A focusing device for an optical system that has a carrier and an objective arranged thereat comprises a first guide section that is configured for fastening to the carrier or is designed in one piece therewith, a second guide section that forms a holder for the objective, at least one spring element that forms an elastic connection of the first guide section to the second guide section, and an actuator for adjusting the second guide section in and against an adjustment direction with respect to the first guide section, wherein the spring element is areal at least regionally. The spring element has at has one stiffening zone in which a first surface section of the spring element is bent over along a bending edge with respect to a second surface section of the spring element.

A computer can comprise a housing, a microprocessor disposed within the housing, a display, and a communication interface communicatively coupled to the microprocessor. The computer can be configured, responsive to locating decodable indicia within content viewable on the display, to decode the decodable indicia to produce at least one decoded message. The computer can be further configured to display the content with decoded message data being embedded into the content. The decoded message data can be provided by at least one decoded message, data derived from the decoded message.

A method of optimizing a pick list using image data from a barcode scanner. An example method includes comparing a reference background image captured by a scanner to an image of a produce item to be purchased, calculating attributes from the image, comparing the calculated attributes to reference produce attributes in a produce database, selecting reference produce attributes associated with reference produce items that are closest to the calculated attributes as the top candidates in the pick list.

The invention features an image reader and a corresponding method for capturing a sharp distortion free image of a target, such as a one or two-dimensional bar code. In one embodiment, the image reader comprises a two-dimensional CMOS based image sensor array, a timing module, an illumination module, and a control module. The time during which the target is illuminated is referred to as the illumination period. The capture of the image by the image sensor array is driven by the timing module that, in one embodiment, is able to simultaneously expose substantially all of the pixels in the array. The time during which the pixels are collectively activated to photo-convert incident light into charge defines the exposure period for the sensor array. In one embodiment, at least a portion of the exposure period occurs during the illumination period.

The invention features an image reader and a corresponding method for capturing a sharp distortion free image of a target, such as a one or two-dimensional bar code. In one embodiment, the image reader comprises a two-dimensional CMOS based image sensor array, a timing module, an illumination module, and a control module. The time during which the target is illuminated is referred to as the illumination period. The capture of the image by the image sensor array is driven by the timing module that, in one embodiment, is able to simultaneously expose substantially all of the pixels in the array. The time during which the pixels are collectively activated to photo-convert incident light into charge defines the exposure period for the sensor array. In one embodiment, at least a portion of the exposure period occurs during the illumination period.

A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Implementations of the present application provide a QR code positioning method and apparatus. Based on a predetermined pixel detection rule, centers of candidate position detection patterns in the QR code image are determined from a QR code image that includes first-type pixels and second-type pixels. The predetermined pixel detection rule includes that a consecutive arrangement ratio of the first-type pixels, the second-type pixels, and the first-type pixels satisfies a predetermined ratio. The candidate position detection patterns are identified based on the centers of the candidate position detection patterns. A set of patterns that satisfies a QR code image positioning rule are determined from the candidate position detection patterns. The set of patterns are used as position detection patterns of the QR code image.

A power receiver apparatus receives a code-modulated wave from a power transmitter apparatus via a transmission path, the code-modulated wave including first power modulated by code modulation using a modulation code based on a code sequence. The power receiver apparatus is provided with a contactless connector and a code demodulator. The contactless connector is coupled to the transmission path without electrical contact with the transmission path, and receives the code-modulated wave from the power transmitter apparatus via the transmission path. The code demodulator demodulates the received code-modulated wave to generate second power by code demodulation using a demodulation code based on a code sequence identical to the code sequence of the modulation code used for the code modulation.

A product manufacturing method includes acquiring a random pattern in one region on a surface of a first member by capturing an image of the first member; acquiring identification information, based on which a second member is individually identifiable, from the second member, the second member being combined with the first member to constitute a product; storing the acquired random pattern and the acquired identification information in association with each other; and forming the product by combining the first member and the second member.

A method of decoding spatially related indicia includes: at an imaging controller, controlling an image sensor to capture an image containing a plurality of indicia; at the imaging controller, detecting image positions of each of the indicia; at the imaging controller, for each of a plurality of indicia pairs: determining whether the image positions of the indicia in the pair have a predefined spatial relationship; and responsive to determining that the indicia in the pair have the predefined spatial relationship, presenting (i) values decoded from the indicia in the pair, and (ii) an indicator that the decoded values are related.