Smart management system for monitoring and control of infant baby bed IJECEIAES
Step by step the innovation likewise becomes exceptionally quick and the human makes it. Thus, it is imperative to take care of the people to come, a unique consideration ought to be appeared to them particularly indulges. This paper manages plan and usage of intelligent child support framework which is extraordinary blessing to guardians in this century In this work a baby bed with intelligent system was be designed and implemented. Many sensors where be used to monitor the baby behavior. The component of this project consist of a smart camera, moisture sensor, sensitive Dc Motor and WiFi system.
IRJET - Doting: Smart Infantary Bassinet using Real Time SystemIRJET Journal
This document describes a smart infant bassinet system that uses real-time monitoring to help parents care for babies. The system uses sensors to monitor temperature, humidity, sound levels, and detects when a baby cries or wakes. It has a video camera to allow parents to view the baby remotely. The bassinet can automatically swing or play soothing music in response to the baby's needs. The system notifies parents through a mobile app if any conditions change. It aims to help busy parents monitor babies with minimal human intervention through automated features and real-time data streaming to mobile devices.
This document describes a smart child safety monitoring system that uses GPS, GSM technology, and an Arduino microcontroller to track a child's location and heartbeat. The system consists of modules to detect location using GPS, measure heartbeat, and allow communication between the child's device and a parent's phone via SMS text. It periodically updates the child's real-time location and heartbeat on an Android application. This allows parents to monitor their child's status and location from a distance using their phone. The goal is to provide reliable monitoring of children's safety through an IoT-based wearable device.
IRJET- A Survey on Child Safety & Tracking Management SystemIRJET Journal
This document summarizes a research paper on a child safety and tracking management system using mobile phones. The system allows parents to monitor their child's location in real-time using GPS and set up geographical boundaries. It also allows children to send emergency SMS messages with their location if needed. The system is designed as an Android application to take advantage of the GPS, geo-fencing, and SMS capabilities on Android phones. It aims to help parents keep their children safe by knowing their locations and setting alerts if they leave approved areas.
IRJET- Enactment of Smart Child Monitoring SystemIRJET Journal
This document describes a smart child monitoring system that uses GPS, GSM, and pulse sensors to track a child's location and vital signs and alert parents if anything abnormal is detected. The system includes a child module worn by the child containing sensors that detects location via GPS and pulse, and sends this data via GSM to a parent's phone. It also predicts normal vs abnormal behavior patterns. If it detects a sudden change in location, pulse, or behavior, an immediate alert is sent to parents. The system aims to allow parents to monitor their child's status and location in real-time from a mobile app, reducing parental stress.
IRJET- IoT Enabled Children Safety SystemIRJET Journal
This document describes an IoT-enabled system to track children's safety on school buses. The proposed system uses RFID tags on student ID cards and an RFID reader on the bus to detect when students board. It also uses a GPS module to track the bus location. Data is sent to a cloud-based server and database. Parents can monitor their children's movement and location using a mobile app. The system aims to address safety concerns and notify parents of any issues. It provides real-time tracking to ensure children's comfort and safety while traveling to and from school.
IRJET- Smart Tracking System for School Buses for Ensuring Child Security...IRJET Journal
This document proposes a smart tracking system for school buses using IoT and GPS technology to ensure child security. The system uses fingerprint scanning, alcohol detection, and speed monitoring to identify riders, ensure driver safety, and prevent overspeeding. When a child boards or exits the bus, their fingerprint is scanned and their location is sent to a server and notified to parents. If the driver is found to have consumed alcohol or the bus speed exceeds limits, alerts are sent. The system aims to address issues like kidnappings and accidents by providing real-time tracking and safety checks to reassure parents.
IRJET- Humanoid Robot for Elderly and Child GuidanceIRJET Journal
The document describes a humanoid robot designed to assist the elderly and guide children. The robot, called KIMS, has three main functions: monitoring health through sensors, providing companionship through interaction, and enabling connectivity. It uses an Arduino microcontroller and sensors like IR, PIR, and a camera. The robot can track motion, detect falls or lack of motion, and activate emergency calls through GSM. It also has a voice recognition system and can control smart home devices using Bluetooth. The goal is to develop an affordable, responsive robotic assistant that can help the elderly and children in a way similar to a human caregiver.
Smart management system for monitoring and control of infant baby bed IJECEIAES
Step by step the innovation likewise becomes exceptionally quick and the human makes it. Thus, it is imperative to take care of the people to come, a unique consideration ought to be appeared to them particularly indulges. This paper manages plan and usage of intelligent child support framework which is extraordinary blessing to guardians in this century In this work a baby bed with intelligent system was be designed and implemented. Many sensors where be used to monitor the baby behavior. The component of this project consist of a smart camera, moisture sensor, sensitive Dc Motor and WiFi system.
IRJET - Doting: Smart Infantary Bassinet using Real Time SystemIRJET Journal
This document describes a smart infant bassinet system that uses real-time monitoring to help parents care for babies. The system uses sensors to monitor temperature, humidity, sound levels, and detects when a baby cries or wakes. It has a video camera to allow parents to view the baby remotely. The bassinet can automatically swing or play soothing music in response to the baby's needs. The system notifies parents through a mobile app if any conditions change. It aims to help busy parents monitor babies with minimal human intervention through automated features and real-time data streaming to mobile devices.
This document describes a smart child safety monitoring system that uses GPS, GSM technology, and an Arduino microcontroller to track a child's location and heartbeat. The system consists of modules to detect location using GPS, measure heartbeat, and allow communication between the child's device and a parent's phone via SMS text. It periodically updates the child's real-time location and heartbeat on an Android application. This allows parents to monitor their child's status and location from a distance using their phone. The goal is to provide reliable monitoring of children's safety through an IoT-based wearable device.
