Computer Vision Enabled Smart Refrigerator: A Detachable Module Approach

In modern families, there is a growing need to manage food in ways that reduce waste, support healthy eating habits, and make daily meal planning easier. This paper introduces a detachable module based on computer vision that can change a standard refrigerator into a smart food management system. It has an onboard camera that captures pictures of the stored products when door of refrigerator is detected as open , using advanced image recognition sets of computer instructions to identify and classify them as food. Data that is identified is further moved to a centralized database so that quantity of items stored can be watched in real time. This module also provides smart abilities for suggesting recipes according to available ingredients, track expiry date and nutrition analysis. This helps users choose the healthier option in the given menu. By taking advantage of machine learning models, the module can describe a possible future event of extremely important items and tell users by making sure of appropriately-timed restocking. This detachable design makes sure of compatibility with a wide range of refrigerators, making it cost effective and easy to get. The proposed system has the possible ability to food management by improving convenience, reducing waste, and health-conscious decision-making in everyday life.