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Purpose: Nowadays, many electronic thermometers are available to measure baby fever. There are two types of thermometers. One type needs contact with the body, and the other is contactless. The contact-type thermometer must be touched to the body for a few minutes till the count is steady. Sometimes, our baby is unwilling to keep the thermometer on their body for a long time. Both contact and contactless thermometers are operated manually. The baby's body temperature cannot be captured When the mother or attender sleeps. However, the mother could not measure the temperature without sleeping all night. When the mother sleeps at night, and the baby's fever suddenly goes high, she needs to feed the baby fever medicine or water bath on the baby’s forehead. It would be good if someone continuously measured the temperature and informed us of some abnormal temperature detection. Yes, now we have the solution. We can solve the problem using our IoT technology. We can automatically measure the baby's body temperature even when the mother sleeps. If the temperature is in an abnormal range, the system draws attention, producing an audio and visual alarm. The system reads the temperature in every predefined interval and saves it to the cloud. When we visit the clinic, the doctor generally wants a temperature history. Using this procedure, the temperature graph can be autogenerated. In this research work, we describe a process to measure the baby's body temperature autonomously and make a backup to the cloud. Design/Methodology: we are making the project possible using IoT technology. We are using a contactless temperature sensor MLX90614. The temperature is processed by Arduino Mega and uploaded to the cloud through the Nodemcu using the MQTT protocol. We are saving the data to the WordPress database. Additionally, to extend the device’s functionality, we integrated Alexa. When the mother needs to get the temperature, she must ask Alexa over the voice command. The Alexa will respond to the current body temperature as voice. It is required basically at night when all high-intensity lights are off. Findings/Result: we created the prototype device and ran a proof of concept. The device runs for a couple of weeks. The device worked as expected. For the scope of improvement, we found a couple of points. For example, our device is bulkier due to the prototype; in practice, it is a handy device. The GUI is also more user-friendly. The complete process is automatic, and before the doctor's visit, we need to carry the temperature graph, which can be generated from our C# application. Originality/Value: The medical device, especially for a baby, needs to be designed so that the baby gets a little bit involved. We surfed the net and found most of the automated fever measurement devices use contact type, which creates several complications for the baby when it is attached to the baby’s body. So here, we added a couple of unique approaches to provide more value in our daily lives. We said a contactless temperature sensor so that there is no need for direct contact with the baby’s body. The second one is that it is Alexa-enabled. The temperature can be a voice response if the room has no light, especially at night. The third one is the autogenerated temperature graph, which is very helpful when we go for a doctor's consultation. The above features provide novelty. Type of Paper: Experimental-based Research.
Purpose: Nowadays, many electronic thermometers are available to measure baby fever. There are two types of thermometers. One type needs contact with the body, and the other is contactless. The contact-type thermometer must be touched to the body for a few minutes till the count is steady. Sometimes, our baby is unwilling to keep the thermometer on their body for a long time. Both contact and contactless thermometers are operated manually. The baby's body temperature cannot be captured When the mother or attender sleeps. However, the mother could not measure the temperature without sleeping all night. When the mother sleeps at night, and the baby's fever suddenly goes high, she needs to feed the baby fever medicine or water bath on the baby’s forehead. It would be good if someone continuously measured the temperature and informed us of some abnormal temperature detection. Yes, now we have the solution. We can solve the problem using our IoT technology. We can automatically measure the baby's body temperature even when the mother sleeps. If the temperature is in an abnormal range, the system draws attention, producing an audio and visual alarm. The system reads the temperature in every predefined interval and saves it to the cloud. When we visit the clinic, the doctor generally wants a temperature history. Using this procedure, the temperature graph can be autogenerated. In this research work, we describe a process to measure the baby's body temperature autonomously and make a backup to the cloud. Design/Methodology: we are making the project possible using IoT technology. We are using a contactless temperature sensor MLX90614. The temperature is processed by Arduino Mega and uploaded to the cloud through the Nodemcu using the MQTT protocol. We are saving the data to the WordPress database. Additionally, to extend the device’s functionality, we integrated Alexa. When the mother needs to get the temperature, she must ask Alexa over the voice command. The Alexa will respond to the current body temperature as voice. It is required basically at night when all high-intensity lights are off. Findings/Result: we created the prototype device and ran a proof of concept. The device runs for a couple of weeks. The device worked as expected. For the scope of improvement, we found a couple of points. For example, our device is bulkier due to the prototype; in practice, it is a handy device. The GUI is also more user-friendly. The complete process is automatic, and before the doctor's visit, we need to carry the temperature graph, which can be generated from our C# application. Originality/Value: The medical device, especially for a baby, needs to be designed so that the baby gets a little bit involved. We surfed the net and found most of the automated fever measurement devices use contact type, which creates several complications for the baby when it is attached to the baby’s body. So here, we added a couple of unique approaches to provide more value in our daily lives. We said a contactless temperature sensor so that there is no need for direct contact with the baby’s body. The second one is that it is Alexa-enabled. The temperature can be a voice response if the room has no light, especially at night. The third one is the autogenerated temperature graph, which is very helpful when we go for a doctor's consultation. The above features provide novelty. Type of Paper: Experimental-based Research.
Purpose: MQTT stands for Message Queuing Telemetry Transport. It is a lightweight protocol specifically designed for IoT applications. Nowadays, most IoT projects exchange sensor data over the MQTT protocol. It is simple to integrate and can run on low hardware resources. To test MQTT, the researcher needs MQTT publisher subscriber client software. There are several free and paid software available on the web. But sometimes, researchers need some custom interface or functionality not available in the free version. The paid version demands vast amounts of money for customization. Occasionally, they want to avoid customization for specific projects. Here, we provide a procedure to create our MQTT pub-sub client software interface, which the researcher can easily customize. The project is available to download. Methodology/Approach: We installed Microsoft Visual Studio in our working system. Using C# language, we create a GUI (graphical user interface). Inside the GUI, we segregate the info into two. The left is for publishing clients, and the right is for subscribing clients. We installed the M2MQTT package using the NuGet package manager to communicate with the MQTT broker. Findings/Result: Using our built application, we test to exchange the sensor data between two clients. We found the data exchanged in almost real-time. In a couple of scenarios, we observed that the data propagation could have been faster when we set the update interval below 500 milliseconds. There may be a network delay, or the MQTT broker we used is a free service. It may be the limited capacity of the accessible mode of the server we used. If the application is not time-critical, we can utilize this communication route to exchange the sensor data. Originality/Value: Every day, new researchers are introduced to the IoT field and integrate MQTT into their projects. They feel one customizable software they can use according to their project requirements. So, using this project, the researcher can fulfill their need. The code is freely available on the web. And scope to customize. This project provides value to them. Type of Paper: Experimental-based Research.
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