Digital And Intelligent Equipment Leads The Convenience Food Industry To Accelerate The Improvement Of Quality And Efficiency
AI technology has greatly enhanced the innovation of packaging equipment， according to the “Top 10 Innovative Trends in the Convenience Food Industry for 2023-2024” released recently.The Digital Equipment Leading Convenience Food Future Forum hosted by the China Food Science and Technology Society, was hold on August 30th. The representatives from equipment manufacturing companies and industry experts exchanged ideas on the latest technology and innovative achievements in their respective fields, further exploring new paths for the transformation and upgrading of supporting machinery and equipment in the convenience food industry. From circular and square individual packaging machines to strip and irregular whole line packaging lines, from manual and mechanical screening to the integration of AI technology and all-round visual color selection technology, convenient food packaging equipment has achieved new leaps in digitalization and intelligence.
Food Machinery
The digitization of food processing refers to the digital representation, collection, and analysis of all information throughout the entire production process. On the basis of information collection and analysis, further perception, thinking judgment, learning, and effective execution are called intelligence. Based on this, the efficiency and precision of the food industry have been greatly improved.
Food manufacturing is a complex physical, chemical, and biological reaction process that involves changes in the properties of biological materials, processing, formation and characterization of quality characteristics, equipment design and manufacturing, and more. The digitization of food mainly revolves around the digitization of raw materials, processes, and equipment. In these processes, various non-destructive testing methods that do not damage the detection object have emerged. Taking the digitization of raw materials as an example, a typical example is how to identify the internal organs of scallops during the processing and then remove them with relevant equipment.