Description

ABSTRACT

This paper presents an idea to design a Smart Cradle System using IOT which will help the Parents to monitor their child even if they are away from home & detect every activity of the Baby from any distant corner of the world. It is an innovative, smart & protective Cradle System to nurture an infant in an efficient way. This system considers all the minute details required for the care & protection of the Baby in the cradle. The design of smartness & innovation comes with the use of technologies/methodologies which include Internet of Things (IOT) (Modules like Raspberry Pi, Humidity & Temperature sensing), Cry Detecting Mechanism, Live Video Surveillance, Cloud Computing (Data Storage) & User Friendly Web application(for User Controls). In order to detect each & every activity of Baby, different Sensors/Modules are attached to the Cradle: Humidity & Temperature Sensing Module for detection of Wetness of the bed, A Camera on top of the Cradle for live video footage & Cry Detection Circuit to analyze Cry Patterns. All the data which is been taken from the sensors/modules will be stored in Cloud (ThingSpeak) & analyzed at regular intervals. A Health Algorithm is applied to these datasets to get information about the body conditions which is helpful as any regular symptoms of a disease can be identified easily.

INTRODUCTION

As we are very well familiar with the hurdles faced by Parents to nurture their infant and especially in case if both the Parents are working. To give 24 hours of time in such cases is next to impossible. Thus, we need to develop something unique that can help Parents to have a continuous surveillance/watch on the Baby/Infant and can notify about the same.
Thus, we have come up with an idea to design a Smart Cradle System using IOT which will help the Parents to monitor their child even if they are away from home & detect every activity of the Baby from any distant corner of the world.

EXISTING SYSTEM

In this existing system sensor are used to know the condition of baby but that will restricted to particular area where if any problem parents have to be in that area and has to and check the condition of baby manually.

PROPOSED METHOD

In this proposed system, both sensors and forecasting cloud is used, so that resulting data having high accuracy about the children condition, also we are using surveillance of the children using camera from a Wide Area Network (WAN) which can be viewed in the Web Application and also can control the situation from a remote area anywhere from the world.

BLOCK DIAGRAM

MONITORING SYSTEM

BLOCK DIAGRAM DESCRIPTION

• In this project MCP3008 is used, so connect 3.3v pin from raspberry to all sensors
• Similarly MCP3008 and all sensor’s ground pins should be grounded
• Now connect sensor’s output pins to each channels of MCP3008 (ex: LM-35 to channel 0, HUMIDITY to channel 1 and SOUND sensor to channel 2 of  MCP3008)
• Connect USB camera with raspberry pi
• Connect power supply for Raspberry pi
• Plug the HDMI cable in Raspberry pi from the monitor using VGA to HDMI converter cable
• Connect USB Mouse and USB keyboard to the Raspberry pi

HARDWARE REQUIREMENTS

• Raspberry Pi
• Temperature (LM 35)
• Humidity Sensor
• Sound Sensor
• MCP3008(ADC IC)
• USB Camera
• SD card
• Monitor

SOFTWARE REQUIREMENTS

• Raspbian Jessie
• HTML and PHP
• MQTT Protocol
• Language – Linux
• Python

CONCLUSION

According to the system it analyses children Activities with Video Enhancementand Instant WEB App Notification for Better Monitoring of Baby. Atomization of System with Real-Time Database in the cloud, accurate sensors make the monitoring of the baby easy.

REFERENCES

[1] “IoT Based Smart Cradle System with an Android App for Baby Monitoring”, 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA).

[2] “Video-based IoT baby monitor for SIDS prevention” in 2017 IEEE Global Humanitarian Technology Conference (GHTC)

[3] “Sudden Unexpected Infant Death and Sudden Infant Death Syndrome”, Centers for Disease Control and Prevention. Centers for Disease Control and Prevention 17 Apr. 2017, May 2017