The present disclosure relates to a method of selecting an accident image by using speed profile analysis, which can sufficiently secure an available capacity of a storage medium, can reduce the amount of transmission data and a fee therefor, and can prevent a loss of unnecessary management expenses, by selecting an actual accident image by using speed profile analysis before and after the occurrence of an impact event and deleting, from the storage medium, an image having a grade determined to have a low accident possibility or changing a state of the image into an overwritable state or taking measures for preventing the transmission of the image to a cloud server.

A method for vision-based tool localization (VTL) in a robotic assembly system including one or more calibrated cameras, the method comprising capturing a plurality of images of the tool contact area from a plurality of different vantage points, determining an estimated position of the tool contact area based on an image, and refining the estimated position based on another image from another vantage point. The method further comprises providing the refined position to the robotic assembly system to enable accurate control of the tool by the robotic assembly system.

Embodiments are described for placing a watermark over application windows in a desktop. For each application window that is opened in the desktop, the system can determine whether the application requires a watermark, for example, based on a predefined list that specifies which applications require watermarks. For each application window that requires a watermark, a uncovered watermark region can be calculated where the watermark will appear. An overlay can be placed over the application windows, for example in a top-level window that does not receive mouse and keyboard inputs, and the watermark can be drawn in the overlay over the location of the uncovered watermark region of each application. As a result, watermarks can be placed over a plurality of specified application windows in an efficient and convenient manner.

Systems, methods, devices, server computers, storage media, and instructions for prioritized device action triggered by device scan data are described. In one embodiment, a mobile device performs a method that involves executing a messaging application with an image capture interface and a scanning input. An associated scanning mode comprises capture of scan data from a plurality of input/output modules of the first client device, analyzes the scan data to identify one or more scan data patterns by matching at least a portion of the scan data against a set of data patterns, and selects a priority system action based on the results of the matching of the portion of the scan data against the set of data patterns. In some embodiments, the priority system action is selected based on a priority ranking for identified scan data types.

Data are encoded into one or more optically encoded images. The optically encoded images are then inserted as image data into a video sequence—i.e., in video frames. Data are transmitted in-band within the video, via any conceivable video distribution channel or format. The video may be trans-coded as required—because the data are optically encoded, any video processing that even crudely preserves the frame images will preserve the optically encoded data. This scheme of in-band data transfer in video is very robust. A video receiving apparatus receives the video, inspects the image data from video frames in memory, detects optically encoded images in the image data, and decodes the optically encoded images to recover the data. The frames carrying optically encoded images are typically discarded and not rendered to a display. The data from a plurality of optically encoded images may be concatenated, and further processed.

The image-capturing unit includes an imaging section; a holding section configured to hold a subject to be imaged by the imaging section; a light irradiation section configured to select light of one or more light sources out of multiple light sources having different wavelengths, and to irradiate the subject held in the holding section with the light; a storage section configured to store a correspondence among a color of the light emitted for irradiating the subject by the light irradiation section, a material of an irradiation surface irradiated with the light, and a resolution representing the number of pixels per unit length; and an image processing section configured to obtain the resolution from the correspondence, based on the color of the light emitted for irradiating the subject and the material of the irradiation surface of the subject, and to process a subject image by using the resolution.

A cleaning control device is configured to control a cleaning system of a vehicle equipped with (i) an optical sensor configured to acquire an outside light image according to intensity of outside light while light irradiation for sensing reflected light is stopped, (ii) a sensing camera configured to acquire a camera image according to the intensity of the outside light, and (iii) the cleaning system configured to clean an incident surface on which light is incident from sensing areas of the optical sensor and the sensing camera overlapping with each other. The cleaning control device includes an extraction unit configured to extract an unmatched pixel group by comparing the outside light image with the camera image, and a control unit configured to instruct the cleaning system to perform cleaning control to remove dirt from the incident surface, the dirt being estimated to correspond to the unmatched pixel group.

Methods and systems for controlling robotic actions for agricultural tasks are disclosed which use a spacing-aware plant detection model. A disclosed method, in which all steps are computer-implemented, includes receiving, using an imager moving along a crop row, at least one image of at least a portion of the crop row. The method also includes using the at least one image, a plant detection model, and an average inter-crop spacing for the crop row to generate an output from the plant detection model. The plant detection model is spacing aware in that the output of the plant detection model is altered or overridden based on the average inter-crop spacing. The method also includes outputting a control signal for the robotic action based on the output from the biased plant detection model. The method also includes conducting the robotic action for the agricultural task in response to the control signal.

Methods and systems of inserting image files into a container are described herein. One method includes overseeing a submission of images to containers, retrieving a job of inserting images into the container, and inserting images into the container by, for each of the plurality of images: (i) reading and analyzing source data including the image; (ii) opening the container, which includes records, where the image will be stored; (iii) determining whether the source data is valid to be entered into a record; (iv) responsive to a determination that the source of data is valid, preparing metadata; (v) writing the record into the container; and (vi) marking a status flag/mark of the record as being updated while writing the record into the container.

Methods and systems of inserting image files into a container are described herein. One method includes overseeing a submission of images to containers, retrieving a job of inserting images into the container, and inserting images into the container by, for each of the plurality of images: (i) reading and analyzing source data including the image; (ii) opening the container, which includes records, where the image will be stored; (iii) determining whether the source data is valid to be entered into a record; (iv) responsive to a determination that the source of data is valid, preparing metadata; (v) writing the record into the container; and (vi) marking a status flag/mark of the record as being updated while writing the record into the container.