Smart Pantry System
Keywords:
sensors, cameras, machine learning algorithmsAbstract
An innovative system that makes use of the newest technologies to improve kitchen pantry management is known as a "Smart Pantry system." To track the foods kept in the pantry and keep an eye on their expiration dates, the system uses sensors, cameras, and machine learning algorithms. Users may avoid food waste, save time, and make wise grocery shopping choices with the aid of this system. The Smart Pantry system is made up of a number of parts, such as sensors and cameras that aid in the detection of pantry contents. To keep track of inventory levels, these components can be mounted on pantry shelves or inserted in pantry drawers. To identify the products kept in the pantry, the system employs machine learning algorithms to analyse the data gathered by these sensors and cameras. The Smart Pantry system is capable of learning and adapting to users' tastes and behaviours over time by utilising artificial intelligence and machine learning techniques. The capability to monitor the expiration dates of the foods kept in the pantry is one of the Smart Pantry system's primary advantages. The device can track a product's shelf life and notify users when it is about to expire by using sensors and cameras. By doing so, people can prevent food waste and enjoy the products before they spoil. Additionally, the system can offer recipe recommendations based on the ingredients in the pantry, helping to further reduce food waste and promote sustainable living. The ability to generate and manage shopping lists is yet another crucial component of the Smart Pantry system. The system will automatically update inventory levels and alert users when an item is running short. Users can add products to their shopping list through the mobile app or web portal. Users may keep informed and organised while also doing away with manual inventory management.
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Copyright (c) 2023 Sabina Rahaman, V. M. Rajashekara, S. Rohan, M. N. Prajwal, Vishal
This work is licensed under a Creative Commons Attribution 4.0 International License.