Nearly 90 years ago, the kidnapping of Charles Lindbergh’s infant son helped inspire the world’s first baby monitor, a crackling radio that let parents listen for cries from another room. Today, those humble devices have evolved into AI-powered nurseries, tracking everything from breathing patterns and sleep quality to nearly every toss, turn and stir throughout a child’s early years.

“Parenthood looks different here,” states Nanit, one of the leading companies.

The New York-based company, founded in 2014, is among a growing number of technology firms transforming baby monitors into sophisticated health and sleep platforms. Using computer vision, AI and machine learning, modern systems do far more than stream video. They collect, analyze and interpret data intended to help parents understand their baby’s development while creating a digital record of daily life.

Nanit’s camera analyzes a baby’s sleep and assigns a nightly Sleep Score of up to 100 based on age-specific benchmarks. Rather than simply measuring how long a child spends in a crib, the system evaluates actual sleep duration, bedtime and wake-time consistency, sleep continuity and the number of times parents visit the crib overnight.

The platform also generates personalized nap recommendations through its NextNap feature and allows parents to maintain Care Logs that document feedings, diaper changes, naps and other milestones. The information is organized into a dashboard that can be viewed from a smartphone and shared with caregivers or pediatricians. Parents also receive real-time alerts when a baby cries, moves into designated activity zones or when room temperatures move outside preset thresholds.

One of Nanit’s signature features is its breathing-motion monitoring system. Instead of attaching electronic sensors directly to a baby, the company uses a specially patterned cotton breathing band or sleepwear. The overhead camera tracks the movement of that pattern and uses AI algorithms to detect subtle breathing motion, alerting caregivers if no movement is detected.

Competitor Owlet’s system combines a high-definition camera with a wearable Smart Sock that wraps around an infant’s foot. Embedded sensors measure pulse rate and blood oxygen levels while the camera streams live video and audio. The data is transmitted to a smartphone app, where parents can view live readings, sleep trends and historical reports. The system also notifies parents when readings move outside preset ranges.

The technology offers snapshots of a baby’s day with continuous streams of information designed to help parents make more informed decisions.

The amount of data these systems now collect would have been unimaginable just a decade ago. Some companies can estimate sleep quality, recommend ideal nap times, create video highlights, maintain digital caregiving journals and identify long-term trends that emerge over weeks or months. Some even aggregate anonymous user data to identify broader patterns. Nanit, for example, has published state-by-state rankings of infant sleep using information collected from consenting users.

The technology is also becoming a research tool.

Nanit has a research team that includes sleep scientists, psychologists, biomedical engineers, clinical researchers and health economists working with hospitals and universities around the world. Their research has explored not only infant sleep but also parental well-being.

In one study involving more than 3,100 parents of infants between 1 and 18 months old, researchers found that parents’ perceptions of infant sleep problems were influenced more by their own nighttime behaviors and emotional well-being than by the baby’s sleep patterns. Frequent nighttime crib visits, parental fatigue, depression and lower tolerance for crying were stronger predictors of whether parents believed their child had a sleep problem than many of the baby’s measured sleep characteristics.

Another study examined parents who had returned to work after having a baby and found that insomnia symptoms were associated with poorer workplace performance and larger declines in productivity compared with the previous two years. The findings underscored the broader effects that disrupted sleep can have on families beyond the nursery.

The growing capabilities of AI-powered baby monitors have also fueled debate among pediatricians, psychologists and parenting experts. While many praise the technology for providing reassurance, early detection of potential problems and better communication among caregivers, others caution that an abundance of information can become overwhelming.

Instead of reducing anxiety, an endless stream of scores, charts, alerts and notifications may encourage parents to constantly monitor normal infant behavior. Some experts have also questioned whether heavy reliance on dashboards and algorithms could diminish a parent’s confidence in recognizing a baby’s needs through instinct, observation and experience.

The technology itself is not intended to replace parental judgment. Companies consistently describe their products as decision-support tools that provide additional insight rather than medical diagnoses. But as AI continues reshaping consumer technology, baby monitors have become another example of how data is increasingly woven into everyday life.

What began in the 1930s as a way to hear a baby cry has essentially evolved into an AI-assisted window into childhood development. For many families, that means greater peace of mind, but others question whether it is too much.