Automatic Focus Tuning for Fixed Machine Vision Systems
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Solution Overview
Problem
Manual focus tuning in barcode readers is slow, cumbersome, and prone to errors due to subjective evaluation, requiring users to observe and adjust images in real-time, which is inconvenient and inefficient for various barcode scanning systems.
Innovation Solution
A focus tuning imaging system using a tunable optical element controlled by a processor that captures multiple images at different focuses, identifies a reference element, determines the optimal focus, and stores the reference focus for automatic focus adjustment, eliminating the need for manual tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual focus tuning is performed by observing images and physically adjusting focus in real-time, then focus calibration can be achieved, but the process becomes slow and cumbersome
Solution Approach 1:
The system performs automatic focus tuning by capturing images at different focal distances and using image processing algorithms to determine optimal focus without human intervention. The processor automatically analyzes image sharpness metrics and adjusts focus settings, eliminating the need for manual observation and adjustment by operators.
Solution Approach 2:
The patent replaces manual mechanical focus adjustment with an automated electronic system. Instead of physically turning focus knobs while observing images, the system uses a processor to control focus mechanisms based on automated image analysis, substituting human mechanical operations with electronic control and algorithmic decision-making.
2Measurement precision
If manual focus tuning is performed by subjective evaluation of image sharpness, then focus can be adjusted, but errors are introduced due to human subjectivity
Solution Approach 1:
The system implements automated feedback loops where image quality metrics are continuously measured and used to adjust focus settings. The processor calculates objective sharpness measurements from captured images and uses this feedback to determine optimal focus, replacing subjective human judgment with quantifiable, repeatable measurements.
Solution Approach 2:
The patent transforms the subjective parameter of image sharpness into objective, measurable parameters through image processing algorithms. By converting visual assessment into quantifiable metrics such as edge detection scores or frequency domain measurements, the system enables reliable, error-free focus determination based on numerical data rather than human perception.
3Measurement precision
If manual focus tuning requires the user to simultaneously observe images and physically adjust focus, then focus calibration is possible, but operation becomes inconvenient
Solution Approach 1:
The system performs focus tuning autonomously without requiring user presence or interaction during the adjustment process. The processor automatically captures images, analyzes focus quality, and adjusts settings independently, freeing operators from the inconvenient task of simultaneously monitoring images and manipulating focus controls.
Solution Approach 2:
The system performs focus calibration as a preliminary automated setup step before actual barcode scanning operations begin. By completing focus adjustment automatically in advance, the system eliminates the need for operators to perform manual focus tuning during normal operation, improving both convenience and operational efficiency.
Data Source
AI summary
A system and methods for performing focus tuning of an imaging system. The method includes an image sensor obtaining a plurality of images, with each image obtained at a different focus of a tunable optical element. A processor identifying a reference element in at least one of the images of the plurality of images. The processor then determines a reference image that includes the reference element and identifies a reference focus of the tunable optical element. The processor then stores the identified reference focus in a memory.