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Vision systems are no longer a “nice-to-have” add-on. They’ve become a critical feature, often determining whether a technical solution is even feasible in the first place.
The tenfold increase in the number of vision applications illustrates just how fast the field of machine vision is evolving across the entire industry. Our projects reflected this trend in multiple sectors. In the automotive industry, we use cameras for part positioning, quality verification, and advanced bin picking. We were also among the first in the country to implement a new generation of 3D scanners for advanced pin inspection in electronics manufacturing.
This rapid growth has not come without challenges. Despite many successful implementations, we also encountered setbacks. In one project, for example, we misdesigned the camera lighting or selected incorrect polarizing filters—mistakes that only became apparent during commissioning, causing significant difficulties for the whole team.
These kinds of issues have taught us one important thing: having in-house vision know-how is essential, right from the initial concept stage of the machine design.
Historically, the vision team has been something of an underdog, compared to PLC programmers, robotics engineers, or database specialists. But that’s changing fast. In Q4 of 2024 alone, we commissioned 24 vision applications in parallel and this expertise is now setting direction and shifting dynamics across the entire automation industry.
Building a strong machine vision team is one of our top priorities. And it’s not just about the hardware. Vision systems need people who truly understand them.