From a computer science perspective, Nanit is touting a rather impressive consumer application of machine learning. The number of variables in most spaces would make behavioral analysis nearly impossible. Fortunately for the Nanit team, almost all crib mattresses are the same size. This allows for the camera’s parameters to be standardized so that the computer can break up the space into small bits that can be accurately analyzed.
The aesthetically sleek looking camera has been uniquely designed to track and analyze a baby’s sleep patterns using smart algorithms while incorporating the highest safety standards. The camera goes beyond mere baby surveillance by creating benchmarks, counting sleep interruptions and contextualizing milestones in individual sleep environments to show not just whether the baby is sleeping, but how well.
Computer vision and parenting are two things that normally don’t go together, but Nanit is a smart baby camera that combines them. The camera watches your baby sleep, giving you not only an eye into the crib, but also data about how your baby sleeps. It tracks things like how long it takes your infant to fall back asleep and provides a heat map of where in the crib they love to sleep.
The Nanit camera captures video footage of your child from a tall, white stand that hides its power cord and leans against the wall. Its fall-resistant design is made to thwart grabby babies, and it has a built-in nightlight on its ceiling-facing top side. (If the stand doesn’t work for your nursery, you can also use Nanit on a tabletop.) But Nanit’s most differentiating features work on the backend as its algorithms analyze everything the camera sees.