Cognex Corporation

Earle Stokes

James A Negro

William M Silver

Ivan A Bachelder

Xiangyun Ye

Fenghua Jin

Methods and systems for auto-tuning a handheld scanning device that can account for changes in the orientation between the handheld scanning device and a presented symbol can include capturing a first image containing a presented symbol, recording an orientation parameter and parameters associated with capturing the first image containing the presented symbol, capturing a subsequent image containing the presented symbol, recording an orientation parameter of the presented symbol contained in the subsequent image, comparing the orientation parameter of the symbol contained in the subsequent images to the orientation parameter of the presented symbol contained in the subsequent image, determining if the orientation parameter of the presented symbol contained in the subsequent images is substantially similar to the orientation parameter of the symbol contained in the first image, and recording parameters associated with capturing the subsequent images containing the presented symbol.

Tuning process for a handheld scanner

This invention provides a system and method for auto-regulation of parameters a vision system camera and/or associated illumination of objects imaged by the camera using a plurality of differentiated gain (multi-gain) settings on the camera's image sensor to determine the gain value producing the most-readable image. The image (having the best characteristics) acquired using multiple gain settings can be read for information as a discrete gain image and/or the camera parameters (e.g. global gain and/or global exposure time) can be uniformly set across the pixel array to the best values for acquisition of a subsequent, higher sampled image. This image is then read (e.g. decoded) for information contained within any identified features of interest (e.g. found IDs).

System and method for determination and adjustment of camera parameters using multi-gain images

This invention provides a system and method for finding features in images that exhibit saddle point-like structures using relatively computationally low-intensive processes, illustratively consisting of an anti-correlation process, and associated anti-correlation kernel, which operates upon a plurality of pixel neighborhoods within the image. This process enables an entire image to be quickly analyzed for any features that exhibit such saddle point-like structures by determining whether the anti-correlation kernel generates a weak or strong response in various positions within the image. The anti-correlation kernel is designed to generate a strong response regardless of the orientation of a saddle point-like structure. The anti-correlation process examines a plurality of pixel neighborhoods in the image, thereby locating any saddle point-like structures regardless of orientation, as it is angle-independent. The structures are then grouped and refined (for example in a grid) in an effort to locate and decode ID topologies within the image.

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Westford, MA, United States of America

Earle Stokes