Abstract: A server includes a communications interface; and a processor connected with the communications interface, the processor configured to: receive, from each of a plurality of capture nodes: (i) an initial point cloud depicting a portion of a capture volume, and (ii) boundary values corresponding to the initial point cloud; generate a bounding box from the boundary values received from the capture nodes; select respective portions of each initial point cloud based on the bounding box; and combine the selected portions to generate a combined point cloud.

Abstract: A calibration system includes: a reference device including an array of markers at predetermined positions; a camera; and a computing device configured to: store reference data defining the predetermined positions of the markers in a capture volume frame of reference; obtain a calibration image of the reference device captured by the camera; detect image positions of the markers in the calibration image, the image positions defined according to camera frame of reference; based on the image positions of the markers and the reference data, generate calibration data mapping coordinates in the camera frame of reference to coordinates in the capture volume frame of reference.

Abstract: A data capture system for object dimensioning includes: a projector to project a structured light pattern onto a capture volume to illuminate an object in the capture volume; a depth sensor; a set of image sensors; and a processor configured to: responsive to detection of the object, control the depth sensor to obtain a depth scan of the object; based on the depth scan, determine an attribute of the object; select projection parameters based on the attribute; control the projector to illuminate the object according to the projection parameters; and control the set of image sensors to capture respective images of the object.

Abstract: A data capture system includes: a first capture node including: a first set of image sensors, and a first computing device connected with the first set of image sensors and configured to: control the first set of image sensors to capture respective images of an object within a capture volume; generate a first point cloud based on the images; and transmit the first point cloud to a data capture server for dimensioning of the object; and a second capture node including: a second set of image sensors, and a second computing device connected with the second set of image sensors and configured to: control the second set of image sensors to capture respective images of the object; generate a second point cloud based on the images; and transmit the second point cloud to the data capture server.

Abstract: A server includes: a memory storing calibration data; and a processor connected with the memory, the processor configured to: obtain a point cloud depicting a capture volume containing a transporter having a body and a holder carrying an object to be dimensioned; obtain a set of positions associated with the transporter; based on the set of positions and the calibration data, select a first portion of the point cloud excluding the body of the transporter and a mast of the holder; based on the calibration data, select a second portion of the point cloud from the first portion, excluding a base of the holder; and dimensioning the object based on the second portion of the point cloud.

Abstract: A data capture system for object dimensioning includes: a projector to project a structured light pattern onto a capture volume to illuminate an object in the capture volume; a depth sensor; a set of image sensors; and a processor configured to: responsive to detection of the object, control the depth sensor to obtain a depth scan of the object; based on the depth scan, determine an attribute of the object; select projection parameters based on the attribute; control the projector to illuminate the object according to the projection parameters; and control the set of image sensors to capture respective images of the object.

Abstract: A server includes a communications interface; and a processor connected with the communications interface, the processor configured to: receive, from each of a plurality of capture nodes: (i) an initial point cloud depicting a portion of a capture volume, and (ii) boundary values corresponding to the initial point cloud; generate a bounding box from the boundary values received from the capture nodes; select respective portions of each initial point cloud based on the bounding box; and combine the selected portions to generate a combined point cloud.

Abstract: A server includes: a memory storing calibration data; and a processor connected with the memory, the processor configured to: obtain a point cloud depicting a capture volume containing a transporter having a body and a holder carrying an object to be dimensioned; obtain a set of positions associated with the transporter; based on the set of positions and the calibration data, select a first portion of the point cloud excluding the body of the transporter and a mast of the holder; based on the calibration data, select a second portion of the point cloud from the first portion, excluding a base of the holder; and dimensioning the object based on the second portion of the point cloud.

Abstract: A data capture system includes: a first capture node including: a first set of image sensors, and a first computing device connected with the first set of image sensors and configured to: control the first set of image sensors to capture respective images of an object within a capture volume; generate a first point cloud based on the images; and transmit the first point cloud to a data capture server for dimensioning of the object; and a second capture node including: a second set of image sensors, and a second computing device connected with the second set of image sensors and configured to: control the second set of image sensors to capture respective images of the object; generate a second point cloud based on the images; and transmit the second point cloud to the data capture server.

Abstract: A server includes: a memory storing calibration data; and a processor connected with the memory, the processor configured to: obtain a point cloud depicting a capture volume containing a transporter having a body and a holder carrying an object to be dimensioned; obtain a set of positions associated with the transporter; based on the set of positions and the calibration data: generate side cutting planes corresponding to sides of the body of the transporter; generate a front cutting plane corresponding to a forward surface of a mast of the holder; and discard points between the side cutting planes and the front cutting plane to obtain a first portion of the point cloud; based on the calibration data, select a second portion of the point cloud from the first portion, excluding a base of the holder; and dimension the object based on the second portion of the point cloud.

