KR-20260063185-A - MOLD MONITORING DEVICE USING AI

KR20260063185AKR 20260063185 AKR20260063185 AKR 20260063185AKR-20260063185-A

Abstract

The present invention relates to a mold monitoring system utilizing artificial intelligence to more clearly determine whether there is an abnormality in a mold, and provides a mold monitoring system utilizing artificial intelligence comprising: at least one camera for capturing an internal image of a mold opened after product molding; and a judgment unit for determining whether the mold is damaged based on the internal image of the mold opened after product molding using artificial intelligence learned from the internal image of the mold.

Inventors

최규남
김경섭
김종돌
이승오
김경한

Assignees

주식회사 한국몰드

Dates

Publication Date: 20260507
Application Date: 20241030

Claims (5)

At least one camera for capturing an internal image of the mold after the product is molded and opened; and A judgment unit that determines whether the mold is damaged based on the internal image of the mold opened after product molding, using artificial intelligence trained on the internal image of the mold; A mold monitoring system utilizing artificial intelligence, including
In Article 1, A learning unit that learns the artificial intelligence using an undamaged image of the above mold; A mold monitoring system utilizing artificial intelligence that further includes
In Article 1, The above-determined judgment unit controls the mold not to be closed when it is determined that the mold is damaged, a mold monitoring system utilizing artificial intelligence.
In Article 1, An image correction unit that sets feature points based on an absolute coordinate system on an image of the internal shape of a mold, and corrects the image so that the feature points are located at the same coordinates based on the absolute coordinate system when the feature points are moved; A mold monitoring system utilizing artificial intelligence that further includes
In Article 4, The above-mentioned judgment unit determines whether the mold is damaged based on the image corrected by the above-mentioned image correction unit, and is a mold monitoring system utilizing artificial intelligence.

Description

Mold Monitoring Device Using AI The present invention relates to a mold monitoring system utilizing artificial intelligence. Conventionally, molding devices equipped with molds have been used for molding various articles. For example, in an injection molding machine, which is a type of molding device, a thermoplastic resin is heated to soften it, filled into a mold, and then cooled to form an article of a desired shape. As for the mold, a set of molds consisting of one or more molds is used. For example, a pair of molds consisting of a fixed mold and a movable mold is used. Hereinafter, the molding process performed by filling material into the mold in this manner is referred to as a molding cycle. In such molding devices, monitoring of the mold is required in most cases. For this reason, a mold monitoring device is used. The mold monitoring device comprises a camera that photographs the inside of the mold and a judgment unit that processes the images captured by the camera to determine whether the molding status is normal or abnormal. The camera is often installed at a position that photographs the inside of the movable mold. There are broadly two reasons for monitoring the mold using a camera. One reason is to monitor the molding status while the product is held in the mold after molding. This monitoring is called primary monitoring. In primary monitoring, the shape of the product on the mold is checked, and it is determined whether it has been molded correctly. If the product has defects or if it is determined that the shape is incorrect, it results in an abnormal outcome in the primary monitoring, and the mold monitoring device outputs a primary monitoring abnormality. Although the mold is monitored by a camera, there is a problem in that it is difficult to accurately determine whether there are any abnormalities within the mold. FIG. 1 is a conceptual diagram schematically illustrating a mold monitoring system utilizing artificial intelligence according to one embodiment of the present invention. FIG. 2 is a flowchart schematically illustrating a mold monitoring system utilizing artificial intelligence according to one embodiment of the present invention. FIG. 3 is a schematic diagram illustrating an image of a mold monitoring system utilizing artificial intelligence according to one embodiment of the present invention. FIG. 4 is a flowchart schematically illustrating a mold monitoring system utilizing artificial intelligence according to one embodiment of the present invention. Hereinafter, various embodiments of the present disclosure are described in conjunction with the accompanying drawings. As various embodiments of the present disclosure are subject to various modifications and may have various forms, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the various embodiments of the present disclosure to specific forms, and all modifications and/or equivalents that fall within the spirit and scope of the various embodiments of the present disclosure It should be understood that it includes water or substitutes. In relation to the description of the drawings, similar reference numerals have been used for similar components. Expressions such as “comprising” or “may compose,” which may be used in various embodiments of the present disclosure, indicate the presence of the disclosed corresponding function, operation, or component, and do not limit one or more additional functions, operations, or components. Furthermore, in various embodiments of the present disclosure, terms such as “comprising” or “having” are intended to specify the presence of the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof. In various embodiments of the present disclosure, expressions such as “or” include any and all combinations of the words listed together. For example, “A or B” may include A, may include B, or may include both A and B. Expressions such as "first," "second," "first," or "second" used in various embodiments of the present disclosure may modify various components of the various embodiments, but do not limit such components. For example, such expressions do not limit the order and/or importance of such components. Such expressions may be used to distinguish one component from another. For example, the first user device and the second user device are both user devices and represent different user devices. For example, without departing from the scope of the various embodiments of the present disclosure, the first component may be named the second component, and similarly, the second component may be named the first component. When it is stated that a component is "connected" or "connected" to another component, it s