Maksymilian Maślanka, Daniel Jancarczyk, Damian Pytka

This study investigates the impact of lighting conditions on the accuracy of vision inspection systems. Using Cognex cameras, tests were conducted on colorful gummy bears to evaluate the detection of both shape and color under white, red, green, and blue illumination. Results show that white light yielded the most accurate and unbiased detection, while colored lighting caused variations in detection quality, with some objects being misclassified. The study highlights the importance of lighting choice in industrial applications and suggests avenues for algorithmic improvements to enhance system performance under diverse lighting conditions. These findings contribute to optimizing vision system design and operation in automated inspection environments

Keywords: Cognex; Machine Vision; Lighting; Automated Inspection