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Summarize this content to 100 words The developer Justin Lutz (Justin Lutz) presented the project of a device that determines when it is time to change a child’s diaper. The project is implemented on the basis of the Nicla Sense Me board from the Arduino company.The Nicla Sense ME board has an integrated BME688 sensor from Bosh. The device allows you to measure pressure, temperature, humidity and analyze gas with the help of artificial intelligence. It was this sensor that Lutz used in his project.Usually, the diaper is changed at the moment when it starts to smell bad, and this can threaten the rash and irritation on the baby’s skin. Ideally, the diaper should be changed as soon as it becomes dirty, but parents cannot always keep track of this. A soiled diaper also emits volatile organic compounds and fine particles that can be detected using the BME688 sensor.Lutz compiled a history of 29 minutes of air quality measurements for a dirty and a clean diaper. After that, the data was used to develop a machine learning model. At this step, the author of the project used the Edge Impulse platform, which facilitates the process of data collection and model training. The result was a system with an accuracy of 95.6%.At the second stage of the project, Lutz developed a mobile application for Android that communicates with the board using Bluetooth. The finished device can be attached to a diaper and receive notifications on a smartphone. Also, during testing, the author of the project found out that the device does not work well in small rooms due to carbon dioxide released during breathing. To solve the problem, Lutz calibrated the sensor.The project’s source code is available on GitHub, and Lutz’s detailed build process is posted on the Edge Impulse blog.
An enthusiast has made a device that tells when it’s time to change a baby’s diaper
The developer Justin Lutz (Justin Lutz) presented the project of a device that determines when it is time to change a child’s diaper. The project is implemented on the basis of the Nicla Sense Me board from the Arduino company.
The Nicla Sense ME board has an integrated BME688 sensor from Bosh. The device allows you to measure pressure, temperature, humidity and analyze gas with the help of artificial intelligence. It was this sensor that Lutz used in his project.
Usually, the diaper is changed at the moment when it starts to smell bad, and this can threaten the rash and irritation on the baby’s skin. Ideally, the diaper should be changed as soon as it becomes dirty, but parents cannot always keep track of this. A soiled diaper also emits volatile organic compounds and fine particles that can be detected using the BME688 sensor.
Lutz compiled a history of 29 minutes of air quality measurements for a dirty and a clean diaper. After that, the data was used to develop a machine learning model. At this step, the author of the project used the Edge Impulse platform, which facilitates the process of data collection and model training. The result was a system with an accuracy of 95.6%.
At the second stage of the project, Lutz developed a mobile application for Android that communicates with the board using Bluetooth. The finished device can be attached to a diaper and receive notifications on a smartphone. Also, during testing, the author of the project found out that the device does not work well in small rooms due to carbon dioxide released during breathing. To solve the problem, Lutz calibrated the sensor.
The project’s source code is available on GitHub, and Lutz’s detailed build process is posted on the Edge Impulse blog.