Open AccessBaby Monitoring System using Image Processing and IoT
Author(s) -
Yogita Dubey,
AUTHOR_ID,
Sachin Damke,
AUTHOR_ID
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9254.088619
Subject(s) - computer vision , artificial intelligence , crying , computer science , raspberry pi , image processing , face detection , haar like features , motion detection , process (computing) , internet of things , motion (physics) , image (mathematics) , facial recognition system , pattern recognition (psychology) , embedded system , medicine , operating system , psychiatry
Non-contact-based baby monitoring system using image processing is proposed in this paper which is used for proper safety and monitoring the activity of baby by their busy parents. The system detects the motion, crying and present position of the baby. If any abnormal action is detected, then the system sends a message in the form of text and images of baby to the particular user through email. Raspberry Pi B+ module is used to process the videos taken by pi camera, MIC is used for crying detection and image processing is used for detection of real-time motion of babies and boundary condition of the bed. The system required to first install OS Raspbian, and all the other packages like OpenCV, Numpy and Virtual environment. Face detection algorithm is trained using Haar classifier for positive face images and negative nonface images. This system will help in decreasing the chances of the baby’s falling from the bed. Also, this system can be used in hospitals while baby is sleeping where the stress among the nurses will be reduced.