Cognex Corporation

Drãgerwerk Ag & Co, Kgaa

Xianju Wang

Xiangyun Ye

James A Negro

Steven G Webster

Robb Robles

Zhe Zhang

David Vekony

Jozsef Borovszki

Systems and methods for reading a two-dimensional matrix symbol or for determining if a two-dimensional matrix symbol is decodable are disclosed. The systems and methods can include a data reading algorithm that receives an image, locates at least a portion of the data modules within the image without using a fixed pattern, fits a model of the module positions from the image, extrapolates the model resulting in predicted module positions, determines module values from the image at the predicted module positions, and extracts a binary matrix from the module values.

Systems and methods for decoding two-dimensional matrix symbols with incomplete or absent fixed patterns

Systems and methods for decoding two-dimensional matrix symbols

Systems and methods are described for acquiring and decoding a plurality of images. First images are acquired and then processed to attempt to decode a symbol. Contributions of the first images to the decoding attempt are identified. An updated acquisition-settings order is determined based at least partly upon the contributions of the first images to the decoding attempt. Second images are acquired or processed based at least partly upon the updated acquisition-settings order.

Systems and methods for sorting image acquisition settings for pattern stitching and decoding using multiple captured images

Systems and methods read machine readable symbols, the systems and methods capture multiple images of the symbol and can locate symbol data region(s) from an image even when the symbol data is corrupted and not decodable. Binary matrices are generated of the symbol data regions obtained from the multiple images and can be accumulated to generate a decodable image. A correspondence can be established among multiple images acquired on the same symbol when the symbol has moved from one image to the next.

Systems and methods for pattern stitching and decoding using multiple captured images

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Bedford, MA, United States of America

Xianju Wang