There is a growing need for food products that comply to high-quality and safety requirements, and as a result, there is a developing need for a determination of these characteristics in food items that is accurate, quick, and objective. The application of computer vision provides a solution that is not damaging, automated, and cost-effective in order to fulfill these needs. This type of inspection, which is based on the analysis and processing of images, has discovered a wide range of uses within the food business. A substantial amount of study demonstrates that it has the capacity to evaluate and grade fruits and vegetables successfully. In the process of evaluating the quality of a variety of culinary items, including meat, fish, pizza, cheese, and bread, computer vision has been shown to be an effective tool. In a similar manner, it has been utilized to investigate the qualities and properties of grain. The purpose of this paper is to present an overview of the most recent advancements in the food business, as well as to explain major components of a computer vision system, highlight important features of image processing techniques, and highlight the importance of these approaches.