Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT

In our automated world, time is the most precious of all. Technology is crucial in saving time and protecting it from being wasted. Being a technology student, it's my responsibility to contribute to automation. People nowadays never attain enough duration to visit the marketplace, purchase veggies, and examine the quality and number of vegetables. Automation is handled with Computer vision and Artificial Intelligence as its eyes and brain. Without these two, the system cannot be said a fully autonomous. Data science is chosen for core in implementing an intelligent refrigerator system which is capable of sensing fruits, veggies and other familiar entities in the fridge, such as eggs, also sensing their respective quantities and quality, such as rotten or good in this case, in addition, an auto notifying and purchasing interface is the proposal. A CNN based supervised learning model that checks quality and quantity, as well as auto-shops online, might be an excellent addition to the automation arsenal. An advanced model equipped with data analysis and artificial intelligence could be a good fit. This article discusses the concept, architecture, construction process, and final product. The study describes the concept, architecture, construction process, and functionality of a refrigerator that is exposed as an IoT object and interacts with the items stored inside, gathers information about them, processes that information into relevant data, and then communicates that data to its owners via an IoT platform, in other words, a smart refrigerator.