A Smart Baby Cradle Based on IoT

These days, with the increasing demands and responsibilities of life, parents becoming busy most of the time which makes taking care of an infant incredibly difficult task as infants need the attention and supervision of caregivers all the time. However, the advancement of technology has led to the emergence of smart baby cradle as an intelligent system with numerous features to reduce the burden of parents and caregivers. The paper aims to enhance the quality of the existing baby cradle systems by incorporating a new module for managing baby cry. Managing baby cry involves providing analysis for baby cry, and accordingly, triggering the suitable device attached to the cradle. This research paper provides significant attention on detecting baby cry, more accurately, by integrating four-sub modules in the cry classification process including voice analysis, face image analysis, body gesture analysis, and finally decision fusion.