Baby Monitoring System using Image Processing and IoT
Yogita K. Dubey1, Sachin Damke2
1Dr. Yogita Dubey*, Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
2Dr. Sacin Damke, Department of Pediatrics, Jawaharlal Nehru Medical College, Sawangi, Wardha Pediatrics, Datta Meghe Institute of Medical Sciences, (DU), Wardha, India,
Manuscript received on July 09, 2019. | Revised Manuscript received on August 17, 2019. | Manuscript published on August 30, 2019. | PP: 4961-4964 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9254088619/2019©BEIESP | DOI: 10.35940/ijeat.F9254.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Raspberry Pi, Face detection, Non-contact, Baby monitoring.