Bosch BME688

The BME688 is the first gas sensor with Artificial Intelligence (AI) and integrated high-linearity and high-accuracy pressure, humidity and temperature sensors. It is housed in a robust yet compact 3.0×3.0×0.9mm³ package and especially developed for mobile & connected applications where size and low power consumption are critical requirements. The gas sensor can detect Volatile Organic Compounds (VOCs), volatile sulfur compounds (VSCs) and other gases such as carbon monoxide and hydrogen in the part per billion (ppb) range. Additionally to all features of the BME680, the BME688 has a gas scanner function. In standard configuration, the presence of VSCs is being detected as indicator for e.g. bacteria growth. And the gas scanner can be customized with respect to sensitivity, selectivity, data rate and power consumption as well. The BME AI-Studio tool enables customers to train the BME688 gas scanner on their specific application, like in home appliances, IoT products or Smart Home.

• Package: 3.0mm×3.0mm×0.93mm metal lid LGA
• Digital interface: I²C (up to 3.4MHz) and SPI (3 and 4 wire, up to 10 MHz)
• Supply voltage: VDD main supply voltage range: 1.71 V to 3.6 V; VDDIO interface voltage range: 1.2 V to 3.6 V
• Current consumption: 2.1μA at 1Hz humidity and temperature; 3.1μA at 1Hz pressure and temperature; 3.7μA at 1Hz humidity, pressure and temperature; 90μA at ULP mode for p/h/T & air quality; 0.9mA at LP mode for p/h/T & air quality; 3.9mA in standard gas scan mode; 0.09 - 12mA for p/h/T/gas in customized operation modes; 0.15μA in sleep mode
• Operating range: -40 - +85 ℃, 0 - 100% r.H., 300 - 1100 hPa
• The product is RoHS compliant, halogen-free, MSL1

• Indoor and outdoor air quality measurement
• Bad breath or spoiled food detection based on the measurement of volatile sulfur compounds, which are an indicator of bacteria growth
• Detection of unusual gases and smells, which might indicate for instance a leakage or fire
• Diaper state detection, e.g. for baby care
• Early detection of odors & bad smells
• Wildfire detection
• Handsets such as mobile phones, tablet PCs, GPS devices
• Wearables e.g. smart watches or connected sensors
• Mobile / care devices like toothbrushes or breath checkers
• Smart home devices, e.g. smart speakers, connected sensors or lamps
• Room climate sensors & weather stations
• Home appliances
• Gaming, e.g. flying toys
• Connected devices, for instance for asset tracking or surveillance
• Sensor networks / sensor nodes