Beyond the Camera: Solving Quality Issues in Machine Vision
: This blog post is part of a four-part series that includes: Intro, Part 1, Part 2, and Part 3.
Authors
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Sebastian Bollhorst: General Manager at The Imaging Source Taiwan Branch Office. He earned his B.S. in International Business and Economics from the University of North Carolina at Charlotte, USA.
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TIS Marketing: Senior System Specialist at The Imaging Source Europe GmbH. His background includes an M.S. in Electrical Engineering from the University of Bremen, Germany, and a B.S. in Electrical Engineering from Beijing University of Aeronautics and Astronautics, China.
Introduction
Machine vision system components include illumination, optics, camera, computer, and software. The image is primarily created by illumination. The CCD chip converts light photons into an electrical signal, which the camera electronics then digitize to form a “Raw digital image.” This raw data is used for visualization or automated image analysis—tasks performed by the software running on the computer.
However, reliable automation requires controlled lighting and simple objects. Lighting has a significant impact on the final image quality during visualization as well.
Last Updated: 2025-09-05 02:19:28