Machine vision camera systems are more prevalent than ever today as we rely more on automation and robotics to improve efficiency, safety, and performance. These systems enable machines to perceive and analyze their surroundings, using sophisticated cameras, sensors, and processing systems to detect and interpret objects within their field of view.
Machine vision systems are critical to numerous applications, including manufacturing, robotics, logistics, automated driving, and virtual reality. Because they are vital to our advancing society, these machine vision systems must be thoroughly tested during development to ensure high performance and safety.
At Image Engineering, we have been closely involved in advancing these systems by developing testing solutions that engineers use to assess image quality. Our solutions always closely follow international standards, such as EMVA 1288. The standard defines the key factors and test methods for machine vision image quality, including sensitivity, noise, linearity, dark current, and spatial nonuniformity.
EMVA 1288 is currently being adapted to ISO 24942. Our own Dietmar Wueller is leading this changeover.
