AI Thermometer
Measure water temperature using machine learning
What's AI Thermometer APK?
AI Thermometer is a app for Android, It's developed by Petter Säterskog author.
First released on google play in 4 years ago and latest version released in 2 years ago.
This app has 17.4K download times on Google play and rated as 3.83 stars with 70 rated times.
This product is an app in Tools category. More infomartion of AI Thermometer on google play
This app listens when you pour hot water into a cup and analyzes the pouring noise to estimate the water temperature.
The accuracy reaches ±4 degrees when tested under optimal conditions but is generally lower. The accuracy is higher at high temperatures and it can be useful for e.g. brewing different teas at their correct temperatures but it is not intended to be used for temperatures less than 50°C (122°F).
The app visualizes a probability distribution and gives an 80% confidence interval for the temperature that depends on the vessel, pouring technique, and background noise. The probability distribution has been verified on a wide range of setups, but still assumes a prior distribution of pouring setups.
How does it work?
The properties of water and air vary with temperature. This results in changes in how noise is generated from pouring water. This app uses a pre-trained machine learning model to analyze pouring noises to get an estimate of the temperature. The longer time you pour, the more noise it receives, and it can give better estimates.
The accuracy reaches ±4 degrees when tested under optimal conditions but is generally lower. The accuracy is higher at high temperatures and it can be useful for e.g. brewing different teas at their correct temperatures but it is not intended to be used for temperatures less than 50°C (122°F).
The app visualizes a probability distribution and gives an 80% confidence interval for the temperature that depends on the vessel, pouring technique, and background noise. The probability distribution has been verified on a wide range of setups, but still assumes a prior distribution of pouring setups.
How does it work?
The properties of water and air vary with temperature. This results in changes in how noise is generated from pouring water. This app uses a pre-trained machine learning model to analyze pouring noises to get an estimate of the temperature. The longer time you pour, the more noise it receives, and it can give better estimates.
