Method, system and equipment for detecting steel clamping and deviation of circle shear based on machine vision

The invention provides a method, a system and equipment for detecting steel clamping and deviation of a circle shear based on machine vision. The system comprises edge equipment and an image acquisition module, the edge device comprises a control module and an image recognition module; the control module is in communication connection with the image acquisition module, the control module is in communication connection with the image recognition module, the image acquisition module is in communication connection with the image recognition module, and the control module is in communication connection with the production unit; the image collecting module collects images of strip steel edge wire waste materials, and the control module gives an alarm to a production unit according to the strip steel edge wire blanking images when strip steel is in an abnormal state. The invention provides a detection scheme capable of automatically detecting two abnormal production conditions of steel clamping and deviation of the