Young Father Creates a Neural Network for Detecting Baby’s Hunger

10.08.2022 09:51
by Sviatoslav Pinchuk
1 min read

Good news for parents. Caleb Olsen, a Haitian-American IT developer, has created a neural network system that notifies users when their babies are hungry even before they start crying. He is currently waiting for the patent to be approved.

According to Olsen, a baby will not cry as soon as it gets hungry, but will first indicate this with a series of signals, such as smacking of the lips and the refusal of a pacifier.

Olsen’s system uses a camera to monitor his young son’s actions, Google’s MediaPipe framework, and the corresponding video processing algorithms to detect these signs. Once it has detected enough signals, it sends a notification to Olsen’s smartphone.

The benefit that this brings is that parents can react more quickly and prevent the babies from crying. And of course, less crying means more sleep for parents. Win-win.

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  • Man who simply bought some BTC for domestic needs in 2014 and then forgot about it till 2017. The dude who got Etherium in 2017 by misclick and sold it in 2018 "just to try". Lost 1 Florida house in XEM in 2018, Sviatoslav finally decided to trade reasonably and now he is one of the most analytical and data-driven trader in Crypto Industry. Has Bachelor Degree of Chinese Interpreter and deep practical experience in competitive niches SEO.

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