Current intelligent segmentation and cooking technology in the central kitchen food processing

Abstract

AbstractThe social division of labor more and more detailed, part of the agricultural products can be processed by a third‐party to solve the needs of standardization and intensification, and the central kitchen is the current trend of the high‐intensity, intensive, and repetitive catering industry. In the process of processing large quantities of food materials, standardization of catering industry's finished or semifinished products decline due to the low‐automatic degree equipment and high‐intensity labor demand, therefore high automation and intelligent processing equipment market prospects will be more broad. As a processing place for finished and semifinished dishes, central kitchen has realized partial automation in the pretreatment process of food materials. To achieve the best state of food processing, intelligent processing equipment considered as the best choice for enterprises. In this article, the segmentation and cooking process of ingredients in the central kitchen, such as water jet technology, 3D segmentation techniques, high spectral combination neural network intelligent segmentation technology, and intelligent cooking and recognition technology were reviewed, which can provide theoretical basis for cooking and catering industry to realize intelligent food processing.Practical applicationsIntelligent identification and classification of food materials is the key to improve the intelligent pretreatment of food materials in the central kitchen. Intelligent processing of fruits, vegetables, meat, and fish not only reduces the volume of equipment and makes it possible for the same equipment to cut multiple food materials, but also the processing cost is lower than that of automatic processing equipment. In addition, the combination of hyperspectral neural network control technology will also improve the intelligence of the central kitchen. Hyperspectral technology captures images of food materials through multiple sensors, and the collaborative neural network control module adaptively separates and cooks food materials, providing a basis for further improvement of industrial robots.