BME688’s BSEC 2 software library (provided free) fuses the four sensor outputs using a trained AI model to produce composite air quality (IAQ), CO2-equivalent (eCO2), and breath-VOC (bVOC) indices that individual sensors cannot derive alone. The gas sensor’s hot-plate design sequentially targets different chemical groups by varying operating temperature, enabling fingerprinting of specific VOC sources — burning toast versus paint fumes, for example. BME688 AI Studio allows custom training on the device’s own multi-sensor data stream without sending data to the cloud, protecting proprietary scent and process fingerprints. At 3 µA in ultra-low-power mode, it suits battery-operated air quality tags. No external components beyond decoupling capacitors required.
IoT Product
Hardware & Devices
Bosch Sensortec
Bosch BME688 integrates gas, humidity, temperature, and barometric pressure in a 3x3 mm footprint, with an onboard AI engine for VOC, CO2-equivalent, and air quality pattern recognition at the edge.