IRJET- A Survey on Child Safety & Tracking Management SystemIRJET Journal
This document summarizes a research paper on a child safety and tracking management system using mobile phones. The system allows parents to monitor their child's location in real-time using GPS and set up geographical boundaries. It also allows children to send emergency SMS messages with their location if needed. The system is designed as an Android application to take advantage of the GPS, geo-fencing, and SMS capabilities on Android phones. It aims to help parents keep their children safe by knowing their locations and setting alerts if they leave approved areas.
IRJET- Enactment of Smart Child Monitoring SystemIRJET Journal
This document describes a smart child monitoring system that uses GPS, GSM, and pulse sensors to track a child's location and vital signs and alert parents if anything abnormal is detected. The system includes a child module worn by the child containing sensors that detects location via GPS and pulse, and sends this data via GSM to a parent's phone. It also predicts normal vs abnormal behavior patterns. If it detects a sudden change in location, pulse, or behavior, an immediate alert is sent to parents. The system aims to allow parents to monitor their child's status and location in real-time from a mobile app, reducing parental stress.
IRJET- IoT Enabled Children Safety SystemIRJET Journal
This document describes an IoT-enabled system to track children's safety on school buses. The proposed system uses RFID tags on student ID cards and an RFID reader on the bus to detect when students board. It also uses a GPS module to track the bus location. Data is sent to a cloud-based server and database. Parents can monitor their children's movement and location using a mobile app. The system aims to address safety concerns and notify parents of any issues. It provides real-time tracking to ensure children's comfort and safety while traveling to and from school.
IRJET- Smart Tracking System for School Buses for Ensuring Child Security...IRJET Journal
This document proposes a smart tracking system for school buses using IoT and GPS technology to ensure child security. The system uses fingerprint scanning, alcohol detection, and speed monitoring to identify riders, ensure driver safety, and prevent overspeeding. When a child boards or exits the bus, their fingerprint is scanned and their location is sent to a server and notified to parents. If the driver is found to have consumed alcohol or the bus speed exceeds limits, alerts are sent. The system aims to address issues like kidnappings and accidents by providing real-time tracking and safety checks to reassure parents.
IRJET- Humanoid Robot for Elderly and Child GuidanceIRJET Journal
The document describes a humanoid robot designed to assist the elderly and guide children. The robot, called KIMS, has three main functions: monitoring health through sensors, providing companionship through interaction, and enabling connectivity. It uses an Arduino microcontroller and sensors like IR, PIR, and a camera. The robot can track motion, detect falls or lack of motion, and activate emergency calls through GSM. It also has a voice recognition system and can control smart home devices using Bluetooth. The goal is to develop an affordable, responsive robotic assistant that can help the elderly and children in a way similar to a human caregiver.
This document presents a proposal for an IOT-based intelligent baby care system with a web application for remote baby monitoring. The system uses sensors to automatically swing a cradle when a baby cries, sound alarms if the baby cries for too long or the mattress is wet, and sends alerts to a web page for parents to monitor the baby's status from anywhere via internet connection. The proposed system aims to help working parents manage childcare remotely using sensors, a Raspberry Pi, web camera, and cloud server to detect the baby's activities and notify parents through a web application on their phone.
GPS BASED VULNERABLE CHILD TRACKING SYSTEMIRJET Journal
This document describes a GPS-based vulnerable child tracking system. The system uses sensors attached to the child to track their location and activities. A mobile application allows parents to view the child's location in real-time using GPS and see video of the child's activities at school that is captured by a camera and sent to the parents' phones. The system is designed to help working parents monitor their child's safety and activities even when away from home through remote tracking and video monitoring using sensors, GPS, and an IoT-based cloud computing system.
Infant Care Assistant with Emotion Detection-Using Machine Learning, Image Pr...IRJET Journal
This document describes an infant care assistant device that uses sensors, machine learning, and IoT technology to monitor infants and help soothe them. The device collects data on temperature, humidity, noise levels, and moisture using sensors connected to a microcontroller. It can automatically rock a baby cradle and turn on a fan based on the sensor readings. It also includes a Raspberry Pi with camera for real-time emotion detection using machine learning to analyze the infant's face. The system aims to help busy parents remotely monitor and care for their children.
IRJET- Smart Cradle by using Messaging & Sensing TechnologyIRJET Journal
This document summarizes several research papers on developing smart cradle technologies to assist parents in caring for babies. It describes smart cradles that can automatically swing or play music when a baby cries, detect if a baby's mattress is wet, and alert parents if a baby does not stop crying within a set time. The goal of these smart cradles is to help busy parents monitor and soothe babies without constant physical attention. Various technologies discussed include cry detection sensors, alarms, wireless control, and machine learning algorithms to classify baby sounds.
IRJET- Child Safety Wearable Device using Wireless TechnologyIRJET Journal
The document describes a child safety wearable device that uses wireless technology. The device monitors a child's health conditions like temperature and heartbeat using sensors. It also detects changes in position using an accelerometer and detects obstacles using an ultrasonic sensor. If abnormal readings are detected, an alert is sent via SMS and a video is captured and emailed. The device is integrated into a glove and connects to the cloud to store and display sensor data for authorized users to access remotely. The system aims to help reunite lost children with their parents.
IRJET- Smart and Secure IoT based Child Monitoring SystemIRJET Journal
The document describes a proposed smart and secure IoT-based child monitoring system. The system uses radar devices and obstacle sensors to detect when a child enters a danger zone or approaches a harmful object, then alerts the caregiver via mobile notification or alarm. Waterproof ultrasonic sensors placed in a locket worn by the baby would detect dangers and alert the caregiver's mobile device. The system aims to solve problems for baby guardians and secure babies from dangers, notifying guardians when hazards are near. It also reviews several related works on child monitoring systems and IoT applications and their methodologies and findings.
