An IoT-based weighing
system to increase baby safety, consisting of: an intelligent cradle that has been specially designed and configured to meet the needs of an infant; a
microcontroller configured to receive and process data from a variety of sensors and components integrated into the smart
charging station; a variety of sensors integrated into the smart cradle and operationally connected to the
microcontroller, the variety of sensors including: an
infrared temperature sensor for non-contact detection of the infant's body temperature, a
microphone sensor for detecting sounds from the infant, a
moisture sensor for detecting wetness in a diaper, a gas sensor for detecting the presence of gases and
smoke in the environment, and a
pulse sensor for monitoring the infant's
heart rate; a Wi-Fi module integrated into the
microcontroller, configured to transmit the processed data to the
cloud server via
the internet; a
servo motor that is operationally connected to the microcontroller and configured to generate a rocking motion in the cradle, the
servo motor being activated by the microcontroller when the
microphone sensor detects
crying sounds from the infant; a
buzzer that is functionally connected to the microcontroller and configured to trigger an audible alarm; a
camera module with a webcam configured to capture a
live video image of the infant and transmit this
live video image via the WLAN module, wherein the
camera module is further configured to enable facial recognition and facial identification for the purpose of identifying unauthorized persons, wherein the live webcam feed is retrieved by the microcontroller to perform facial recognition and facial identification, and the microcontroller sends a notification via the
cloud server when the webcam detects an unknown face; and a
cloud server configured to store the processed data and send notifications to a caregiver's
mobile device.