Tiefenkartenbasierte Erkennung von Artikeln auf Förderbändern

Details

Veröffentlichungs-Nr.

EP4797221

Anmeldetag

11. Februar 2026

Veröffentlichung

26. August 2026

Rechtsraum

EP

IPC

G06V10/82, G06V20/64

Abstract

A system receives 2D depth-map images of an empty conveyor belt. The system generates a training set of labelled 2D depth-map images based on the 2D depth-map images. The system trains or fine-tunes a neural network using the training set to form trained parameters that cause the neural network to detect items on the conveyor belt using 2D depth-map images of the items on the conveyor belt. In an alternative embodiment, a pre-trained neural network is configured to select feature map channels generated from 2D depth-map images of items on a conveyor belt. The selected channels are resized and combined to provide relevant data for generating a segmentation mask based of the items using a binarization threshold that is automatically determined. The system may include a pretrained image segmentation model that generates at least one instance segmentation mask from the 2D depth-map images.

Anmelder

Firma

Datalogic IP Tech S.r.l.

Land

🇮🇹 Italien

Fachgebiete