This document provides an outline and summary of a project to design and implement a child tracking device using GPS, GSM, and Arduino. The objectives are to ensure children's security by developing a simple, cost-effective tracking system. It discusses the background and motivation, including statistics on missing children. The proposed system design includes GPS to track location, GSM to send location via SMS, and Arduino as the microcontroller. It describes the hardware and software components, including the GPS and GSM modules, Arduino, and power distribution. The implementation details the use of Arduino IDE and experimental setup. Results analysis demonstrates sending location coordinates via SMS and viewing on Google Maps. It compares the proposed low-cost system to existing
This document summarizes the design and implementation of a child tracking device using GPS, GSM, and Arduino. The system aims to ensure children's safety by allowing parents to track their location through SMS. It consists of three main subsystems - a GPS module to obtain location coordinates, a GSM module to send coordinates via SMS, and an Arduino board to connect the components. The design was implemented on a PCB board with low-cost components. Experimental results showed the system could successfully send location updates to parents' phones via SMS and display the location on a map. The system provides a low-cost solution for tracking children and reducing missing child cases.
This document describes a child tracking system project that uses GPS and GSM technologies. The system uses an Arduino board, GPS module, GSM module, and battery. It tracks a child's location using GPS coordinates and sends the location to the parent's phone via text message using the GSM module. The project aims to help parents monitor their children's location and ensure their safety.
IRJET- Review Paper on –Baby Cradle Monitoring SystemIRJET Journal
This document describes a proposed baby cradle monitoring system that uses various sensors to monitor babies and update parents. It discusses designing a smart baby cradle with features like camera monitoring, automatic swinging when the baby cries, sensing wetness in the baby's bed, monitoring the baby's presence in the cradle, and sending SMS messages to parents' phones to notify them about the baby's status. The proposed system aims to help busy working parents remotely monitor their babies using new technologies while alleviating their stress and anxiety. It outlines the existing limitations and proposes a new architecture using sensors, microcontrollers, and wireless communication.
The document describes a proposed IoT-based smart cradle system for baby monitoring. The system would use sensors to monitor a baby's vital signs and movements in the cradle. It would automatically rock the cradle in response to crying or discomfort. Parents could monitor the baby remotely through a mobile app that displays sensor data and sends alerts. The goal is to enhance parental care and safety by reducing the need for constant physical intervention through automated responses and remote monitoring capabilities enabled by IoT technologies.
IRJET- IoT and ML based Smart TV for Child Eyes SafetyIRJET Journal
This document presents a smart TV system that uses IoT and machine learning concepts to monitor children's eyes safety while watching TV. The system uses a Raspberry Pi connected to a proximity sensor and camera module to detect if a child is too close to the TV screen. If the child exceeds a safe distance, the Raspberry Pi will send an SMS notification to the parents. The camera module uses computer vision and a Haar cascade classifier to detect the child's face and eyes. The overall system aims to reduce eye strain and retina degradation in children by encouraging them to watch TV from a safer distance.
IRJET- Smart and Secured Rescue Robot to Trap a Child from Open BorewellsIRJET Journal
This document describes a proposed smart and secured rescue robot system to safely extract children who have fallen into open borewells. The system includes a robotic section that would be sent down the borewell containing sensors to monitor conditions, a camera, and a robotic arm controlled manually. It would transmit sensor data and video to a command and monitoring section via WiFi. The goal is to develop a more effective and safer alternative to the current process of digging a parallel pit, which takes time and poses risks. The robotic system is intended to reduce risks during child rescue operations from open borewells.
IRJET- IoT based Smart Cradle System for Baby MonitoringIRJET Journal
This document describes a proposed IOT-based smart cradle system for baby monitoring. The system uses various sensors to monitor the baby's conditions and activities in the cradle. It uses a sound sensor to detect if the baby is crying and will automatically start swinging the cradle. It uses a wet sensor to detect if the baby's diaper is wet and sends an alert. It uses temperature sensors to monitor the baby's body temperature and room temperature, sending an alert if any large changes are detected. It uses a motion sensor to detect motion in the cradle for security purposes and will send an alert if excessive motion is detected. The system is designed to help parents monitor the baby remotely using their mobile phones and decrease their stress while allowing them to
The document describes a smart bore well child rescue system consisting of a remotely controlled robot equipped with sensors, a camera, and a balloon. The robot is designed to rescue children who have fallen into uncovered bore wells. It is controlled wirelessly using Zigbee technology from a PC. The robot uses sensors to assess conditions inside the bore well, a camera to view and monitor the child, and a balloon to lift the child out of the bore well once located. The system aims to provide an improved rescue method compared to existing techniques that can be risky, time-consuming, and require large machinery and space.
INTELLIGENT HSE-HAZOP CRADLE FOR HOME AND HOSPITAL BABY MONITORINGIRJET Journal
The document describes a proposed intelligent HSE-HAZOP cradle system for monitoring babies in homes and hospitals. The system uses sensors and microcontrollers like Node-MCU to automatically activate rockers when a baby cries. It also detects temperature and humidity to alert caregivers if levels are abnormal. The cradle system is connected to the Internet of Things to allow remote monitoring and control via a mobile app. The proposed system aims to help working mothers and busy nursing staff by automating some baby monitoring and care tasks. A prototype was developed to automatically play lullabies and turn on lights to soothe crying babies in addition to remote monitoring capabilities.
IRJET - Poultry Farm Controlling based on IoTIRJET Journal
This document describes a poultry farm monitoring system using IoT technology. The system uses sensors to monitor temperature, humidity, gas levels and food levels in the farm. An Arduino Mega controller collects data from the sensors and sends it to the cloud. Users can then view the sensor data through a mobile app, which will also notify them of any abnormal conditions. The system aims to automate 80% of the farm monitoring process and remotely manage conditions in the poultry house.
