Speech recognition technology of automatic packaging production line has been applied in automatic system, such as data recording, storage control, quality inspection record, material handling and classification system, etc., and now it is being applied to real-time control of production process.
Speech recognition technology enables computers to recognize speech and understand semantics in real time, and can communicate with people in natural languages. Of course, these languages are standardized.
After the automatic packaging production line adopts speech recognition technology, the operator wears a receiver connected with the communication board, and communicates with the computer or other operators with language. If the feeding in the production process is blocked, the computer will directly tell the operator in language: "please note the VX feeding station". The operator does not have to analyze the information to know where there is a problem and can go directly to the X feed station to deal with the fault.
Because the human-computer interaction is through language, the operator can obtain the complete information of the packaging production line as in the control room when troubleshooting in the feeding station, command the computer to perform necessary operations with language, and contact other operators.
Therefore, after using speech recognition technology, no matter where the operator is, he can get the same information and perform operations. Operators do not have to stay in the control room, but can patrol the site to find and deal with problems in the packaging production line in time. Human computer interaction with language, more simple, clear and not easy to misunderstand, better real-time.
Speech recognition technology also has a broad application prospect in packaging automation, engineering design CAD and information management system.
Text and graphic recognition technology also has important applications in automatic operation environment. For example, important operation instructions can only be executed after the personal signature or seal of the sender is recognized by the computer.
For major and complex operations, such as changing the operating network structure, switching of important equipment, etc., it can be written into articles or drawn network switching diagram, which can be automatically executed after being read and understood by the computer's graphic recognition system. Turning the operation instruction into a written document has more "legal effect" and is less prone to error. It is applicable to some operations that are particularly important or difficult to express clearly in language.
An important application of image recognition technology in automation system is as intelligent packaging production line equipment, which can monitor important production equipment or dangerous scene, and timely inform operators when abnormal conditions are found. Image recognition technology can also be used to automatically track the operators in the assembly line, so that the computer can know the position of the operators at any time The operator is informed of the useful information. The operator's action can be monitored by using image recognition technology. The operator's operation error can be found and prevented and corrected in time.