Press machine and image monitoring method for press machine

The press machine and monitoring method extract monitoring target images using machine learning, addressing controller-dependent monitoring issues by efficiently detecting production defects and reducing processing load.

JP2026035749APending Publication Date: 2026-03-04AIDA ENGINEERING LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-12-01
Publication Date
2026-03-04

AI Technical Summary

Technical Problem

Existing press machine monitoring systems rely on controller information and imaging devices, which are prone to disturbances and do not effectively utilize captured images for monitoring.

Method used

A press machine and image monitoring method that extracts monitoring target images from still images based on the workpiece's state, using machine learning to compare and display similarities, allowing image monitoring without controller information.

Benefits of technology

Enables efficient image monitoring by extracting images of the same timing in each cycle, reducing processing load and detecting issues like misfeeds, cracks, and die conditions without additional sensors, facilitating retrofitting and die maintenance.

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Abstract

To provide a press machine or the like capable of performing image monitoring only with image data.SOLUTION: The press machine includes a storage unit that stores moving image data captured by an imaging unit disposed at a position where a press die area can be imaged, an image extraction unit that extracts a monitoring target image from a still image group constituting the moving image data with reference to a position of a slide or a state of a workpiece material in an image, and an image monitoring unit that performs image monitoring based on the monitoring target image and outputs a monitoring result.SELECTED DRAWING: Figure 1
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Citation Information

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