IRJET- Implementation of Children Tracking System on Android Mobile Termi...IRJET Journal
This document describes the implementation of a children tracking system on Android mobile terminals. The system uses an Arduino microcontroller, GPS module, and GSM module to track the location of children and send alerts to parents' phones if they move beyond a certain area or press a panic button. It allows parents to monitor the safety and location of their children in real-time. The system was designed to address the increasing issue of children going missing and to provide secure tracking of children at schools.
IRJET - Smart E – Cane for the Visually Challenged and Blind using ML Con...IRJET Journal
This document proposes a smart cane called the Smart E-Cane for visually impaired and blind people using machine learning concepts. The Smart E-Cane will include sensors for obstacle detection and provide location-based feedback. It will also be able to detect different raised surfaces like stairs, slopes, or rocks using a magnetometer and machine learning models trained on sensor data. This will help identify obstacles more precisely. An accompanying wearable band is also proposed to locate the cane if misplaced and send the user's location via IoT in emergencies. The system aims to provide independence and safety for visually impaired users while walking without assistance.
This document summarizes a research paper that examines pricing strategy in a two-stage supply chain consisting of a supplier and retailer. The supplier offers a credit period to the retailer, who then offers credit to customers. A mathematical model is formulated to maximize total profit for the integrated supply chain system. The model considers three cases based on the relative lengths of the credit periods offered at each stage. Equations are developed to represent the profit functions for the supplier, retailer and overall system in each case. The goal is to determine the optimal selling price that maximizes total integrated profit.
The document discusses melanoma skin cancer detection using a computer-aided diagnosis system based on dermoscopic images. It begins with an introduction to skin cancer and melanoma. It then reviews existing literature on automated melanoma detection systems that use techniques like image preprocessing, segmentation, feature extraction and classification. Features extracted in other studies include asymmetry, border irregularity, color, diameter and texture-based features. The proposed system collects dermoscopic images and performs preprocessing, segmentation, extracts 9 features based on the ABCD rule, and classifies images using a neural network classifier to detect melanoma. It aims to develop an automated diagnosis system to eliminate invasive biopsy procedures.
This document presents a proposal for an IOT-based intelligent baby care system with a web application for remote baby monitoring. The system uses sensors to automatically swing a cradle when a baby cries, sound alarms if the baby cries for too long or the mattress is wet, and sends alerts to a web page for parents to monitor the baby's status from anywhere via internet connection. The proposed system aims to help working parents manage childcare remotely using sensors, a Raspberry Pi, web camera, and cloud server to detect the baby's activities and notify parents through a web application on their phone.
GPS BASED VULNERABLE CHILD TRACKING SYSTEMIRJET Journal
This document describes a GPS-based vulnerable child tracking system. The system uses sensors attached to the child to track their location and activities. A mobile application allows parents to view the child's location in real-time using GPS and see video of the child's activities at school that is captured by a camera and sent to the parents' phones. The system is designed to help working parents monitor their child's safety and activities even when away from home through remote tracking and video monitoring using sensors, GPS, and an IoT-based cloud computing system.
Infant Care Assistant with Emotion Detection-Using Machine Learning, Image Pr...IRJET Journal
This document describes an infant care assistant device that uses sensors, machine learning, and IoT technology to monitor infants and help soothe them. The device collects data on temperature, humidity, noise levels, and moisture using sensors connected to a microcontroller. It can automatically rock a baby cradle and turn on a fan based on the sensor readings. It also includes a Raspberry Pi with camera for real-time emotion detection using machine learning to analyze the infant's face. The system aims to help busy parents remotely monitor and care for their children.
IRJET- Smart Cradle by using Messaging & Sensing TechnologyIRJET Journal
This document summarizes several research papers on developing smart cradle technologies to assist parents in caring for babies. It describes smart cradles that can automatically swing or play music when a baby cries, detect if a baby's mattress is wet, and alert parents if a baby does not stop crying within a set time. The goal of these smart cradles is to help busy parents monitor and soothe babies without constant physical attention. Various technologies discussed include cry detection sensors, alarms, wireless control, and machine learning algorithms to classify baby sounds.
IRJET- Child Safety Wearable Device using Wireless TechnologyIRJET Journal
The document describes a child safety wearable device that uses wireless technology. The device monitors a child's health conditions like temperature and heartbeat using sensors. It also detects changes in position using an accelerometer and detects obstacles using an ultrasonic sensor. If abnormal readings are detected, an alert is sent via SMS and a video is captured and emailed. The device is integrated into a glove and connects to the cloud to store and display sensor data for authorized users to access remotely. The system aims to help reunite lost children with their parents.
IRJET- Smart and Secure IoT based Child Monitoring SystemIRJET Journal
The document describes a proposed smart and secure IoT-based child monitoring system. The system uses radar devices and obstacle sensors to detect when a child enters a danger zone or approaches a harmful object, then alerts the caregiver via mobile notification or alarm. Waterproof ultrasonic sensors placed in a locket worn by the baby would detect dangers and alert the caregiver's mobile device. The system aims to solve problems for baby guardians and secure babies from dangers, notifying guardians when hazards are near. It also reviews several related works on child monitoring systems and IoT applications and their methodologies and findings.
