The demand for machine vision has grown exponentially as manufacturing facilities turn to automated quality control solutions to remain competitive in fast-paced markets with decreasing tolerance for error. In fact, the rise of machine vision is directly correlated with the increase in automation and robotic use in factories.
While machine vision is critical to the future of automated quality control, it is not without its challenges. Vision applications are complex, and ambient conditions can reduce vision system reliability unless appropriate steps are taken to reduce their impact.