Systems and methods to optimize imaging settings for a machine vision job

Abstract

Methods and systems for optimizing one or more imaging settings for a machine vision job are disclosed herein. An example method includes detecting, by one or more processors, an initiation trigger that initiates the machine vision job. The example method further includes, responsive to detecting the initiation trigger, capturing, by an imaging device, a first image of a target object in accordance with a first configuration of the one or more imaging settings. The example method further includes, responsive to capturing the first image of the target object, automatically adjusting, by the one or more processors, the one or more imaging settings to a second configuration that includes at least one different imaging setting from the first configuration; and capturing, by the imaging device, a second image of the target object in accordance with the second configuration of the one or more imaging settings.

Description

Background technique [0001] Ever since machine vision systems were introduced to industrial settings, developers have attempted to reduce their relative cost and space requirements. These systems are capable of performing machine vision jobs to provide high-fidelity image analysis at the expense of capturing images at finely tuned imaging settings (e.g., exposure length). However, these machine vision jobs also typically require the machine vision system to cycle through multiple sets of imaging setups to capture multiple images with, for example, different depths of field. Therefore, multiple cameras and additional external lights are required in many routine situations to ensure that the machine vision system is able to capture suitable images for each group of imaging setups in the imaging setup to provide the intended image analysis. [0002] Unfortunately, each additional piece of equipment can be very expensive, can further complicate installation, and can delay machine...

AI Technical Summary

Problems solved by technology

Every additional part also needs to be integrated into the machine vision system, which can easily cost twice the purchase price

Additionally, each additional component purchased and installed in a machine vision system can take up valuable physical space, creating unnecessary or dangerous congestion in industrial settings

In addition, the imaging settings of conventional systems often require adjustments to additional components as the conventional system performs the job, causing significant delays in completing the job with the conventional system

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