Scandit Ag

Marco Valentino Biasini

Vitali Samurov

Christian Floerkemeier

Iciar Martinez

Daniel Scherly

Thomas Wesner

Bernd Schoner

Nurie Jeong

Julien Silva

Raffaele Farinaro

Yeara Kozlov

Maiya Shur

Simon Wenner

Moritz Hartmeier

Geoffrey Quested-Jones

To decode an optical pattern in a real scene, an optical pattern is detected in one or more images acquired by a camera, a distance from the optical pattern to the camera is estimated, the distance from the optical pattern to the camera is compared to a threshold value, acquiring an image of the optical pattern, down sampling the image, based on the distance from the optical pattern to the camera being less than the threshold value, to generate a down-sampled image, and the optical pattern is decoded in the down-sampled image.

Image analysis for scanning optical patterns in a real scene at dynamic ranges

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

Prior to capturing images, a camera is turned on and a first image depicting a first optical pattern is captured and a first optical pattern is decoded within the first image. The camera is switched to a first mode corresponding to a first power consumption level. It is ascertained whether the camera has been in the first mode for a first period of time and, if so, the camera is switched to a second mode corresponding to a second power consumption level that is less than the first power consumption level. A code scanning request is detected while the camera is in the second mode and, in response to detecting that the code scanning request has been received while the camera is in the second mode, a second image depicting a second optical pattern is captured with the camera.

Camera start optimization for optical pattern decoding

An image of a scene is acquired by a camera of a mobile device. Hardware information is used to identify a higher-performance core and lower-performance core of a multi-core processor. An application for optical pattern scanning, such as barcode scanning, is restricted to run on the higher-performance core, for decoding an optical pattern in the image of the scene.

Multi-threading performance improvements for recognition of optical patterns in images

An optical pattern in a real scene is decoded after acquiring a video stream using a camera of a mobile device, wherein the video stream comprises preview images of the real scene and the optical pattern is in the real scene. A viewport for a screen of the mobile device is defined. The viewport is overlayed on an application window. The video stream is presented in the viewport, wherein at least a portion of the optical pattern is depicted in the viewport. The optical pattern is decoded in one or more images of the real scene acquired by the camera.

Optical pattern decoding in a real scene using overlay functionality

A virtual surface is used for a standby mode for a device scanning optical codes. A virtual surface is designating as a rendering target for a camera of a mobile device used to detect and decode optical codes. The camera is started, with the virtual surface designated as the rendering target for the camera. The camera is stopped, without terminating a program that uses the camera, wherein the camera is in a standby mode. The camera is restarted to render to the virtual surface, after stopping the camera. An optical code is detected in an image acquired by the camera, after restarting the camera from the standby mode.

Virtual screen standby mode for mobile device camera

Incremental magnification is used to decode optical patterns, such a barcodes, in a scene. A first image of a scene is acquired using a first magnification of a camera, wherein the first image comprises a barcode. The barcode cannot be decoded. The magnification of the camera is increased by a predetermined magnification from the first magnification to a second magnification. A second image is acquired of the scene, including the barcode. The barcode is decoded after acquiring the second image.

Performance improvements for recognition of optical patterns in images using incremental magnification

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

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

An optical pattern is decoded in a scene. An automatic exposure feature of a camera is disabled. A first image is acquired and the optical pattern is detected in the first image. An exposure of the optical pattern in the first image is ascertained. At least one parameter of the camera is modified based on the exposure of the optical pattern. A second image is acquired using the modified parameter. The optical pattern in decoded in the second image.

Image exposure performance improvements for recognition of optical patterns

A mobile device may include a display, a camera, one or more processors, and one or more memory devices storing instructions. The instructions may cause the mobile device to detect an optical pattern in a scene using the camera, to receive a user action, and to execute a focus cycle of the camera after receiving the user action. The focus cycle may change the focal position of the camera from a first focal position to a second focal position. The instructions may also cause the mobile device to acquire an image of the scene using the camera at the second focal position to decode the optical pattern, generating an object identifier.

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Lucerne, Switzerland

Marco Valentino Biasini