Abstract: An access control method and system that uses tokens on a blockchain which are used for subsequent access to a local network. The tokens are authenticated on the local network using blockchain. A client device can present a token to the local network from anywhere in the world in order to access at least one device on the local network. In an example, the method includes presenting, to a node of the local network, the token; and receiving, from the node, successful authentication of the token. The method can include, after the successful authentication of the token, authorizing the client device to access a device on the local network or removing access to the device for the client device.

Abstract: Electrical system and method for detecting an end-of-life (EOL) of a circuit are disclosed. In an embodiment, the electrical system includes a sensing circuit for detecting variance of an input electrical power to an electrical device; and a processor for receiving the variance and comparing the variance with a threshold range. When the variance is out of the threshold range, the processor generates a signal to cause the output electrical power disconnected.

Abstract: A vehicular vision system includes a plurality of cameras disposed at a vehicle and capturing image data as the equipped vehicle is driven along a traffic lane of a road. Captured image data is processed to detect a rearward-approaching vehicle and determine a path of travel of the detected rearward-approaching vehicle. Responsive to determining that the path of travel of the detected rearward-approaching vehicle is along a side traffic lane adjacent to the traffic lane along which the equipped vehicle is driven, the vehicular vision system (i) displays at a video display screen video images derived at least from image data captured by the side camera that is at the side portion of the equipped vehicle that is adjacent to the side traffic lane and (ii) overlays a transparent graphic overlay overlaying the displayed video images that is based on the determined path of travel of the detected rearward-approaching vehicle.

Abstract: A vehicular vision system includes a camera disposed at a vehicle and operable to capture multiple frames of image data during a driving maneuver of the vehicle. A control includes an image processor that processes frames of captured image data to determine feature points in an image frame when the vehicle is operated within a first range of steering angles, and to determine motion trajectories of those feature points in subsequent image frames for the respective range of steering angles. The control determines a horizon line based on the determined motion trajectories. Responsive to determination that the determined horizon line is non-parallel to the horizontal axis of the image plane, at least one of pitch, roll or yaw of the camera is adjusted. Image data captured by the camera is processed at the control for object detection.

Abstract: An access control method and system that uses a physical proximity interface on a token dispenser device to obtain tokens on a blockchain which are used for subsequent access to a local network. The tokens are authenticated on the local network using proof of authority authentication. A client device can present a token to the local network from anywhere in the world in order to access at least one device on the local network. In an example, the method includes receiving, from the physical proximity interface of the token dispenser device, a token on a blockchain layer; presenting, to a node of the local network, the token; and receiving, from the node, successful authentication of the token by way of proof of authority authentication. The method can include, after the successful authentication of the token, authorizing the client device to access a device on the local network.

Abstract: A vehicular vision system includes a plurality of cameras disposed at a vehicle and capturing image data as the equipped vehicle is driven along a traffic lane of a road. Captured image data is processed to detect a rearward-approaching vehicle and determine a path of travel of the detected rearward-approaching vehicle. Responsive to determining that the path of travel of the detected rearward-approaching vehicle is along a side traffic lane adjacent to the traffic lane along which the equipped vehicle is driven, the vehicular vision system (i) displays at a video display screen video images derived at least from image data captured by the side camera that is at the side portion of the equipped vehicle that is adjacent to the side traffic lane and (ii) overlays a transparent graphic overlay overlaying the displayed video images that is based on the determined path of travel of the detected rearward-approaching vehicle.

Abstract: Arc fault current interrupter electrical devices and systems. An example is an electrical device comprising: a contact configured for electrical connection to a power line; at least one sensor to detect at least voltage signals indicative of the power line; and a processor configured to determine from the detected voltage signals that a series arc fault has occurred.

Abstract: A method for stitching image data captured by multiple vehicular cameras includes equipping a vehicle with a vehicular vision system having a control and a plurality of cameras disposed at the vehicle so as to have respective fields of view exterior the vehicle. Image data captured by first and second cameras of the plurality of cameras is processed to detect and track an object present in and moving within an overlapping portion of the fields of view of the first and second cameras. Image data captured by the first and second cameras is stitched, via processing provided captured image data, to form stitched images. Stitching of captured image data is adjusted responsive to determination of a difference between a feature of a detected and tracked object as captured by the first camera and the feature of the detected and tracked object as captured by the second camera.

Abstract: A vehicular vision system includes a camera disposed at a vehicle and operable to capture multiple frames of image data during a driving maneuver of the vehicle. A control includes an image processor that processes frames of captured image data to determine feature points in an image frame when the vehicle is operated within a first range of steering angles, and to determine motion trajectories of those feature points in subsequent image frames for the respective range of steering angles. The control determines a horizon line based on the determined motion trajectories. Responsive to determination that the determined horizon line is non-parallel to the horizontal axis of the image plane, at least one of pitch, roll or yaw of the camera is adjusted. Image data captured by the camera is processed at the control for object detection.

Abstract: An electrical receptacle contains contacts, at least one contact for electrical connection to a hot power line and at least one contact for a neutral power line. A controlled switch, such as a TRIAC, is connected in series relationship between the contact and the hot power line. One or more sensors are provided which detect signals of the hot power line and/or the neutral power line. The processor provides activation or deactivation control to the controlled switch in response to the detected signals that are indicative of conditions relative to the first and second contacts.

