Scandit Ag

Christian Floerkemeier

Bernd Schoner

Matthias Bloch

Marco Valentino Biasini

Maiya Shur

Thomas Wesner

Fabian Nater

Vitali Samurov

Daniel Scherly

Iciar Martinez

Andrea Tullis

Joan Domènech

Ugur Kart

Suren Vagharshakyan

Kimmo Roimela

Matthias André Eppler

Christian Lehmann

Matthias Andre Eppler

Image analysis is used to provide label verification. An image of a label within a scene is acquired. The label includes a barcode and characters. The barcode on the label is decoded to receive an identity of an object. Optical character recognition is performed to recognize the characters on the label. Recognized characters are compared to information about decoded barcode to verify the label is correct.

Label verification using image analysis

Scanning for optical patterns in a real scene using one or more images of the real scene acquired by a camera can sometimes miscount a number of optical patterns in the scene. An interface is provided to allow a user to adjust a count of the number of optical patterns.

Multi-barcode detection in a real scene using interface enhancement based on user input

Selection of on optical pattern in a scene is identified by overlaying, on a display, an indicator of a detected optical pattern identifying a location of the optical pattern in one or more images, receiving a user input on the display at a position that does not overlap the location of the optical pattern, and presenting information related to the optical pattern, based on receiving the user input, even though the position of user input did not overlap the location of the optical pattern. The user input can be received at a detached selection indicator and/or using an adaptive input area.

Adaptive selection area for image-based decoding of optical patterns

Selection and decoding of an optical pattern in a real scene from a frozen image of a video preview includes presenting a plurality of images on a display. A plurality of optical patterns are in the plurality of images. The display is frozen by one image, a frozen image, on the display. An optical pattern is identified by a user selecting the optical pattern in the frozen image. The optical pattern is decoded.

Selection and decoding of an optical pattern within a real scene using a frozen image from a video preview

Image analysis is used to map objects in an arrangement. For example, images of a retail shelf are used to map items for sale on the retail shelf A first vector can used to identify a relative position of a first item on a shelf to a shelving diagram, and a second vector can be used to identify a relative position of a second on the shelf to the shelving diagram, using locations of optical codes (e.g., barcodes). Absolute positions can be calculated. In some configurations, multiple images having different fields of view are matched to an overview image.

Image analysis for mapping objects in an arrangement

Depth information from a depth sensor, such as a LiDAR system, is used to correct perspective distortion for decoding an optical pattern in a first image acquired by a camera. Image data from the first image is spatially correlated with the depth information. The depth information is used to identify a surface in the scene and to distort the first image to generate a second image, such that the surface in the second image is parallel to an image plane of the second image. The second image is then analyzed to decode an optical pattern on the surface identified in the scene.

Perspective distortion correction of discrete optical patterns in images using depth sensing

A digital camera in a mobile device, such as in a smart phone, can be used for super-fast scanning of optical codes.

High-speed scanning of optical patterns with a torch for an aimer

For scanning optical patterns, such as two-dimensional QR codes, with a mobile device at increased distances, a first image is acquired. A region of interest likely containing the optical pattern in the first image is identified. The mobile device then zooms in on the region of interest and a second image is acquired. The optical pattern is then decoded using the second image.

Optical data exchange while preserving social distancing

A method of image analysis is provided for recognition of a pattern in an image. The method includes receiving a plurality of images acquired by a camera, where the plurality of images include a plurality of optical patterns in an arrangement. The method also includes matching the arrangement to a pattern template, wherein the pattern template is a predefined arrangement of optical patterns. The method also includes identifying an optical pattern of the plurality of optical patterns as a selected optical pattern based on a position of the selected optical pattern in the arrangement. The method also includes decoding the selected optical pattern to generate an object identifier and storing the object identifier in a memory device.

Recognition and indication of discrete patterns within a scene or image

Described herein are embodiments of a mobile device case that allows a mobile device camera to view and/or capture images from multiple fields of view. The case may allow the mobile device camera to simultaneously capture image information from multiple different directions relative to the camera or mobile device. The fields of view may not be contiguous fields of view, such that there is a gap or other discontinuity between the fields of view. One field of view may be a field visible from or facing a surface of the mobile device on which the camera is disposed (e.g., the back of the mobile device) and another field of view may be one visible from or facing a different surface of the mobile device. Also described are embodiments of techniques for configuring a mobile device to capture and/or process images from multiple fields of view.

Mobile device case and techniques for multi-view imaging

A memory device is provided including instructions that, when executed, cause one or more processors to perform the steps including receiving a plurality of images acquired by a camera, the plurality of images including a plurality of optical patterns, wherein an optical pattern of the plurality of optical patterns encodes an object identifier. The steps include presenting the plurality of images comprising the plurality of optical patterns on a display, and presenting a plurality of visual indications overlying the plurality of optical patterns in the plurality of images. The steps also include identifying a selected optical pattern of the plurality of optical patterns based on a user action and a position of the selected optical pattern in one or more of the plurality of images. The steps also include decoding the selected optical pattern to generate the object identifier and storing the object identifier in a second memory device.

Recognition and selection of a discrete pattern within a scene containing multiple patterns

Images of optical codes are mapped to an overview image to localize optical codes within a space. By localizing optical codes, information about locations of various products can be ascertained. One or more techniques can be used to map the images of optical codes to the overview image. The overview image can be a composite image formed by stitching together several images.

Mapping optical-code images to an overview image

Image data from a camera and depth information from a depth sensor, such as a LiDAR system, are used to segment an image for decoding an optical pattern. The image data is spatially correlated with the depth information. The depth information is used to partition the image into one or more foreground segments and one or more background segments. Scanning for the optical pattern is performed on the one or more foreground segments.

Growing community of inventors

Zurich, Switzerland

Christian Floerkemeier