Human-computer interface visual identification system and method
A human-machine interface and visual recognition technology, applied in the field of deep learning, can solve the problems of reduced attractiveness of young people, difficult to find engineers, difficult to afford the cost of CNC system update, etc., to achieve the effect of improving recognition accuracy and recognition speed
Pending Publication Date: 2020-05-29
武夷学院 +1
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Problems solved by technology
On the one hand, due to the repetitive and tedious on-duty work in the manufacturing process, such positions are gradually becoming less attractive to young people, and it is becoming more and more difficult to find suitable engineers. On the other hand, in an increasingly competitive market environment, it is difficult for enterprises to afford more advanced The update cost of the CNC system
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[0035] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0036] The solution of the present invention makes it easier to generalize the NC display panel-assisted depth recognition to other NC machine tool recognition requirements, and even apply to image recognition of more diverse machine HMI panels. The visual recognition system proposed by the present invention can be used for man-machine interface including at least any display screen, touch screen, indicator light instrument, etc., and its purpose is to assist manual automatic operation, thereby avoiding meaningless manual monitoring and guarding process. The interface of the numerical control machine tool system is proposed as a preferred embodiment of the present invention.
[0037] refer to figure 1 As shown, it is a structural block diagram of a human-machine interface visual recognition system provided by an embo...
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The invention discloses a human-computer interface visual recognition system, and the system comprises a camera module which is installed right in front of a human-computer interface display and is used for collecting a human-computer interface screen image; a microcomputer which is in communication connection with the camera module and used for preprocessing the images collected by the camera module, executing recognition classification on the images by utilizing a model and outputting a recognition result; and a cloud server which is used for providing a model for identifying and classifyingthe preprocessed images through training optimization of the deep learning model. The method greatly improves the classification and recognition precision of images, reduces the workload of workers,and better assists engineers in monitoring the working state of a human-computer interface and giving an alarm.
Description
technical field [0001] The invention relates to the technical field of deep learning, in particular to a human-machine interface visual recognition system and method. Background technique [0002] At present, although many high-end CNC machine tools provide communication interfaces, allowing external control programs to collect machine tool status information and control. However, there are still a large number of low-end and old machine tool equipment in service in my country at present, and these equipment can only be monitored by manpower. On the one hand, due to the repetitive and tedious on-duty work in the manufacturing process, such positions are gradually becoming less attractive to young people, and it is becoming more and more difficult to find suitable engineers. On the other hand, it is difficult for enterprises to afford more advanced engineering in an increasingly competitive market environment. The update cost of the CNC system. Therefore, the human-machine ...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/52G06F18/217G06F18/24G06F18/214
Inventor 郭波秦正楠卢云清李福星刘庆文许淑娴
Owner 武夷学院