensing solution based on Bosch Sensortec’s MEMS technology. It combines a calibrated gas sensor with metal-oxide (MOX) technology for detecting a wide range of volatile organic compounds and gases at parts-per-billion sensitivity, alongside precise Bosch MEMS sensors for temperature, humidity, and barometric pressure. The integrated AI capabilities allow the sensor to be trained for specific gas profiles and environmental contexts using the dedicated BME AI-Studio software suite.

Designed for ultra-low power operation, the module is suited for always-on applications in smart home devices, wearable health monitors, and portable environmental data loggers. The digital output ensures stable readings with minimal signal conditioning required, providing a robust sensor platform for developers and engineers focused on air quality monitoring and contextual awareness.

Key Features

  • Bosch Sensortec BME688 4-in-1 environmental sensor with integrated MOX gas sensor.
  • AI-driven gas sensing algorithm support for pattern recognition and classification via BME AI-Studio.
  • High-accuracy and linearity for temperature (±0.5°C), humidity (±3% RH), and pressure (±0.6 hPa) measurements.
  • Ultra-low power consumption profile, optimized for battery-powered IoT and mobile applications.
  • Compact and rugged PCB module design with pre-soldered header pins for rapid prototyping.
  • Digital I2C (up to 3.4 MHz) and SPI (up to 10 MHz) communication interfaces.
  • Wide operating voltage range (1.71V to 3.6V) compatible with 3.3V and 5V logic systems.

Applications

  • Indoor Air Quality (IAQ) monitoring in smart HVAC systems and air purifiers.
  • Portable environmental data loggers and personal exposure assessment devices.
  • Smart home automation for context-aware climate and ventilation control.
  • Wearable health and wellness trackers monitoring ambient environment.
  • IoT sensor nodes for agricultural and industrial environmental monitoring.

Technical Specifications

Manufacturer Part NumberBME688
Sensor TypeEnvironmental (Gas, Temperature, Humidity, Pressure)
Gas Sensing PrincipleMetal-Oxide (MOX)
Detectable GasesVOCs, VSCs, Carbon Monoxide, Hydrogen
Gas Detection RangeParts-per-billion (ppb) levels
Temperature Accuracy±0.5°C
Humidity Accuracy±3% RH
Pressure Accuracy±0.6 hPa
InterfaceI2C, SPI
Operating Voltage1.71V - 3.6V
Power Consumption~120 µA (typical)
Module Dimensions (L x W)19 mm x 17 mm
Module Weight2 g

Frequently Asked Questions

What is the operating voltage range for the BME688 module?

The BME688 sensor operates from 1.71V to 3.6V DC. While the sensor core itself is a 3.3V device, many compatible breakout modules include level shifting or are designed to be powered directly from a 3.3V supply on your microcontroller or development board.

How do I interface the BME688 with an Arduino or Raspberry Pi?

The BME688 communicates via digital I2C or SPI interfaces. For Arduino, use libraries like "Bosch Sensortec BME688" or "Adafruit BME688". Connect the I2C pins (SDA, SCL) to the corresponding pins on your board, ensuring a common ground. For Raspberry Pi, enable I2C in the configuration and use Python libraries such as "bme680" or "smbus2" for communication.

What does the AI functionality in the BME688 enable?

The AI functionality refers to the sensor's ability to be trained for specific gas profiles and environmental patterns using Bosch's BME AI-Studio software. This allows the sensor to classify complex gas mixtures and recognize specific air quality scenarios, moving beyond simple ppb measurement to contextual awareness for applications like food freshness detection or specific pollutant identification.

Can this sensor detect Carbon Dioxide (CO2)?

No, the BME688 is primarily a Metal-Oxide (MOX) sensor optimized for detecting Volatile Organic Compounds (VOCs), Volatile Sulfur Compounds (VSCs), Carbon Monoxide (CO), and Hydrogen (H2). It does not measure Carbon Dioxide (CO2) levels; for CO2 detection, a dedicated NDIR sensor like the SCD40 or SGP30 would be required.

Package Includes

  • 1 x BME688 Blackboard Environmental Sensor Module
  • 2 x Header Pin Strips

Additional Information

Weight 0.002 kg
Dimensions 1.9 × 1.7 cm