Firstsight introduces label verification system

Firstsight Vision has announced the availability of iLabel, a completely pre-packaged label verification system from ipd, designed to simplify the use of machine vision in industrial applications.

iLabel rapidly checks the placement and quality of labels on bottles, boxes, cans and other rigid, packaged goods.

It checks that the proper label is on the package, that the label is correctly positioned and that the placement angle is within set limits.

It then checks for flags, tears and missing parts of the label as well as for gross defects such as smears, contamination and splatters.

iLabel also includes capabilities to read product barcodes and determine relative label position.

iLabel can inspect labels from 1" to over 10" in size and is capable of up to 300 label inspections per minute.

It has been designed for easy setup and installation, while being powerful enough to be used across a range of packaging applications.

The intuitive, user- friendly interface is customized for labeling applications and designed to be used by someone familiar with a packaging line but not necessarily with machine vision.

It allows the initiation and creation of label inspections for any particular product range in a matter of minutes.

iLabel uses a proprietary technology that automatically learns acceptable labels from seeing "good" samples.

Its neural net quickly learns what the label looks like, so the system is "trained" simply by showing it good labels.

There is no laborious set up of detailed inspection parameters such as text location.

Acceptable variations in the manufacturing process or environment are easily captured using the same "show and learn" technique.

The resulting model is used during inspection to determine if a label is within the specification that the system has learned.

iLabel records the images of recently passed and failed labels as well as statistics on all labels.

This information can be readily reviewed to help identify production line problems.

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