Company - Technology
Applications
Vision Technology - the technology of artificial vision - is found in very diverse application fields. Some of the currently most important major fields are given, each with a few of today’s examples:

Machine Vision
Print inspection, i.e. on credit cards, pharmaceutical packages, bank notes
Web inspection, i.e. for plastic foils, paper, rolled steel, glass
Metrology (precision measurement), i.e. for ball bearing balls, sealing O-rings
Robot guidance, i.e. for picking randomly oriented parts coming on a conveyor
Food inspection, i.e. sorting seeds, coffee beans, fish
Wood classification


Medical Imaging
Generation of 3D computer tomography images
Blood cell analysis


Security/Surveillance
Explosive/gun detection in luggage at airports
License plate reading
Room surveillance, i.e. detecting motion


Document Processing
Letter sorting in postal sorting centers
Reading of forms, i.e. cheques, lottery tickets, questionnaires


Automatic Identification
Reading 1D and 2D barcodes
Sorting parcels by reading barcodes or character based ID codes


This variety of applications shows that Vision Technology is by no means limited to a single market, but can simultaneously address a wide variety of different markets with industry-specific and/or application-specific features.

In some of its markets Vision Technology, especially Machine Vision Technology, is already beyond the introductory stage. This took place in the 80s in many industries (like semiconductors, electronics, beverages), and in the late 80s and early 90s in others (microscopy, optical media such as CDs, DVDs, letter sorting). As Vision Technology systems got more capable, more reliable and easier to use they gained broader acceptance, and now this technology is practical and economical for a great number of applications in many different areas.

However, this is only the beginning. Vision Technology will see an extended period of dynamic growth during which it will become an integral part of a vast number of products and applications. Some examples for future applications illustrate this:

Traffic light control, i.e. the traffic light switches in a manner similar to the way a manual operator would
Cleaning of glass facades by visually guided machines
Controlled airbag inflation, depending on the position and size of the person
Automatic harvesting machines
Collision detection for vehicles or dangerous locations, i.e. railway crossings



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