US 2026/0141681 A1Published application

Method and device for inspecting glass containers according to at least two modes with a view to classifying the containers by their glass defects

AssigneeTiama

InventorsOlivier COLLE, Julien FOUILLOUX, Sylvain GOURGEON

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Abstract

The invention relates to a method for inspecting glass containers. The method includes inspecting each container using an inspection system so as to obtain at least one analysis image according to a first modality corresponding to an absorption image and at least one analysis image according to a second modality corresponding to a birefringence image or to a refraction image. The method includes defining a list of classes including at least glass defects. The method includes ensuring a matching of at least part of the analysis images according to the first modality and according to the second modality. The method includes classifying the analysis images by means of an image classifier that determines to what result class among the list of classes they belong. The method includes classifying the container according to the result class.

Claims22

Dependent claims

A method for inspecting glass containers so as to classify a container, the method including the following steps:

inspecting each container using an inspection system including at least one light source illuminating the container and at least one camera disposed to recover the light having crossed the container, so as to acquire images of at least part of the container illuminated in transmission, so as to obtain at least one analysis image according to a first modality corresponding to an absorption image and at least one analysis image according to a second modality corresponding to a birefringence image or to a refraction image,
defining a list of classes including at least glass defects, the list of classes including a number of classes independent of the number of modalities;
ensuring a matching of at least part of an analysis image according to the first modality and at least part of an analysis image according to the second modality,
from at least one analysis image according to the first modality and at least one analysis image according to the second modality, matched together, classifying the analysis images by means of an image classifier that determines to what result class among the list of classes they belong,
the image classifier having been trained by supervised learning, on a learning set including recordings each composed of the images or image regions of the same container according to each modality, matched together and associated with a class from the list of classes, so that the trained image classifier ranks the containers according to classification characteristics according to the at least two modalities;
and
classifying the container according to the result class.

4 more elements

A device for inspecting glass containers leaving a manufacturing facility so as to classify the containers in relation to glass defects, the device including:

an inspection system including at least one light source illuminating the container and at least one camera disposed to recover the light having crossed the container, so as to acquire images of at least part of the container illuminated in transmission by the light source,
an information processing unit connected to the inspection system and adapted to provide for each container, at least one analysis image according to a first modality corresponding to an absorption image and at least one analysis image according to a second modality corresponding to a birefringence image or to a refraction image, this information processing unit being configured to carry out operations:
of taking into account a list of classes including representations of at least glass defects, the list of classes including a number of classes independent of the number of modalities;
of matching at least part of an analysis image according to the first modality and at least part of an analysis image according to the second modality,
from at least one analysis image according to the first modality and at least one analysis image according to the second modality, matched together, of classifying the analysis images by means of an image classifier that determines to what result class among the list of classes they belong,
of taking into account the image classifier having been trained by supervised learning, on a learning set including recordings each composed of the images or image regions of the same container according to each modality, matched together and associated with a class from the list of classes, so that the trained image classifier ranks the containers according to classification characteristics according to the at least two modalities;
of classifying the container according to the result class.

4 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/997,506Filed 21 Jul 2023
Priority: FR FR220755522 Jul 2022
Published: 21 May 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification12 codes

G06V 10/764
Using pattern recognition or machine learning: using classification, e.g. of video objects
G01N 21/8851
Investigating the presence of flaws or contamination: scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment,…
G01N 21/90
Investigating the presence of flaws or contamination: in a container or its contents
G01N 21/9036
In a container or its contents: using arrays of emitters or receivers

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