Abstract: A data capture system for object dimensioning includes: a motion sensor configured to generate a detection signal responsive to detecting an object at a capture position within a capture volume; a capture controller connected to the motion sensor and configured, responsive to receiving the detection signal, to generate and transmit a shutter command substantially simultaneously to each of a plurality of cameras that causes each camera to capture a respective image of a synchronous set of images of the capture volume; an image processing server connected to each of the plurality of cameras and configured to receive the synchronous set of images from the cameras, and to store the synchronous set of images in a common repository; the image processing server further configured to generate a point cloud representing the object based on the synchronous set of images, for use in determining dimensions of the object.

Abstract: A data capture system for object dimensioning includes: a motion sensor configured to generate a detection signal responsive to detecting an object at a capture position within a capture volume; a capture controller connected to the motion sensor and configured, responsive to receiving the detection signal, to generate and transmit a shutter command substantially simultaneously to each of a plurality of cameras that causes each camera to capture a respective image of a synchronous set of images of the capture volume; an image processing server connected to each of the plurality of cameras and configured to receive the synchronous set of images from the cameras, and to store the synchronous set of images in a common repository; the image processing server further configured to generate a point cloud representing the object based on the synchronous set of images, for use in determining dimensions of the object.

Abstract: An image processor provides a combined image of an object from first and second cameras. The image processor receives a first image from a first camera and a second image from a second camera. The first and second images each include a field of view and metadata associated with the image. The image processor determines whether a combined image of the first and second images will be viewed by a person or a machine. If the combined image is to be processed by a machine, the first and second metadata are included with the combined image and sent to the machine. If the combined image is to be viewed by a person, the combined image includes a subset of the metadata so that the image is not too large or too cluttered.

Abstract: An image processor provides a combined image of an object from first and second cameras. The image processor receives a first image from a first camera and a second image from a second camera. The first and second images each include a field of view and metadata associated with the image. The image processor determines whether a combined image of the first and second images will be viewed by a person or a machine. If the combined image is to be processed by a machine, the first and second metadata are included with the combined image and sent to the machine. If the combined image is to be viewed by a person, the combined image includes a subset of the metadata so that the image is not too large or too cluttered.

Abstract: A method and circuit for mitigating RFI in an electronic device that occurs while the device is in a low power mode utilizes one or more antenna elements in the device to receive RF energy. When the RF energy is sufficiently high that it could affect signal states in the device while in the low power mode, the device transitions from the low power mode to an active mode and begins an RFI mitigation process to ensure signal states and other circuit operations in the device are not changed by the RFI.

Abstract: In order to improve radio-frequency (RF) coverage along a route to/from an incident, a method and apparatus for autonomous dispatching of network equipment is provided herein. During operation, a route to/from an incident scene will be determined. RF coverage, and or the load level of the equipment along the route will be determined, and a determination whether or not adequate coverage/capacity will be provided to vehicles along the route is made. A base station will be dispatched along the route based on a determination if equate coverage/capacity will be provided to vehicles traveling along the route.

Abstract: A method and circuit for mitigating RFI in an electronic device that occurs while the device is in a low power mode utilizes one or more antenna elements in the device to receive RF energy. When the RF energy is sufficiently high that it could affect signal states in the device while in the low power mode, the device transitions from the low power mode to an active mode and begins an RFI mitigation process to ensure signal states and other circuit operations in the device are not changed by the RFI.

Abstract: In a network comprising a plurality of channels, at least two channels are operating at different frequencies. The fixed network equipment (FNE; 124, 126) identifies a plurality of channels present at a serving site and classifies each channel into one of a plurality of bandwidth groups. All the channels in a given bandwidth group have common roaming characteristics. The FNE periodically broadcasts information relating to at least one channel in each bandwidth group present at the serving site. The FNE further identifies least one channel present at an adjacent site. Each channel present at the adjacent site is also classified in one of the plurality of bandwidth groups. The FNE broadcasts information on loading for each bandwidth group present at the adjacent site.

Abstract: A method for the selection of forward error correction (FEC)/constellation pairings (800) for digital transmitted segments based on learning radio link adaptation (RLA) including formatting a packet transmission having a predetermined number of information bits (801). The packet is then split into a plurality of segments (803) where an RLA is used (805) to determine the optimum format of the packet. The plurality of segments is then sent to a channel encoder for FEC encoding and symbol mapping (807) at a rate selected by the RLA. The segments are then formatted into packet blocks (809) and transmitted in blocks that form a time slot at a constant symbol rate.

Abstract: A method and system for synchronizing scan opportunities in a mobile communications system. Time slots are sent between a mobile subscriber and an associated base station wherein the mobile subscriber corresponds to a scan group. The number of time slots sent between the mobile subscriber and the associated base station is counted. Based upon the count, the scan group of the mobile subscriber, a scan rate, and a scan opportunity divisor, a scan opportunity is determined. If it is a scan opportunity, a scan is performed of a neighboring base station.