The invention relates to a sensor system (200, 300, 400) for a motor vehicle, comprising a sensor housing and an active or passive sensor (102) arranged therein and held on a movable sensor holder (201, 401), having a sensor technology based on radiation detection and a measurement apparatus assigned to the sensor (102) and a control apparatus, coupled to said measurement apparatus, for the sensor holder (201, 401), wherein the sensor housing has a cover (106, 301) that is signal-transmissive for the sensor (102) on its side located in the detection direction of the sensor (102), and wherein the detection range (108, 109) of the sensor (102) in the region of the signal-transmissive cover (106, 301) has a lower extent than the signal-transmissive cover (106, 301), wherein the sensor system (200, 300, 400) is characterized in that the measurement apparatus is designed such that it is suitable for checking, in the detection range of the sensor (102), whether and in which section the signal-transmissive cover (106, 301) has a region with reduced signal transmissivity (202), wherein the measurement apparatus interacts with the control apparatus in such a way that the control apparatus is able to change the position of the sensor (102) in such a way that the region with reduced signal transmissivity (202) lies outside the detection range (108, 109) of the sensor (102). The invention furthermore relates to a method for operating such a sensor system (200, 300, 400) and to a motor vehicle that is equipped with such a sensor system (200, 300, 400).

A Convolution Multiply and Accumulate-Xtended (CMAC-X) system (102) for performing a convolution operation with functional safety mechanism is disclosed. The CMAC-X system (102) receives image data pertaining to an image. The image data comprises a set of feature matrix, a kernel size and depth information. Further, the CMAC-X system (102) generates a convoluted data based on convolution operation for each feature matrix, The CMAC-X system (102) performs an accumulation of the convoluted data to generate accumulated data, when the convolution operation for each feature matrix is performed. The CMAC-X system (102) further performs an addition of a predefined value to the accumulated data to generate added data. Further, the CMAC-X system (102) filters the added data. Further, the CMAC-X system (102) comprises a functional safety unit to verify a functionality of the CMAC-X system (102), thereby performing the convolution operation of the image with functional safety mechanism.

A three-dimensional (3D) image-based facial verification method and apparatus is provided. The facial verification method may include capturing a facial image of a 3D face of a user, determining an occluded region in the captured facial image by comparing the captured facial image and an average facial image, generating a synthetic image by synthesizing the captured facial image and the average facial image based on the occluded region, and verifying the user based on the synthetic image.

There is provided mechanisms for identifying decreasing object detectability for a video stream. A method is performed by a controller. The method includes receiving the video stream over a communication channel. The method includes receiving first visual object detection (VOD) data of the video stream. The first VOD data has been obtained from the video stream before is sent over the communication channel towards the controller. The method includes obtaining second VOD data of the video stream. The second VOD data is obtained from the video stream after is received by the controller. The method includes determining, by comparing the first VOD data to the second VOD data, whether any object present in the first VOD data has a decreased object detectability in the second VOD data, thereby identifying the decreasing object detectability for the video stream. The method includes issuing a notification when the decreasing object detectability has been identified.

Disclosed are a real-time object detection method and an apparatus therefor. An object detection apparatus may receive an input image, may extract a first feature map from the input image, may detect an object included in the input image based on the first feature map, may extract, from the input image, a second feature map having resolution higher than the resolution of the first feature map, may extract a third feature map from the second feature map based on the region of the detected object, and may redetect the object based on the first feature map and the third feature map.

A vehicle control device according to an embodiment of the present invention includes an interface unit connected to a display and a camera within a vehicle; a processor receiving an image obtained by the camera through the interface unit and evaluating the received image based on a plurality of features, wherein the processor evaluates the image depending on whether the plurality of features satisfies a condition in which a driver sitting in the vehicle is recognizable; and a memory storing malfunction information of the camera corresponding to an evaluation result of the image. The processor controls the display to display malfunction information of the camera if the evaluation result of the image is determined to be poor.

A method of automatically geolocating a visual target. The method comprises operating a flying vehicle in a search region including the visual target. The method further includes affirmatively identifying a visual target in an aerial photograph of the search region captured by the flying vehicle. The method further includes automatically correlating the aerial photograph of the search region to a geo-tagged photograph of the search region, wherein the geo-tagged photograph is labelled with pre-defined geospatial coordinates. Based on such automatic correlation, a geospatial coordinate is determined for the visual target in the search region.

An information processing device including: an input unit that receives time-series data including a plurality of data input in time series and having a correlation in at least a part between the data; and a division unit that temporally divides the time-series data by a first divider width to cause an analysis system to perform a first analysis process of the time-series data with the first divider width and temporally divides the time-series data by a second divider width that is longer than the first divider width to cause the analysis system to perform a second analysis process of the time-series data with the second divider width.

A product label printing and checking system, comprising data processing means configured to: control the printing of product labels; control the acquisition and reception of images of the printed labels by an image acquisition device such as an optical scanner; and check the printed labels for defects, wherein each printed label accords with a label format specification for that label, whereby the label has a common layout and comprises printed product-related information located in one or more regions on the label, wherein the data processing means includes a label checking module in which there is provided a reference image of the label, and the checking module is configured so that the acquired images are sequentially compared against the reference image according to pre-determined quality control indicators relating to the expected information content and location in the label regions, and wherein the label is flagged for review or rejection if it is non-compliant. The label format specification may be determined and/or stored before a print run, in the form of an accessible file. This may then be retrieved by the label printing and checking system before a print run using that label format. In an aspect of the invention the label format specification may be used to provide instructions to be sent to a printer for the printing of each label. The reference image and its associated inspection mask may thus be configured in real time by assembling specifications for label region location, region information and inspection tool, and optionally inspection tool parameters.

Embodiments herein disclose a method and device for processing an image, electronic equipment, and a storage medium. The method is as follows. A face image frame sequence of which a first face parameter meets a preset condition is acquired by filtering an image frame sequence. A second face parameter of each face image in the face image frame sequence is determined. A quality score of the each face image in the face image frame sequence is determined according to the first face parameter and the second face parameter of the each face image in the face image frame sequence. A target face image for face recognition is acquired according to the quality score of the each face image in the face image frame sequence.