Automated Surface Inspection

Fabric inspection methods

Monday 12th November, 2018

The aim of Shelton’s machine vision systems is to get the most yield from each batch and help eliminate customer complaints.

You can achieve this by adopting Shelton’s WebSPECTOR system, which incorporates a suite of fabric inspection methods and applications.

1. Defect inspection and classification

An electronic map of the defects is produced in a virtual form. Data is recorded to help and inform future decisions and highlight any consistent errors within the fabric.

Real-time defect classification and grading is used to highlight errors and the severity of the faults, in line with your specific requirements and business objectives.

2. Defect map and cutting plan

Defect images are classified, graded and grouped under usernames so that they are easily identifiable.

This enables the system to identify serious and non-serious faults in real-time.

A person would then make the final decision and sign off on the cutting plan produced by the machine vision system.

3. A virtual cutting plan is created

Shelton’s WebOptimiser creates a virtual cutting plan which will produce the most yield from each batch.

The vision system is also sophisticated enough to adjust to your specific needs, for example producing a cutting plan which has the lowest defect rate.

4. Cost savings through an optimised cutting plan

At this point, the cutting plan is made a reality and the real return on investment (ROI) can be felt from each batch.

Remember, for every fraction of a percent the yield is improved means the same fraction of a percent of turnover added to the bottom line.

Increase your yield and profits

To learn more about how our fabric inspection methods can increase your yield call Shelton Vision today on 0116 279 0920. All enquiries will be treated with the utmost confidence. Alternatively, complete our contact form.

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