This document provides an outline and summary of a project to design and implement a child tracking device using GPS, GSM, and Arduino. The objectives are to ensure children's security by developing a simple, cost-effective tracking system. It discusses the background and motivation, including statistics on missing children. The proposed system design includes GPS to track location, GSM to send location via SMS, and Arduino as the microcontroller. It describes the hardware and software components, including the GPS and GSM modules, Arduino, and power distribution. The implementation details the use of Arduino IDE and experimental setup. Results analysis demonstrates sending location coordinates via SMS and viewing on Google Maps. It compares the proposed low-cost system to existing
This document summarizes the design and implementation of a child tracking device using GPS, GSM, and Arduino. The system aims to ensure children's safety by allowing parents to track their location through SMS. It consists of three main subsystems - a GPS module to obtain location coordinates, a GSM module to send coordinates via SMS, and an Arduino board to connect the components. The design was implemented on a PCB board with low-cost components. Experimental results showed the system could successfully send location updates to parents' phones via SMS and display the location on a map. The system provides a low-cost solution for tracking children and reducing missing child cases.
This document describes a child tracking system project that uses GPS and GSM technologies. The system uses an Arduino board, GPS module, GSM module, and battery. It tracks a child's location using GPS coordinates and sends the location to the parent's phone via text message using the GSM module. The project aims to help parents monitor their children's location and ensure their safety.
IRJET- Review Paper on –Baby Cradle Monitoring SystemIRJET Journal
This document describes a proposed baby cradle monitoring system that uses various sensors to monitor babies and update parents. It discusses designing a smart baby cradle with features like camera monitoring, automatic swinging when the baby cries, sensing wetness in the baby's bed, monitoring the baby's presence in the cradle, and sending SMS messages to parents' phones to notify them about the baby's status. The proposed system aims to help busy working parents remotely monitor their babies using new technologies while alleviating their stress and anxiety. It outlines the existing limitations and proposes a new architecture using sensors, microcontrollers, and wireless communication.
The document describes a proposed IoT-based smart cradle system for baby monitoring. The system would use sensors to monitor a baby's vital signs and movements in the cradle. It would automatically rock the cradle in response to crying or discomfort. Parents could monitor the baby remotely through a mobile app that displays sensor data and sends alerts. The goal is to enhance parental care and safety by reducing the need for constant physical intervention through automated responses and remote monitoring capabilities enabled by IoT technologies.
IRJET- IoT and ML based Smart TV for Child Eyes SafetyIRJET Journal
This document presents a smart TV system that uses IoT and machine learning concepts to monitor children's eyes safety while watching TV. The system uses a Raspberry Pi connected to a proximity sensor and camera module to detect if a child is too close to the TV screen. If the child exceeds a safe distance, the Raspberry Pi will send an SMS notification to the parents. The camera module uses computer vision and a Haar cascade classifier to detect the child's face and eyes. The overall system aims to reduce eye strain and retina degradation in children by encouraging them to watch TV from a safer distance.
IRJET- Smart and Secured Rescue Robot to Trap a Child from Open BorewellsIRJET Journal
This document describes a proposed smart and secured rescue robot system to safely extract children who have fallen into open borewells. The system includes a robotic section that would be sent down the borewell containing sensors to monitor conditions, a camera, and a robotic arm controlled manually. It would transmit sensor data and video to a command and monitoring section via WiFi. The goal is to develop a more effective and safer alternative to the current process of digging a parallel pit, which takes time and poses risks. The robotic system is intended to reduce risks during child rescue operations from open borewells.
IRJET- IoT based Smart Cradle System for Baby MonitoringIRJET Journal
This document describes a proposed IOT-based smart cradle system for baby monitoring. The system uses various sensors to monitor the baby's conditions and activities in the cradle. It uses a sound sensor to detect if the baby is crying and will automatically start swinging the cradle. It uses a wet sensor to detect if the baby's diaper is wet and sends an alert. It uses temperature sensors to monitor the baby's body temperature and room temperature, sending an alert if any large changes are detected. It uses a motion sensor to detect motion in the cradle for security purposes and will send an alert if excessive motion is detected. The system is designed to help parents monitor the baby remotely using their mobile phones and decrease their stress while allowing them to
The document describes a smart bore well child rescue system consisting of a remotely controlled robot equipped with sensors, a camera, and a balloon. The robot is designed to rescue children who have fallen into uncovered bore wells. It is controlled wirelessly using Zigbee technology from a PC. The robot uses sensors to assess conditions inside the bore well, a camera to view and monitor the child, and a balloon to lift the child out of the bore well once located. The system aims to provide an improved rescue method compared to existing techniques that can be risky, time-consuming, and require large machinery and space.
INTELLIGENT HSE-HAZOP CRADLE FOR HOME AND HOSPITAL BABY MONITORINGIRJET Journal
The document describes a proposed intelligent HSE-HAZOP cradle system for monitoring babies in homes and hospitals. The system uses sensors and microcontrollers like Node-MCU to automatically activate rockers when a baby cries. It also detects temperature and humidity to alert caregivers if levels are abnormal. The cradle system is connected to the Internet of Things to allow remote monitoring and control via a mobile app. The proposed system aims to help working mothers and busy nursing staff by automating some baby monitoring and care tasks. A prototype was developed to automatically play lullabies and turn on lights to soothe crying babies in addition to remote monitoring capabilities.
IRJET - Poultry Farm Controlling based on IoTIRJET Journal
This document describes a poultry farm monitoring system using IoT technology. The system uses sensors to monitor temperature, humidity, gas levels and food levels in the farm. An Arduino Mega controller collects data from the sensors and sends it to the cloud. Users can then view the sensor data through a mobile app, which will also notify them of any abnormal conditions. The system aims to automate 80% of the farm monitoring process and remotely manage conditions in the poultry house.
IRJET- Implementation of Children Tracking System on Android Mobile Termi...IRJET Journal
This document describes the implementation of a children tracking system on Android mobile terminals. The system uses an Arduino microcontroller, GPS module, and GSM module to track the location of children and send alerts to parents' phones if they move beyond a certain area or press a panic button. It allows parents to monitor the safety and location of their children in real-time. The system was designed to address the increasing issue of children going missing and to provide secure tracking of children at schools.
