Development and analysis of a smart cold storage system for fruit warehouses

Abstract

This research explores the innovative integration of traditional refrigeration systems with Object Detection via Artificial Intelligence. It leverages the use of an AI algorithm to optimize the temperature and enhance the overall efficiency of the system. This research presents a smart, eco-friendly cold storage system for fruits and vegetables to remain fresh for a longer period. Following the incorporation of Object Detection for intelligent temperature control for this system which will further improve the energy efficiency. The Object Detection component of the project uses computer vision to recognize objects within the cold storage and dynamically change the temperature to ensure optimal preservation based on the kind and number of contents. It will also provide information related to the state of the product (for example, if an apple is stale or fresh). The whole information will be accessible via the internet so we can access the data of the cold storage any time anywhere. The temperature and state of the fruits will also be displayed on the lcd. The practical application of this project is to be used in the agricultural and transport industry for long-term efficient storage of different objects in any compartment.

Keywords

• object detection
• refrigeration
• cold storage
• artificial intelligence