Baby Monitoring Smart Cradle

Project Title

Baby Monitoring Smart Cradle

Project Area of Specialization Internet of ThingsProject Summary

It is an innovative, smart & protective Cradle System to nurtue 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, 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 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 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 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 switching on the camera live footage & controls for playing the toy/projector whenever the baby cries. 

Project Objectives

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.

Project Implementation Method

1. Interfacing of Raspberry Pi using Python 3 programming
2. Interfacing of Arduino using Arduino C programming
3. Interfacing of Android Mobile Application using Android programming (Java + XML)
4. Analysis of Infant Activities
5. Video Enhancement
6. Instant Mobile App Notification
7. Better Monitoring of Baby
8. Automatisation of System
9. Real-Time Database
10. Accurate Sensors
11. Cry Analysis Pattern
12. Analog to Digital Conversion

Benefits of the Project

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. 

Technical Details of Final Deliverable

It is an innovative, smart & protective Cradle System to nurtue 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, 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 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 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 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 switching on the camera live footage & controls for playing the toy/projector whenever the baby cries. 

Tools Used: 

• Software Used: 
  1. Advanced IP Scanner
  2. PuTTY
  3. WinSCP
  4. Raspbian OS
  5. Arduino IDE – v 1.8.5
  6. Notepad++ – v 7.5.6
  7. Python IDLE – v 3.4
  8. Android Studio – v 3.0.1
• Hardware Used: 
  1. Raspberry Pi 3
  2. Arduino Mega
  3. DHT11 Digital Temperature and Humidity Sensor
  4. Sound Microphone (Input)
  5. USB Camera
  6. NPN Transistors
  7. PN Junction Diodes
  8. IC chip (L293D)
  9. 10k ohm Resistors
  10. LEDs
  11. DC Motor (30 rpm)
  12. Plastic Gear
  13. 9v batteries

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Security Core Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	51050
Raspberry Pi 3	Equipment	2	8000	16000
Arduino Mega	Equipment	2	1500	3000
DHT11 Digital Temperature and Humidity Sensor	Equipment	10	200	2000
Sound Microphone	Equipment	1	2000	2000
USB Camera	Equipment	2	2500	5000
NPN Transistors	Equipment	50	10	500
PN Junction Diodes	Equipment	50	5	250
IC chip (L293D)	Equipment	15	100	1500
10k ohm Resistors	Equipment	10	5	50
LEDs	Equipment	2	5000	10000
DC Motor (30 rpm)	Equipment	5	2000	10000
Plastic Gear	Equipment	5	50	250
9v batteries	Equipment	5	100	500