IRJET - Smart E – Cane for the Visually Challenged and Blind using ML Con...IRJET Journal
This document proposes a smart cane called the Smart E-Cane for visually impaired and blind people using machine learning concepts. The Smart E-Cane will include sensors for obstacle detection and provide location-based feedback. It will also be able to detect different raised surfaces like stairs, slopes, or rocks using a magnetometer and machine learning models trained on sensor data. This will help identify obstacles more precisely. An accompanying wearable band is also proposed to locate the cane if misplaced and send the user's location via IoT in emergencies. The system aims to provide independence and safety for visually impaired users while walking without assistance.
This document summarizes a research paper that examines pricing strategy in a two-stage supply chain consisting of a supplier and retailer. The supplier offers a credit period to the retailer, who then offers credit to customers. A mathematical model is formulated to maximize total profit for the integrated supply chain system. The model considers three cases based on the relative lengths of the credit periods offered at each stage. Equations are developed to represent the profit functions for the supplier, retailer and overall system in each case. The goal is to determine the optimal selling price that maximizes total integrated profit.
The document discusses melanoma skin cancer detection using a computer-aided diagnosis system based on dermoscopic images. It begins with an introduction to skin cancer and melanoma. It then reviews existing literature on automated melanoma detection systems that use techniques like image preprocessing, segmentation, feature extraction and classification. Features extracted in other studies include asymmetry, border irregularity, color, diameter and texture-based features. The proposed system collects dermoscopic images and performs preprocessing, segmentation, extracts 9 features based on the ABCD rule, and classifies images using a neural network classifier to detect melanoma. It aims to develop an automated diagnosis system to eliminate invasive biopsy procedures.
This document summarizes various techniques for image segmentation that have been studied and proposed in previous research. It discusses edge-based, threshold-based, region-based, clustering-based, and other common segmentation methods. It also reviews applications of segmentation in medical imaging, plant disease detection, and other fields. While no single technique can segment all images perfectly, hybrid and adaptive methods combining multiple approaches may provide better results. Overall, image segmentation remains an important but challenging task in digital image processing and computer vision.
This document presents a test for detecting a single upper outlier in a sample from a Johnson SB distribution when the parameters of the distribution are unknown. The test statistic proposed is based on maximum likelihood estimates of the four parameters (location, scale, and two shape) of the Johnson SB distribution. Critical values of the test statistic are obtained through simulation for different sample sizes. The performance of the test is investigated through simulation, showing it performs well at detecting outliers when the contaminant observation represents a large shift from the original distribution parameters. An example application to census data is also provided.
This document summarizes a research paper that proposes a portable device called the "Disha Device" to improve women's safety. The device has features like live location tracking, audio/video recording, automatic messaging to emergency contacts, a buzzer, flashlight, and pepper spray. It is designed using an Arduino microcontroller connected to GPS and GSM modules. When the button is pressed, it sends an alert message with the woman's location, sets off an alarm, activates the flashlight and pepper spray for self-defense. The goal is to provide women a compact, one-click safety system to help them escape dangerous situations or call for help with just a single press of a button.
- The document describes a study that constructed physical fitness norms for female students attending social welfare schools in Andhra Pradesh, India.
- Researchers tested 339 students in classes 6-10 on speed, strength, agility and flexibility tests. Tests included 50m run, bend and reach, medicine ball throw, broad jump, shuttle run, and vertical jump.
- The results showed that 9th class students had the best average time for the 50m run. 10th class students had the highest flexibility on average. Strength and performance generally improved with increased class level.
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1. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
191
doi: 10.32622/ijrat.76201981
Abstract: Implemented project work deals with a intelligent
baby monitoring system. This system is helpful for busy
parents to ensure care and safety of their babies with use of
advanced technology. Implemented work going to detect
baby’s crying sound, motion as well as live streaming of baby
position in cradle. The live streaming of babies position and
activities are displayed on display unit which helps parents to
have continuous baby monitoring. The implemented work
deals with design and development of a baby cradle using
raspberry pi B+ as control unit. The different sensors like rain
drop sensor, condenser MIC and camera are used to assist
baby monitoring and are interfaced with the raspberry pi B+.
The baby sound like crying is detected by condenser MIC.
Live streaming is done by the pi camera. Baby’s urine is
detected by wet sensor and SMS will be sent to parents. The
result obtained from the designed work shows the easier and
convenient way of baby monitoring for busy parents.
Index Terms—Baby Monitoring System, Raspberry Pi, Pi
Camera.
I. INTRODUCTION
The baby cradle is used to make sleep and soothe to a baby.
Conventional cradle does not electronically equip such like
battery or adapter to automate the cradle. In Addition to that,
these kind of conventional cradle is used in villages areas or
non-developed cities due to its low prices. These designated
cradle need a manpower to take care of child .However a
child may not be safe and feel comfortable in the
conventional cradle. Thus, there is a scope to automate the
cradle to take care of child. Besides, there are extra features
or function is provided by the newly automatic cradle that is
beneficial for parents. In the present world people are very
busy in their professional life so they do not get ample time to
take care of their infants. It will be very difficult control the
babies and if someone is hiring professional to take care of
their infants. It may increase the monthly expenses.
