Label Verification Simplifies Machine Vision

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

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

iLabel is claimed to rapidly check 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, said Firstsight Vision.

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

The system has been designed for easy set-up and installation, whist being powerful enough to be used across a range of packaging applications, added the company.

The 'intuitive' interface is customised 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, said Firstsight Vision.

The company added that iLabel uses a proprietary technology that automatically learns acceptable labels from seeing 'good' samples.

Its neural net learns what the label looks like, so the system is 'trained' 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 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, added Firstsight Vision and the information can be reviewed to help identify production line problems.

Back to top