Study of a Robust Algorithm Applied in the Optimal Position Tuning for the Camera Lens in Automated Visual Inspection Systems

TL;DR

This paper introduces a robust algorithm for optimal camera lens positioning in automated visual inspection, based on maximizing image resolution through gradient evaluation, with experimental validation and practical guidelines.

Contribution

It presents a novel algorithm for optimal camera lens positioning using resolution function evaluation, supported by experimental results and practical application rules.

Findings

The algorithm effectively finds the optimal lens position.

Experimental results validate the algorithm's accuracy.

Practical rules improve application consistency.

Abstract

This paper present the mathematical fundaments and experimental study of an algorithm used to find the optimal position for the camera lens to obtain a maximum of details. This information can be further applied to a appropriate system to automatically correct this position. The algorithm is based on the evaluation of a so called resolution function who calculates the maximum of gradient in a certain zone of the image. The paper also presents alternative forms of the function, results of measurements and set up a set of practical rules for the right application of the algorithm.