INTRODUCTION AND PRODUCTION DESCRIPTION
This study extends our previous research, "Examining Status of Food Decaying Smartphone IoT Technology," created primarily based on SeungHyun's experience. We aimed to make it much easier for users to access devices than in our previous research which we used raspberry pi to control the database and the calculated data. In this study, we made an android app instead of using raspberry pi to reduce the number of devices needed into one, and still sorted the data and analyzed it.
WHY ARE WE DOING THIS RESEARCH?
This study aims to ensure that children who have to eat lunch alone under busy parents do not eat spoiled food. Since SeungHyun's house is a dual-income family and Korea is legally acceptable to leave kids alone at home, his mother prepared lunch for him in a lunch box during vacation, and she always left the door anxiously telling him to check the food before eating. No wonder, because summer vacation is much more extended, the situation to have a lunch in a lunch box is more often in summer, and because summer in Korea is hot and humid, food is more dangerous than ever before. In addition, it is difficult for young children to distinguish whether the food is spoiled even if they smell it and taste it.
We think the technology to check the decaying state of food without tasting and smelling it can help children and anyone who cannot distinguish the upper limit of food. In addition, if IoT technology is combined to check the corruption status in real-time through mobile phones and home networks, guardians who are busy working can be a relief, and it also can be used to check the food and ingredients to maintain it in the best state.
ABOUT THE PAST RESEARCH
The past research was about examining the status of food decay using Smartphone IoT Technology. The objective of the past study was to create an automation system to determine the state of food decay without direct human contact. A plan was made based on computer programming to build a corrupt state machine using Arduino and analyze the data by making a database. The analyzed data was shown through the application made in Raspberry Pi. It was conceived that when bacteria consume food, methane gas is emitted from bacteria, and the methane gas sensor was used to check the decaying state of the food.
Overall, it is similar to this research, but Raspberry Pi and MySQL databases were used in the past research. This time, using TypeScript, React Native, and Node.js, the android app was built to sort and analyze the measured data sent from Arduino. Again, AWS Lambda, AWS DynamoDB, and AWS API Gateway were used to gather and analyze data linked with the android app using the React Native and Amazon server.