Machine vision: Greater scalability, innovative smart cameras
Manufacturers of vision system technologies are finding it extremely challenging to keep pace with semiconductor industry developments, according to Frost & Sullivan ; component miniaturization creates the need for higher-throughput vision systems with superior accuracy. “Commensurate advancements in lighting and illumination, lasers, lighting, processors, sensors, and optics have to complement machine vision systems,” says Frost & Sullivan research analyst Vishnu Sivadevan. “Developers face the challenge of reducing set-up time and also incorporating greater enhanced functionality, scalability, and upgradeability.” Pay special attention to time and costs for set up time and installation, he says; user-friendly features, robust integration capabilities, and reduction of operator training time will drive investments in machine vision systems.
Advanced automation standards also require flexible machine-vision systems that are scalable across multiple products and production lines. This has stimulated compact, more user-friendly vision systems and smart cameras with built-in image sensors and processors, says Sivadevan. While smart cameras are replacing PC-based vision systems, the application determines choice of architecture. Process optimization is a key driver. Laser-based measurements, 3-D imaging, robotic guidance, and smart-sensor vision chips are among developing technologies responding to application needs. For more, see the related technical insight paper from Frost & Sullivan, an international growth consultancy.
For a recent machine vision article from Control Engineering, see “ High Horsepower Vision Sensors. ”
—Mark T. Hoske, editor-in-chief, Control Engineering,