Introduction to the four-in-one application of Bosch gas sensor BME688 equipped with artificial intelligence

Bosch gas sensor BME688Introduction to 4-in-1 application with artificial intelligence

To meet this growing demand, Bosch Sensortec has developed the first* combination of gas, humidity, temperature and pressure sensing with innovative artificial intelligence released The integrated MEMS sensor BME688 for air quality creates the world\'s most compact four-in-one air quality measurement solution. This self-contained device enables customers to lower total cost of ownership, reduce development time and simplify design.

The first digital gas sensor equipped with artificial intelligence is ideal for new developing applications

Can be easily adapted for specific usage situationions such as detecting spoiled food, bad breath and forest fires

Four-in-one MEMS sensor in a compact package, accurate measurement of gas, humidity, temperature and air pressure, and lower total cost of ownership (TCO)

Based on the mature BME680 platform, it has industry-leading sensor performance and is enhanced by new artificial intelligence features

Whether at home, in the office or outside, users want to make sure that the air around them is clean and safe to breathe - the new crown epidemic has fully proven the importance of air quality. The ubiquitous airborne particles, gases and even viruses in the modern environment, as well as poor air quality, are having an increasingly negative impact on our health.

To onto meet this growing demand, Bosch Sensortec (Bosch) has introduced the first air quality MEMS sensor BME688 that combines gas, humidity, temperature and barometric pressure sensing with innovative artificial intelligence capabilities, creating a compact 4-in. -1 solution for measuring air quality is created. This standalone device enables customers to reduce total cost of ownership, reduce development time and simplify design.

The new BME688 is ideal for innovative custom applications such as current gas measurement , Track changes in temperature and humidity to detect food spoilage in time or detect forest fires in time. Thanks to the artificial intelligence capabilities of the sensor and Bosch Sensortec\'s new BME AI-Studio software tool, customers can quickly develop custom solutions, directly foror their specific use cases. To further reduce time-to-market, Bosch Sensortec also offers an Adafruit-compatible development kit.

Based on Bosch Sensortec\'s mature BME680 platform, BME688 built-in updates The gas sensor version achieves a wider measuring range and has advanced artificial intelligence functions. The gas sensor can now detect a wide variety of gases, including volatile organic compounds (VOCs), volatile sulfur compounds (VSCs), and other types of gases such as carbon monoxide and hydrogen, in the parts per billion (ppb) range.

“The BME688 combines a reliable high-precision sensor with a wide range of gas detection and innovative AI capabilities are combined,” said Dr. Stefan Finkbeiner, CEO of Bosch Sensortec, “This enables our customers to quickly implement applications of the VOto develop the next generation aimed at improving health, lifestyle and sustainability.”

For example, a customer may want to develop a sensor-based product to detect spoiled food. This can be indicated by the production of VSCs by bacteria in the food. In addition, bad breath or body odor can also be detected based on the VSCs produced by bacteria.

The best approach is to collect indicative real-life data directly in the field . For example, different combinations of VSCs present in a given air sample can be modeled by sampling the gas near fresh and decaying foods. BME688 standard VSCs can be detected very accurately under certain conditions, while BME AI-Studio can be optimized for other situations.ash mixtures and applications.

Sampling the gas in the field instead of in the lab allows the new detection equipment The derived algorithm used is more reliable in assessing the real situation. Along with gas data, the BME688 can simultaneously measure and feed humidity, barometric pressure and temperature as additional data for full artificial intelligence modelling.

In our sample application, the client classifies this large amount of data and then This was applied to the development of an artificial intelligence model in BME AIStudio, namely training the ability of the BME688 to recognize clear signs of bacterial growth on food. Once sensor training is complete, the final AI code is executed on the system microcontroller in the customer\'s final productt. This AI code is generally lightweight and can be easily run on microcontrollers currently used for system monitoring and management tasks.

BME688 is a mobile and developed for connected applications. The sensor comes in a compact package of only 3.0 x 3.0 x 0.9 mm3. Depending on the required data rate and functionality, the power consumption is configurable between 2.1 µA and 11 mA and optimized via BME AI-Studio.

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