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 should develop something unique that can help Parents to have a continuous surveillanc
IoT Based Baby Monitoring System Using Raspberry Pi
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 should 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 came 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 far away from home & can detect every activity of the Baby from any distant corner of the world. It is an innovative, smart & protective Cradle System to nurtue an infant in an efficient way. This system considers all the minute details that are 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, Arduino, Humidity & Temperature sensing), Swing Automation, Cry Detecting Mechanism, Live Video Surveillance, Cloud Computing (Data Storage) & User Friendly Android Mobile Application (for User Controls). In order to detect each & every activities of the 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 analyse Cry Patterns which eventually triggers the swinging mechanism (if required based on the range of frequency). All the data which is been taken from the sensors/modules will be stored in Cloud (Google Firebase) & 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. An instant mobile notification that will be generated if any abnormal activity is detected (something unusual OR crying of baby OR wetness due to Baby Urine) in the Android Mobile Application which has been Developed. It has UI controls which include the feature of controlling the swinging mechanism of the cradle (can be turned on, turned off & can maintain the speed of swing), control for the switching on the camera live footage & controls for playing the toy/projector whenever the baby cries.
This project is focused on an idea to design a Smart Cradle System using IOT which will help the Parents to monitor their child even if they are far away from home & can detect every activity of the Baby from any distant corner of the world.
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.
Our proposed system aims at monitoring the vital signs of the baby such as heartbeats and body temperature using wireless technology and textile sensors which are comfortable for the baby to wear and also accurate and precise than other sensors. We also focus on increase the scope of transmitting the information over the internet in order to provide remote access. The camera module incorporated enables displaying the visual feeds of the whereabouts of the baby and keeping an eye over their movements in a finite area. This system overcomes the drawback of the existing systems which are clumsy, less user friendly and expensive.
This system is less clumsy, user friendly and less expensive.
This system will help the Parents to monitor their child even if they are far away from home & can detect every activity of the Baby from any distant corner of the world.
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.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Stationary and thesis | Miscellaneous | 2 | 5000 | 10000 |
| Rasberry pi one W | Equipment | 1 | 27000 | 27000 |
| Projector Epson for visualization | Equipment | 1 | 27000 | 27000 |
| sound and other sensors | Equipment | 5 | 1100 | 5500 |
| USB Camera | Equipment | 2 | 2500 | 5000 |
| MCP3008 | Equipment | 1 | 5500 | 5500 |
| Total in (Rs) | 80000 |
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