The future of industrial production

Imaging

The future of manufacturing will be geared to achieving the maximum benefit with the lowest possible use of materials and energy. The strictest quality specifications have long since become a matter of fact, with samples being subjected to 100% inspection. The production steps are fully documented and can be clearly traced.

All this is possible thanks to imaging. Image processing systems check the quality in the production cycle and thus avoid expensive recalls, product liability cases or even image damage. Due to the constantly intensifying global competition, sites can only remain viable if they clearly stand out from the competition in terms of productivity and costs.

As a specialist with core competence in the field of digital video surveillance, it is a logical step to strengthen our expertise in the area of imaging processes. By exploiting synergies in the field of imaging and IP video surveillance, VTIS wants to actively contribute to noticeably improving the quality of industrial productions.

Imaging

Imaging is used nowadays in almost all areas of life

Reconstruction

destroyed documents and papers

Recognition

E.g. from faked paintings

3D analysis

of house roofs for solar systems

Virtual fence

When the virtual fence is exceeded, the system sounds an alarm.

Environmental protection

through improved waste separation for more economical recycling

Marketing

Market research (e.g. determine dwell time in front of shelves)

Visualization

Interactive product presentations in retail (see also Digital Signage)

Measurement

3D measurement of faces for the optimal selection of glasses at the optician

Making the visible measurable

Key technology imaging

The non-contact measurement of components by means of imaging offers a great advantage: The measurement is carried out extremely quickly in the production cycle. Every workpiece is inspected without reducing production speed. Optimize your material flow and logistics through reliable identification by means of imaging.

  • Check quality
  • Guiding machines
  • Control processes
  • Identify components
  • Read codes
  • Optimize production