Abstract: A TDM MIMO FMCW radar comprises an array of physical receivers with a first spacing in a first direction and a plurality of physical transmitters arranged with a second spacing in said first direction. A virtual array signal of a range-Doppler bin relating to a scene with a moving object is processed by a phase compensation method, which introduces a phase ambiguity between the subarrays. For each of the subarrays, a frequency spectrum is computed of those elements of the compensated virtual array signal which correspond to consecutive virtual antenna elements generated by physical receivers belonging to the same row. Next, an amplitude-peak frequency is identified jointly for the frequency spectra of the subarrays. Next, a residual phase shift between a pair of the subarrays is determined by comparing, at the amplitude-peak frequency, the respective phases of the frequency spectra.

Abstract: The present disclosure relates to a method for encoding a video stream. The method comprising: acquiring pixel data of the video stream having a first resolution; extracting a crop corresponding to a region of interest from the pixel data of the video stream, the crop having the first resolution; down-scaling the pixel data of the video stream into a down-scaled video stream having a second resolution lower than the first resolution; processing the down-scaled video stream through one or more video processing operations; processing the crop through the one or more video processing operations; up-scaling the processed down-scaled video stream into an up-scaled video stream having the first resolution; merging the processed crop and the up-scaled video stream into a merged video stream; and encoding the merged video stream. The present disclosure further related to a video encoding device.

Abstract: A method, implemented in a device, for remote resetting of the device to factory default settings, the device comprising an electric circuit adapted to carry out the factory default reset and a secure processing and storage environment, SPSE, the method comprising: receiving, at the SPSE, a request to reset the device to factory default settings and a challenge associated with the request, wherein the request and the challenge are received via a network; initiating, by the SPSE, a reset to factory default settings of the device by communicating with the electric circuit via a communication channel; and sending, by the SPSE, a confirmation via the network, wherein the confirmation includes a response to the challenge as produced by the SPSE and an attestation report, the attestation report being a declaration by the SPSE that the reset to factory default settings is initiated or carried out.

Abstract: A non-transitory computer-readable storage medium, a secure application framework, a system, and a computer implemented method for enabling secure processing of data are disclosed. The method comprises steps performed within a secure application framework running in a trusted execution environment. The data encrypted using a first random key are received, the first random key is received in a secure way, and the encrypted data is decrypted using the first random key. The data are then input to the processing application, the processing application is executed to process the input data, and output data are received from the processing application. A second random key is generated, the output data are encrypted using the second random key, the second random key is encrypted using a public key of a storage device, and the encrypted output data and the encrypted second random key are sent to the storage device.

Abstract: A method, performed by an image-capturing device, for installing the image-capturing device on a network. The image-capturing device operates according to an installation mode in which a limited set of persistent software settings of the image-capturing device can be changed and an installation-mode video stream which is privacy safe is anonymously accessible. The method comprises providing the installation-mode video stream in response to connecting the image-capturing device to the network.

Abstract: The present disclosure relates to a method of providing a video stream from a system comprising a main unit and a plurality of sensors, wherein the main unit is configured to receive data from the plurality of sensors, the method comprising the steps of: transmitting a multi-view video stream from the main unit to a client, wherein the multi-view video stream represents a multi-view composed of sensor data views from the plurality of sensors in the system; receiving, in the main unit, a command from the client representing a zoom-in operation; computing an updated multi-view according to the received command; evaluating if the updated multi-view includes an area outside a dominating sensor data view in the updated multi-view that is greater than a predetermined threshold; if the area outside the dominating sensor data view is greater than the predetermined threshold, transmitting a multi-view video stream representing the updated multi-view; if the area outside the dominating sensor data view is less than, or

Abstract: A device configured for mounting to a surface, comprises a base part and an attachment part, the attachment part being attachable to the base part, wherein the base part is provided with a keyhole-shaped opening for receiving a fastener comprising a head and a shaft for attaching the base part to the surface, the keyhole-shaped opening comprises a first segment permitting passage of the head and shaft and a second segment permitting passage of the shaft but preventing passage of the head.

Abstract: A method is described for initiating a wireless network to connect an electronic device among a set of first-type electronic devices with a second-type electronic device. The method comprising: receiving, at a service server configured to service the set of first-type electronic devices, data pertaining to a user-id; retrieving, from a database, a unique network configuration associated with the user-id, wherein the unique network configuration is known beforehand by the second-type electronic device; selecting, at the service server, an electronic device among the set of first-type electronic devices; and sending, to the selected electronic device, the unique network configuration associated with the user-id for allowing the selected electronic device to initiate a wireless network using the unique network configuration associated with the user-id.

Abstract: Methods for configuring a monitoring device to communicate with a service server are provided. The method includes the monitoring device sending a message including a monitoring device identifier used by a control server to identify the service server associated with the monitoring device, receiving one or more service server addresses associated with the identified service sever from the control server, and establishing a service connection between the monitoring device and the identified service server using the one or more addresses received from the control server. A control server adapted to configure a monitoring device in a monitoring system and a method for configuring the control server are also provided.