Abstract: A method for dynamically calibrating a vehicular camera includes disposing a camera at a vehicle and operating the camera to capture multiple frames of image data while the vehicle is in motion and is steered within at least two ranges of steering angles. Feature points are determined in an image frame when the vehicle is steered within a respective range of steering angles, and motion trajectories of those feature points are tracked in subsequent image frames for the respective range of steering angles. A horizon line is determined based on the tracked feature points. Responsive to determination that the determined horizon line is non-parallel to the horizontal axis of the image plane, at least one of pitch, roll or yaw of the camera is adjusted. Image data captured by the camera is processed at the control for object detection.

Abstract: A method for calibrating a vehicular camera includes providing at least a front or rear camera and a side camera with overlapping fields of view, and calibrating the front or rear camera, capturing a calibrated frame of image data with the front or rear camera, and capturing a sideward frame of image data with a side camera. At least one feature is determined present in the overlapping region of the calibrated frame, and pixel positions of the determined feature are predicted for the side camera. Misalignment of the side camera is determined based on a comparison of the predicted pixel positions of the determined feature to the pixel positions of the determined feature in the sideward frame of image data captured by the side camera. Processing of image data captured by the side camera is adjusted to accommodate the determined misalignment.

Abstract: A method for stitching image data captured by multiple vehicular cameras includes equipping a vehicle with a vehicular vision system having a control and a plurality of cameras disposed at the vehicle so as to have respective fields of view exterior the vehicle. Image data captured by first and second cameras of the plurality of cameras is processed to detect and track an object present in and moving within an overlapping portion of the fields of view of the first and second cameras. Image data captured by the first and second cameras is stitched, via processing provided captured image data, to form stitched images. Stitching of captured image data is adjusted responsive to determination of a difference between a feature of a detected and tracked object as captured by the first camera and the feature of the detected and tracked object as captured by the second camera.

Abstract: Built-in instrumentation for power measurement integrating power monitoring, delivery and management, power safety, and automation control.

Abstract: A method for stitching images captured by multiple vehicular cameras includes disposing a plurality of cameras at the vehicle so as to have respective fields of view exterior the vehicle. Image data captured by first and second cameras of the plurality of cameras is processed to detect an object present in an overlapping portion of the fields of view of the first and second cameras. Image data captured by the first and second cameras is stitched, via processing provided captured image data, to form stitched images. Stitching of captured image data is adjusted responsive to determination of a difference between a characteristic of a feature of a detected object as captured by the first camera and the characteristic of the feature of the detected object as captured by the second camera in order to mitigate misalignment of stitched images.

Abstract: A method for calibrating a vehicular camera includes providing at least a front or rear camera and a side camera with overlapping fields of view, and calibrating the front or rear camera, capturing a calibrated frame of image data with the front or rear camera, and capturing a sideward frame of image data with a side camera. At least one feature is determined present in the overlapping region of the calibrated frame, and pixel positions of the determined feature are predicted for the side camera. Misalignment of the side camera is determined based on a comparison of the predicted pixel positions of the determined feature to the pixel positions of the determined feature in the sideward frame of image data captured by the side camera. Processing of image data captured by the side camera is adjusted to accommodate the determined misalignment.

Abstract: A method for dynamically calibrating a vehicular camera includes disposing a camera at a vehicle and operating the camera to capture multiple frames of image data while the vehicle is in motion and is steered within at least two ranges of steering angles. Feature points are determined in an image frame when the vehicle is steered within a respective range of steering angles, and motion trajectories of those feature points are tracked in subsequent image frames for the respective range of steering angles. A horizon line is determined based on the tracked feature points. Responsive to determination that the determined horizon line is non-parallel to the horizontal axis of the image plane, at least one of pitch, roll or yaw of the camera is adjusted. Image data captured by the camera is processed at the control for object detection.

Abstract: A method for dynamically ascertaining alignment of a vehicular camera relative to a vehicle to which the camera is attached includes determining a plurality of steering angle ranges for the vehicle, each of which is a range of steering angles that approximates straight vehicle motion over less than two seconds of travel time of the vehicle while the vehicle is in motion and turning. Image data captured by a camera of the vehicle is processed to determine a central vanishing point when the vehicle is in motion and moving straight. A plurality of feature points are selected in the image frames for each steering angle range, and a vanishing point for a plurality of tracked motion trajectories for each steering angle range is determined. An alignment of the camera is determined based at least in part on the determined central vanishing point and a determined vanishing line.

Abstract: A method for dynamically calibrating without manual intervention a forward viewing vehicular camera with respect to its three rotational degrees of freedom includes disposing a camera at a vehicle and operating the camera to acquire multiple frames of image data as the vehicle is moving and steered through a plurality of steering angles. Feature points are determined in an image frame when the vehicle is steered within a respective range of steering angles and motion trajectories of those feature points are tracked in subsequent image frames for the respective range of steering angles. A vanishing point is established in the image plane for the feature points for the respective range of steering angles. Based on established vanishing points, a vanishing line is determined. When the vanishing line is determined to be non-horizontal, at least one of pitch, roll or yaw of the camera is adjusted.

Abstract: A method for stitching images captured by multiple vehicular cameras includes disposing a plurality of cameras at the vehicle so as to have respective fields of view exterior the vehicle. Image data captured by first and second cameras of the plurality of cameras is processed to detect an object present in an overlapping portion of the fields of view of the first and second cameras. Image data captured by the first and second cameras is stitched, via processing provided captured image data, to form stitched images. Stitching of captured image data is adjusted responsive to determination of a difference between a characteristic of a feature of a detected object as captured by the first camera and the characteristic of the feature of the detected object as captured by the second camera in order to mitigate misalignment of stitched images.