We specialize in the development of non-standard and complex optical quality inspection (machine vision) applications.

We supply systems for the most demanding industries and focus on the development and installation of complex systems. In doing so, we harness the power of machine vision and deep learning and we train neural networks.

Identification of defects and anomalies

Detecting manufacturing defects and burrs is one of the most common problems for which machine vision is used. It is possible to detect dents, abrasions, fingerprints, damaged edges, manufacturing burrs or the unwanted presence of foreign objects.

Output inspection of dimensions and shapes

Measure product dimensions reliably even at several locations in same time and compare them with the prescribed value. Parts that do not meet the parameters are marked and discarded.

Colour detection

Colour identification and check is a frequent task for machine vision. With the help of industrial colour cameras supplemented with software, the saturation, tint and, for example, the integrity of the paint can be checked.

Product grading

Camera systems can read and verify the quality of products, alert machine operators to errors or, with simple automation, can automatically eliminate non-compliant products from production.

Read characters, text and QR or bar codes

Reading and verifying bar and matrix identification codes enables safe continuous tracking of parts and products during processing to delivery to the end customer.

Robot guidance

Reducing cycle times in production by collecting extensive data from multiple sensors and cameras, which are continuously analysed and stored, leads to more efficient operation of industrial robots and brings significant savings.

Production monitoring (Traceability)

Software tools for monitoring production data and machines are used to evaluate weaknesses in the production process and also to store data over time for possible traceability.

Finished solutions

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