ams OSRAM optical solutions for machine vision enable machines to see the world precisely. Machine vision encompasses a wide range of applications. One example is automatic optical inspection for quality control: The combination of right fit resolution, frame per second image sampling speed, global or rolling shutter technology as well as matching scene illumination are essential for achieving the desired image quality. ams OSRAM offers several product families addressing today’s need for various machine-vision applications and use cases.
A more recent application is the vision of the environment for ever more independent mobile or stationary robots. This equipment benefits from accurate 2D, and ideally 3D visualizations of the environment and object to be worked with. Near infrared illumination, both with flood- and high-contrast dot illuminators, combined with sensitive NIR image sensors enables compact, cost effective, and high-performance 3D systems immune to uncontrolled illumination conditions.
ams OSRAM is a leader for VCSEL-based illuminators and high quantum efficiency NIR image sensors and has one of the broadest portfolios of image sensors, lasers, LEDs, and complementary optical solutions across spectrum, packages and power classes. As a one-stop shop offering all component expertise for camera sensing system in house, we can provide a single point of contact with full expert-level competence on all optical aspects of machine vision systems. Our partner eco-system and easy-to-deploy design kits speed our customers’ designs to market.
ams OSRAM offers imager solutions across different resolutions, speed-, and integration levels as well as form factors. This enables a ’right-fit’ offering for any targeted application, ranging from automation solutions to high-end quality inspection and end of line checking. Our differentiated image sensor and illumination offering allows customers to tailor their machine vision solution exactly to the requirements of the underlying application and the data constraints of the advancing machine learning algorithms behind those systems.