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Continuous product inspection with Machine Vision

Continuous product inspection and production anomaly detection

webCHECK is the Machine Vision system specifically designed and manufactured to perform 100% product control and inspection for the following materials: glass, paper, fabric, plastic film and laminates. A solution designed to guarantee effective inspection of continuous products and correct detection of production anomalies, e.g. holes, tears, stains, lumps, foreign materials.


Highly intuitive and interactive graphical interface adaptable to specific needs;
100% in-line product control;
Adaptive classification of defects;
Real-time detection and reporting of defects through hardware and/or software actions;
Advanced reporting;

How continuous product inspection with webCHECK works

For the control of continuously moving products, the most common imaging technology uses acquisition with linear cameras, often referred to as 'scanners'. These cameras have sensing elements arranged in a single direction and realise the complete image using the movement of the product to be inspected. The one-dimensional sensor geometry allows a  very high resolution, both in the transversal direction to the motion (the direction of the sensor pixels themselves) and longitudinally of the motion (due to the high acquisition speed attainable).


The positioning of the control area, a narrow strip perpendicular to the motion of the product, makes it possible to realise constant lighting with ease, using linear lamps.

This makes it relatively easy to obtain uniform illumination, as compared to a matrix acquisition that requires illumination over a two-dimensional area. Again, images of the product to be inspected can be obtained by transmission or reflection detection.

Detection of production anomalies with information analysis

The images captured are processed to extract features related to the inspection and arrive at a fully automatic assessment. Processing takes place continuously, with the stages running perfectly in parallel and with dynamic algorithms, which is why the distinction of the various stages only has the logical meaning of separating the functions, not of executing them at successive points in time.

The first stage of analysis is to recognise and separate defects in the product. Defects are always highlighted as a local variation of the image from the normal background of the product, usually as lighter or darker 'spots'. To consider an anomaly as a defect, a number of characteristics are assessed.

For each of these characteristics, limit criteria of acceptability can be defined, below which the product is still considered good.

The next stage of analysis consists in the classification of the defects found, in order to obtain an automatic and unambiguous assessment of product quality. Defects are first of all divided into categories in order to better represent the testing requirements.

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