A filter assembly for authenticating a filter cartridge includes a filter housing and an optical scanner mounted to the filter housing. A controller uses the optical scanner to take one or more digital images of the filter cartridge and obtain digital coded data identifying the filter cartridge. Specifically, the controller locates a functional locator on the filter cartridge, determines a location of an identifying region on the filter cartridge, reads the digital coded data by interrogating the identifying region with the optical scanner, and determines that the filter cartridge is authentic based at least in part on the digital coded data.

In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

A code symbol reading device includes an imaging unit and a control unit. The imaging unit is configured to image a code symbol to facilitate capturing image data. The control unit is configured to receive the image data captured by the imaging unit, decode data encoded in the code symbol based on the image data, operate the imaging unit under a first imaging condition for imaging the code symbol, operate the imaging unit under a second imaging condition for imaging the code symbol, and switch between the first imaging condition and the second imaging condition in response to at least one of (i) the control unit failing to decode the data encoded in the code symbol or (ii) receiving a switch command from an operator. The second imaging condition includes switching among a plurality of the mutually different imaging conditions according to a switching procedure.

An optical code reading process and a reading stability determining process are performed while suppressing an increase in the cost of a transfer system and avoiding a decrease in work efficiency. CMOS performs imaging. Processor reads an optical code contained in image data taken by CMOS and outputs a signal upon success of reading of the optical code. Further, processor calculates a first contrast at the time of teaching and a second contrast at the time of reading success, and determines reading stability based on a decrease rate of the second contrast with respect to the first contrast.

An image based code reader comprises an image sensor. The image sensor is configured to acquire an image of a code. Additionally, the image based code reader includes a lens configured to project an image scene including the code onto the image sensor, the lens comprising a variable optical power that controls a focus distance of the image based code reader. The image based code reader further includes a processor operatively coupled to the image sensor and the lens. The processor is configured to acquire the image of the code using only pixels located within a region of interest of the sensor, and a size of the region of interest is selected based on the focus distance of the reader.

An image based code reader comprises an image sensor. The image sensor is configured to acquire an image of a code. Additionally, the image based code reader includes a lens configured to project an image scene including the code onto the image sensor, the lens comprising a variable optical power that controls a focus distance of the image based code reader. The image based code reader further includes a processor operatively coupled to the image sensor and the lens. The processor is configured to acquire the image of the code using only pixels located within a region of interest of the sensor, and a size of the region of interest is selected based on the focus distance of the reader.

A barcode-reading system may include a barcode-reading enhancement accessory that is securable to a mobile device. The accessory may include an optic system that is configured to shape and filter illumination from a white light source of the mobile device to project targeting illumination onto a target surface. Calibration data may indicate a relationship between surface distance and at least one feature offset of the targeting illumination. A barcode-reading application may determine a feature offset of the targeting illumination in an image that is captured by the camera assembly of the mobile device. The application may also determine an estimated surface distance based on the calibration data and the feature offset. The application may also use the estimated surface distance to adjust at least one operating parameter of the mobile device.

An optical code reading process and a reading stability determining process are performed while suppressing an increase in the cost of a transfer system and avoiding a decrease in work efficiency. CMOS performs imaging. Processor reads an optical code contained in image data taken by CMOS and outputs a signal upon success of reading of the optical code. Further, processor calculates a first contrast at the time of teaching and a second contrast at the time of reading success, and determines reading stability based on a decrease rate of the second contrast with respect to the first contrast.

In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

This application discloses a digital object unique identifier (DOI) recognition method and device. The method comprises: obtaining a code scanning image; graying the code scanning image to obtain a grayscale value of each pixel in the code scanning image; determining a DOI image in the code scanning image according to the grayscale value of each pixel in the code scanning image; and recognizing the DOI image.