INTELLIGENT BABY BASSINET

Smart overview of the Invention

The intelligent baby bassinet system offers an advanced solution for soothing infants by detecting crying and generating soothing motions through an AI model. This system learns and adapts to individual baby preferences, considering various factors such as geographic location, time of day, age, and gender. It aims to provide personalized soothing patterns for each baby based on these contextual elements, enhancing the traditional automatic cradle technology.

Background

Existing automatic cradles primarily focus on controlling motion initiation and cessation, lacking autonomous sensing capabilities. These products do not monitor an infant's condition or respond to changes, such as continued crying. Parents often experiment with different rocking motions without understanding their effects, leading to a learning curve that is not documented or easily accessible. The current market lacks systems that can efficiently soothe babies using data-driven cradle motions.

Invention Summary

The intelligent bassinet detects the intensity and type of a baby's cry and generates new soothing motions by mixing stored patterns. It customizes these motions based on parameters like feeding status, geographic location, and time of day. A centralized cloud server stores data for analysis, enhancing the system's ability to suggest suitable motions for each baby. The AI model processes a global dataset to discern patterns and relationships, creating tailored motions for specific circumstances.

Implementation

An AI model generates customized motion patterns by analyzing a comprehensive dataset containing motion data and infant crying data from multiple bassinets. This data includes contextual information such as the baby's gender, age, and feeding times, stored securely on a cloud server. The AI model uses this information to understand contextual factors and generate soothing motions suited to individual babies.

Detailed Description

The intelligent baby bassinet comprises components such as a cradle, base structure, processors, memory devices, oscillation modules, and various sensors (e.g., microphones, cameras). These elements work together to monitor the baby's state and adjust motions accordingly. The system uses AI and machine learning techniques to control device motions effectively, providing a comprehensive solution for calming infants.