Moreover, in today, life it is very hard to even for the
homemakers (mummy) to sit nearby their babies and sooth
them whenever they feel uncomfortable. The baby
monitoring system is a kind of alarm system which can detect
babys movements and activities and can convey the message
about the condition of babies to the concerned authority via
Manuscript revised June 9, 2019 and published on July 10, 2019
Mr.A.R.Telepatil, Department of Electronics and Telecommunication
Engineering, D.K.T.E’s TEI, Ichalkaranji, Maharashtra
Miss. P.P.Patil, Department of Electronics and Telecommunication
Engineering, D.K.T.E’s TEI, Ichalkaranji, Maharashtra
Miss. S.S.Yejare, Department of Electronics and Telecommunication
Engineering, D.K.T.E’s TEI, Ichalkaranji, Maharashtra,
Miss. S.R.Jadhav, Department of Electronics and Telecommunication
Engineering, D.K.T.E’s TEI, Ichalkaranji, Maharashtra,
mobile or even a display. Monitoring a baby continuously is
really a tough job as well as it is not possible for the parents to
carry out their babies all the time with them especially while
working. In proposed system intelligent baby monitoring
framework has been designed and developed using raspberry
pi B+ as control unit. The different sensors like rain drop
sensor, condenser MIC and camera are used to assist baby
monitoring and are interfaced with the raspberry pi B+. The
baby sound like crying is detected by condenser MIC. Live
streaming is done by the pi camera. Baby’s urine is detected
by wet sensor and SMS will be sent to parents. The result
obtained from the designed work shows the easier and
convenient way of baby monitoring for busy parents.
II. LITERATURE SURVEY
Aslam Forhad Symon et al. [1] designed baby
monitoring system to detect baby’s activities like motion and
cry sound. This system is accomplished with display unit,
buzzer and camera module. Whenever baby motion or cry is
detected, camera module is turned on to display baby motion
on display unit and buzzer to indicate baby’s cry Detection.
System proposed in [2] is designed using raspberry pi 3,
camera, wet sensors, sound sensor, PIR sensor, sound sensor,
DC motor and SMS module. This system encloses the
different features like camera monitoring, automatic
swinging of cradle when baby cries, sensing the wetness of
baby’s bed, monitoring presence of baby in the cradle.
Message about baby’s cry, wetness in bed and absence of
baby in the cradle are sent to parent’s mobile number to
intimate them about their baby.
Savita P. Patil et al. [3] presented a baby monitoring
system based on GSM network. This system monitor’s
body’s health parameters like temperature, moisture, pulse
rate and movement and deliver these measured parameters on
the parent’s mobile using GSM network. System presented in
[4] includes reminder system as important feature in baby
monitoring activity. It conveys measurements of various
parameters to the parents with an alarm triggering to initiate
proper actions. Using this feature, parents or caretakers can
set reminder about feeding time and vaccination date.
Framework of the proposed in [5] deals with developing
a smart electronic cradle to convoke all the data to assist the
baby and to bridge the gap between the parents and the infant.
The main nonpartisan of the system is to create a bed time
ritual, lull the baby to slumber, assist the baby and to provide
a healthy environment. Prototype model presented in [6] is a
configuration of a programmed cradle with the assistance of a
PIR sensor and android app. PIR sensor detects the
movement of infant. Cradle swings are controlled via voice
command through mobile app. The cradle additionally
incorporates a wet sensor which will caution the folks or the
Attendant/sitter for bunk wetting of the infant.
Intelligent Baby Monitoring System
Mr.A.R.Telepatil, Miss.P.P.Patil, Miss. S.S.Yajare, Miss.S.R.Jadhav
2. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
192
doi: 10.32622/ijrat.76201981
[7] Presents the design and implementation of cradle
system that swings the baby cradle automatically when baby
cries. The system has inbuilt alarm that indicates two
conditions – first when the mattress is wet, which is an
important parameter to keep the baby in hygienic condition,
second when baby does not stop crying with in a stipulated
time, which intimated that baby needs attention. The
equipment proposed in [8] includes a motor, sensors, and
oscillating carriage. The electric powered motor will actuate
the links by shaft and the links actuates the bed in a constant
speed which is attached to the carriage.
III.SYSTEM DESIGN AND IMPLEMENTATION
3.1 Hardware Implementation:
3.1.1 Raspberry Pi and Pi camera:
The Raspberry Pi 3 Model B+ as shown in fig. 3.1 (a) is the
latest product in the Raspberry Pi 3 range, boasting a 64-bit
quad core processor running at 1.4GHz, dual-band 2.4GHz
and 5GHz wireless LAN, Bluetooth 4.2/BLE, faster Ethernet,
and PoE capability via a separate PoE HAT. The Raspberry
Pi Camera Board as shown in fig 3.1(b) plugs directly into the
CSI connector on the Raspberry Pi. It's able to deliver a
crystal clear 5MP resolution image or 1080p HD video
recording at 30fps. The module attaches to Raspberry Pi, by
way of a 15 Pin Ribbon Cable, to the dedicated 15-pin MIPI
Camera Serial Interface (CSI), which was designed
especially for interfacing to cameras. The CSI bus is capable
of extremely high data rates, and it exclusively carries pixel
data to the BCM2835 processor.
(a) (b)
Fig 3.1 (a) Raspberry Pi 3 B+ Module Fig 3.1 (b) Pi
Camera
3.1.2 Condenser MIC and Wet sensor
Sound Detection Module is shown in fig 3.2 (a) .It is a Single
channel signal output Sensor. The output is effective to the
low-level sound signal with good fidelity, when there is
sound, outputs low level and signal light. Condenser MIC
module is used to detect the baby’s sound. When baby cries
condenser MIC detects the sound and gives output to the
controller and detection of sound is displayed on screen. The
rain sensor module shown in fig 3.2 (b) is an easy tool for
wetness detection. It is connected to 5V power supply, the
LED will turn on when induction board has no water drop,
and DO output is high. When dropping a little amount water,
DO output is low, the switch indicator will turn on. Brush off
the water droplets, and when restored to the initial state,
outputs high level.
