Design and implementation of an intelligent baby crib monitoring system based on multi-sensor fusion

In recent years, the demand for infant safety and health monitoring in households has been continuously increasing. Traditional baby cribs have limited functionality and cannot meet the requirements for continuous monitoring in modern households. This paper presents the design and implementation of an intelligent baby crib monitoring system based on multi-sensor fusion. The system integrates three categories of sensors for environmental monitoring, physiological parameter monitoring, and safety monitoring, enabling real-time tracking of infant status and environmental parameters around the crib. When abnormal conditions are detected, actuators are triggered for automatic regulation. The system employs a cry recognition algorithm based on frequency domain features to distinguish infant cries from environmental noise, thereby reducing false alarms. The system combines a pressure sensor array with vibration sensors to monitor the infant's presence in the crib and enhance safety monitoring capabilities. Furthermore, the system integrates an offline voice recognition module, providing voice control and music soothing functions. The system transmits collected data to the OneNET cloud platform through a WiFi module, enabling users to remotely view and control the system via mobile applications or computer terminals. Experimental tests demonstrate that the system operates stably, with all functions working properly, indicating practical value.