Abstract: A method for defining an outline of a region in an image having distorted lines comprises displaying a first image version having distorted lines, wherein lines in a first image portion of the first version have a reduced distortion, receiving user input defining a first outline portion of the outline of region in the first version, wherein the first outline portion includes one or more lines in the first image portion of the first version, displaying a further version of the image having distorted lines, wherein lines in a further image portion of the further version have a reduced distortion, and receiving user input defining a further outline portion of the outline of the region in the further, wherein the further outline portion includes one or more lines in the further portion of the further version.

Abstract: A controller for reading both an RS485 data signal and a Wiegand data signal from a user connector having two output ports. The controller comprises an RS485 transceiver with two input ports, each of which is connected to a respective one of the two output ports of the user connector or reading one data signal on each of the output ports from the user connector, and an output port for providing an RS485 data signal that is defined by the data signals read on the two output ports. The controller comprises an RS485 interface for receiving the RS485 data signal, and a Wiegand interface for receiving the RS485 data signal and a data ready port connected to the two input ports via a first logic circuit for determining whether the RS485 data signal is to be read as a Wiegand data signal or not on the Wiegand data port.

Abstract: A method of operating a hardware accelerator comprises: implementing a multi-layer neural network using the hardware accelerator; measuring a power consumption of the hardware accelerator while executing a predefined operation on the multi-layer network at a default clock frequency; evaluating one or more power management criteria for the measured power consumption; and, in response to exceeding one of the power management criteria, deciding to reduce the clock frequency relative to the default clock frequency. In the step of measuring a power consumption of the hardware accelerator, per-layer measurements which each relate to fewer than all layers of the neural network may be captured.

Abstract: A method encodes image frames of an image stream and transmits encoded image frames on a communications network. The method includes receiving and then dividing an image frame into multiple slices defined by first slice parameters and second slice parameters. The method also includes prioritizing the multiple slices and then generating a first encoded image frame having first encoded slices, second encoded slices and one or more first skip blocks. The method then generates and transmits a second encoded image frame having further second encoded slices defined by the second slice parameters and based on encoding second slices and further first encoded slices defined by the first slice parameters with more second skip blocks.

Abstract: A method for tracking an object in a scene is provided, including receiving a first image frame of a first image stream capturing a scene; detecting or tracking a first object in the first image frame, and determining that the first object is in a first part of the first image frame; determining, using object detection, that the first object belongs to a first object class; determining, based on multiple values of a tracking parameter each specific for different parts of the first image frame and for different object classes, a first value of the tracking parameter for the first part of the first image and for the first object class, and tracking the first object in a second image frame of the first image stream subsequent to the first image frame, based on the first value of the tracking parameter.

Abstract: A device, a non-transitory computer-readable storage medium, and a method of signing a metadata frame corresponding to an image frame of a sequence of image frames are disclosed. The metadata frame comprises metadata of one or more detected objects in the image frame, and the metadata of each detected object comprises coordinates defining a location in the image frame of the detected object. A digital signature is generated based on at least a subset of the metadata in the metadata frame, and additional metadata are added to the metadata frame. The additional metadata comprise the digital signature and predefined coordinates which define that the additional metadata comprise the digital signature. Furthermore, a device, a non-transitory computer-readable storage medium, and method of authenticating a digitally signed metadata frame corresponding to an image frame of a sequence of image frames are disclosed.

Abstract: A method of distortion correction in an image captured by a non-rectilinear camera includes obtaining multiple images of a scene captured by the camera over time, determining where bottom portions of objects having moved over a horizontal surface in the scene are located in the images, determining a boundary of the horizontal surface in the scene based on the determined locations of the bottom portions, generating a three-dimensional model of the scene by defining one or more vertical surfaces around the determined boundary of the horizontal surface of the scene, and correcting a distortion of at least one of the images by projecting the image onto the three-dimensional model of the scene. A corresponding device, computer program and computer program product are also provided.

Abstract: A device for monitoring a heap of material, comprises circuitry for executing a plurality of functions. A region of interest function, in a thermal video stream captured by a thermal video camera, defines a region of interest covering the heap of material. A reference spatial property setting function, from pixels within a video frame of the thermal video stream, determines a spatial property of the heap of material; and sets the determined spatial property as a reference spatial property. A region of interest adjusting function determines a respective sample spatial property for regions in the thermal video stream; and adjusts the region of interest such that regions exhibiting a sample spatial property above a threshold are included by the region of interest. A temperature monitoring function over time and within the region of interest, monitors a temperature measure; and if it exceeds a predetermined threshold, generates an alarm event.

Abstract: A device and method for detecting objects crossing a crossline, and the direction, captured by a video camera are described. A sequence of video image frames of the scene is captured, and a combined image frame is created by extracting two or more lines of pixels of each image frame and arranging them adjacent to each other, wherein the lines of pixels of each video image frame are parallel and correspond to the crossline in the scene. The combined image frame is sent to a machine learning model that detects a combined image frame representing an object crossing a crossline and a direction the object crosses during capturing of the sequence of video image frames. A detection of any object crossing the crossline and a direction of crossing is received from the machine learning model.