Verfahren zum Detektieren und Lesen eines auf einem Glassubstrat Markierten Matrixcodes

Details

Veröffentlichungs-Nr.

EP3961477

Aktenzeichen

EP20315389

Anmeldetag

24. August 2020

Veröffentlichung

7. Juni 2023

Erteilung

7. Juni 2023

Rechtsraum

EP

IPC

G06K7/14

Abstract

The invention pertains to computer implemented methods for detecting and reading a barcode marked on a glass substrate. The method is able to efficiently detect a possible barcode in a raster image and extract the valuable features of the image to provide an abstract representation for the barcode which contains only the information required for its processing by decoding or converting algorithms. More precisely, the method according to the invention relies on an image processing of a raster image of a barcode through chained convolutional artificial neural networks in order to provide a versatile, highly adaptive, memory efficient, and reliable probabilistic approach to detect and read barcodes. Thanks to the probabilistic approach, it can detect and read, on a various kinds of glass substrates, tracking codes, i.e. barcodes, in various formats, i.e. varying in size, brightness, contrast and/or aspect ratio, including shear, slant or trapezoidal distortions, local defects and/or non-uniform features, from any raster image of the portion of surface of a glass substrates onto which a tracking code may be present. The method is able to recognize features of the tracking codes in images beyond image distortions, so that it adapts to various image recording conditions.

Anmelder

Firma

Saint-Gobain Glass France

Land

🇫🇷 Frankreich

Fachgebiete