(a) (b)
Fig 3.2 (a) Condenser MIC Fig 3.2 (b) Rain drop sensor
3.1.3 DC Motor, Motor driven IC and Gear:
100RPM Centre Shaft Economy Series DC Motor is high
quality low cost DC geared motor. The L293D devices are
quadruple high current half-H drivers. The L293D is
designed to provide bidirectional drive currents of up to 1 A
at voltages from 4.5 V to 36 V. The L293D is designed to
provide bidirectional drive currents of up to 600-mA at
voltages from 4.5 V to 36 V. Gear is used for converting
circular motion into forward and backward (linear) motion
with help of specific setup. DC motor with motor driver IC
and gear is as shown in figure 3.3 (a), (b), (c) respectively.
(a) (b) (c)
Fig 3.3 (a) DC motor Fig 3.3 (b) IC L293D Fig 3.3 (c)
Plastic gear
Complete hardware setup oh implemented work is as shown
in figure 3.4.
Figure 3.4 Complete hardware view of implemented system
3.2 Software Implementation:
Step 1: Initially GPIO pins are scanned.
Step 2: Camera turned on.
Step 3: If input from firebase is ―f‖ then output at GPIO pin
21 and 20 is True and False resp.
if input from firebase is „s‟ then output at GPIO pin
21 and 20 is False and False.
Step 4: If sound is detected then step 5 is carried out and if
urine is detected step 6 is carried out.
Step 5: Message is displayed on screen.
Step 6: Message will be sent to parents mobile.
The flow of operation for implemented work is as shown in
figure 3.5
3. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
193
doi: 10.32622/ijrat.76201981
START
Initialization GPIO on board
Turn ON camera
Is URINE
Detected
NO
send Message to Mobile
YES
Is SOUND
Detected
Display Message to desktop
YES
NO
STOP
Figure 3.5: Flowchart of operation
IV. RESULTS
The implemented project work is capable of sending a live
video stream of the baby using camera to webpage,
accessible through both mobile phone and laptop. Live
steaming is as shown in figure 4.1
Figure 4.1: Live Streaming
If urine is detected notification is sent to parents to change the
diaper. Twilio software is used to send notification.
Notification result is as shown in figure 4.2
Figure 4.2: Notification system
V. CONCLUSION AND FUTURE SCOPE
5.1 Conclusion:
The electronic baby cradle is the finest solution for today’s
parents who cannot find the sufficient time for their babies.
This intelligent baby cradle would let the working mother to
do household works besides taking care of baby at the same
time. It is economical and user friendly. The intelligent baby
cradle can be used in hospitals and home. It is very useful for
working parents and hospitals to take care of babies.
5.2 Future scope:
In future we can add more features to make more efficient
and user-friendly. The feature we can add to this device such
rotating toy and the sound detector to detect sound of the
baby could be added to enhance the system features. By using
machine learning it is possible to detect only baby’s voice.
We can add music or lullaby which can entertain baby. With
the development of technology daily routine has been eased
for the parents along with the baby care.
REFERENCES
[1] Aslam Forhad Symon, Nazia Hassan, Humayun Rashid, Iftekhar
Uddin Ahmed, S M Taslim Reza, ―Design and Development of a
Smart Baby Monitoring System based on Raspberry Pi and Pi
Camera‖,4th International Conference on Advances in Electrical
Engineering pp 117-122, September 2017.
[2] S.Srikanth, P.Ramya, M.Satheesh, G.Thomas Philip and K.Vineetha
―Smart Baby Cradle System‖,International Journal of Advances in
Scientific Research and Engineering,Volume 4, Issue 3, pp 51-60,
March – 2018.
[3] Savita P. Patil and Manisha R. Mhetre, "Intelligent Baby Monitoring
System", ITSI Transactions on Electrical and Electronics Engineering,
volume 2, Issue 1, pp.11-16, 2014.
[4] Shreelatha, Shreya Pai, Sonal Cynthia Pereira, Tanya Nicole, Ms
Ushadevi A., ― Advanced Baby Monitor‖ International Journal of
Internet of Things ,pp 51-55 , June 2017.
[5] I.Natheera, S.Sundaravadivel, N.L.Visakan,S.Viswanathan and
M.Vivekkumar, ―Smart Cradle‖, Asian Journal of Applied Science and
Technology (AJAST), Volume 2, Issue 2, Pages 291-300, April-June
2018.
[6] P.B. Patel, Sudhir Ticku, Suraj Darunde, ―Automation In Baby Cradle
Bed‖,International Journal of Advance Research in Science and
Engineering,vol ,issue 4,april 2018.
[7] Misha Goyal,Dilip Kumar, ―Automatic E-Baby Cradle Swing based on
Baby Cry‖, International Journal of Computer Applications (0975 –
8887) Volume 71– No.21, June 2013.
[8] Tushar P. Patekar, Pooja S. Dawale, Pooja A. Jaiswal, ―Design and
Fabrication of Automatic Baby Cradle System‖, International
Research Journal of Engineering and Technology (IRJET) Volume:
05,Issue: 02,Feb-2018
AUTHORS PROFILE
Mr.A.R.Telepatil received his Master’s Degree in
Electronics Engineering from Shivaji University Kolhapur in
2009. Presently he is working as Assistant Professor in
D.K.T.E.’s Textile and Engineering Institute, Ichalkaranji.
His areas of interests are Embedded System, Image
Processing and Communication Engineering.
Miss. P.P.Patil received her Bachelor’s Degree in
Electronics and Telecommunication Engineering from
Shivaji University Kolhapur in 2019.
4. International Journal of Research in Advent Technology, Vol.7, No.6, June 2019
E-ISSN: 2321-9637
Available online at www.ijrat.org
194
doi: 10.32622/ijrat.76201981
Miss. S.S.Yejare received her Bachelor’s Degree in Electronics
and Telecommunication Engineering from Shivaji University
Kolhapur in 2019.
Miss. S.R.Jadhav received her Bachelor’s Degree in Electronics
and Telecommunication Engineering from Shivaji University
Kolhapur in 2019.