Authors: Hrittick Konar, Amita Patil, Krishna Turkane, Rageshri Bakare
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Monitoring the well-being of infants is of utmost importance for ensuring their safety and providing timely care. This paper presents a novel approach to enhance traditional baby monitors by integrating intelligent classification of infant cries and real-time monitoring of sleep positions. The proposed smart baby monitor employs advanced signal processing techniques, machine learning algorithms, and computer vision methods to analyse audio and visual cues, providing valuable insights into a baby\'s needs and sleep patterns. This research paper presents the development of a Smart Baby Monitoring System equipped with one machine learning module and a wet diaper detection model. The system aims to enhance infant safety and improve caregiving practices. The first module employs YOLO and a Convolutional Neural Network (CNN) for position detection, identifying whether the baby is on their belly, back, or side. The position detection model achieves an average accuracy of 90%, with precision and recall rates 85%, ensuring reliable identification of the baby\'s needs Second module is a wet diaper detection module is incorporated to detect if the baby\'s diaper needs changing. The integration of these machine learning modules in the Smart Baby Monitoring System offers real-time monitoring, timely alerts, and improved infant care.
To address the need for continuous supervision and real-time feedback on an infant's well-being, baby monitoring systems have been developed. These systems utilize a combination of sensors, cameras, communication technologies, and advanced algorithms to capture and analyse data related to the baby's activities. The primary objective of a baby monitoring system is to provide parents or caregivers with peace of mind by enabling remote monitoring and tracking of various aspects of the infant's safety and environment. One of the key challenges faced by parents and caregivers is ensuring the baby's safety and well-being during periods when they need to attend to other responsibilities or when infants are sleeping. A baby monitoring system acts as a technological solution that addresses this challenge. By continuously monitoring the baby's sleep patterns, movements, position, and even vital signs, these systems provide real-time feedback and alerts to parents or caregivers. The benefits of a baby monitoring system are manifold. Firstly, it allows caregivers to detect and respond promptly to potential risks or needs. For example, the system can alert caregivers if the baby rolls over to an unsafe position, leaves the crib, or experiences discomfort. By providing this level of supervision, the system ensures that the baby remains in a safe and comfortable environment. Furthermore, baby monitoring systems contribute to the early detection of potential health issues or abnormalities. By continuously monitoring vital signs or unusual behaviours, caregivers can identify patterns or changes that may require medical attention. This early detection enables timely intervention and promotes the overall health and well-being of the infant.
II. RELATED WORK
Different technologies have been there for the autonomous drone the below table shows the previous works and technologies implemented on this autonomous drone
The use of non-invasive sensors in this system ensures a safe and comfortable monitoring experience for infants, as it eliminates the need for invasive procedures. Additionally, by considering ambient conditions such as temperature and humidity, the system provides a comprehensive monitoring solution that takes into account the overall well-being of the infant. Overall, the presented research highlights the significance of developing smart infant monitoring systems that combine non-invasive sensors and machine learning techniques. Such systems have the potential to improve infant care and provide caregivers with timely alerts for prompt intervention during critical situations.
A. Position Detection Module
The wet diaper detection system works in the following way. Firstly, analog wet detector circuit detects the status of the diaper such as if the diaper is wet sent signal to the ADC (analog to digital converter). Secondly, signal conversion for BLE communication using ADC. After that BLE transmitter sent the warning signal to the pair smart phone.
The fourth part is smart phone receiver and starts alarming sound and upload alert signal into the server for other responsible people. Finally, server sent notification and alarm to the other users. In this study, BLE based Android smart phone application used for making alarm system for our designed wet detector. Firstly, user needs to connect with our wet detector sensor via BLE. After that Android application always read the sensor data, S and compare with the threshold value, P. When the diaper is wet by urine, sensor data fall down than the threshold value. At this moment smart phone starts ringing and upload warning message to the server. The server sends messages the entire user who wants to know the condition of diaper.
C. Software Architecture of The Proposed
The proposed Smart Baby Monitoring System encompasses a well-defined software architecture that ensures efficient and reliable operation. The system architecture consists of several interconnected components working together to provide comprehensive monitoring and alerting capabilities. The following sections outline the key components and their interactions within the software architecture.
The proposed software architecture of the Smart Baby Monitoring System provides a scalable and flexible framework for efficient monitoring and analysis. It enables real-time data processing, accurate detection of critical events, and effective communication with caregivers. The modular design allows for easy maintenance, upgrades, and expansion to accommodate future enhancements or additional features.
D. Hardware Architecture of The Proposed
The hardware architecture of the Smart Baby Monitoring System is designed to support the efficient and reliable operation of the system components. It comprises several interconnected hardware components that work together seamlessly. The following sections outline the key hardware components and their interactions within the system architecture.
With all the connection and complete model will look like
In conclusion, this research paper presents the development of a Smart Baby Monitoring System that incorporates a machine learning module for position detection and a wet diaper detection model. The system aims to improve infant safety and caregiving practices by providing real-time information and alerts to caregivers. The position detection module accurately classifies the baby\'s sleeping position as belly, back, or side, enabling caregivers to take necessary precautions and minimize potential health risks. The wet diaper detection model monitors the moisture level of the baby\'s diaper, triggering alerts when a diaper change is needed, thus ensuring the baby\'s comfort and hygiene. The integration of advanced hardware components, including a Raspberry Pi 3B and a night vision camera module, enhances the functionality and reliability of the system. Additionally, the system offers remote accessibility through Bluetooth Low Energy (BLE) technology, allowing caregivers to monitor and control the system from their smartphones or tablets. Overall, the Smart Baby Monitoring System presented in this research paper provides caregivers with valuable insights, promoting infant safety and well-being.
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