Abstract: A luggage tag includes an electronic ink display screen affixed to a surface of the luggage tag. Tag memory of the tag stores a unique identifier. An antenna receives an electromagnetic signal. Circuitry of the tag captures energy and acquires data from the electromagnetic signal received by the antenna and powers the electronic ink display with the captured energy. A processor receives the data acquired by the circuitry from the electromagnetic signal and produces an image on the electronic ink display using the acquired data if the acquired data includes a match to the unique identifier stored in the memory.

Abstract: An electronic tag comprises a body housing a wireless radiofrequency (RF) receiver and a processor that is in communication with the wireless RF receiver. The body has an opening therein. The opening leads to a channel in the body sized to receive a section of a strap or similar mechanical fastener. The body has a latch or similar means for clasping this strap. The latch is coupled to the body to move between a closed position and an open position. An underside of the latch has a tensioning arm attached thereto. The tensioning arm presses against the strap and urging the strap forward into the channel when the latch is moved toward the closed position and disengaging from the strap when the latch is moved into the open position. The latch locks the strap in place when in the closed position.

Abstract: A package management system comprises a slot including a pair of opposing spaced-apart planar surfaces on a base, and having a transmitter that generates an electromagnetic signal and a receiver in a path of the electromagnetic signal emitted by the transmitter. The system generates a signal indicative of whether the receiver senses the electromagnetic signal emitted by the transmitter. A control unit is in communication with the receiver and determine from the signal produced by each receiver of the given slot whether that receiver senses the electromagnetic signal. The processor considers the given slot to be empty if the signal produced by the receiver of indicates that the receiver senses the electromagnetic signal and considers the item to be present in the given slot if the signal produced by the receiver of the given slot indicates that a strength of the electromagnetic signal is below a predetermined threshold.

Abstract: A system and method of identifying and tracking objects comprises registering an identity of a person who visits an area designated for holding objects, capturing an image of the area designated for holding objects, submitting a version of the image to a deep neural network trained to detect and recognize objects in images like those objects held in the designated area, detecting an object in the version of the image, associating the registered identity of the person with the detected object, retraining the deep neural network using the version of the image if the deep neural network is unable to recognize the detected object, and tracking a location of the detected object while the detected object is in the area designated for holding objects.

Abstract: An apparatus comprises a kiosk and one or more computer-vision-based object tracking modules connected to the kiosk, each module comprising a camera and a processor configured to register and track objects within a field of view of the camera of that module.

Abstract: A computer vision system for automatic identification, tracking and management of inventory and/or assets, wherein: the computer vision system is programmed with predetermined and configurable image data conditions that identify and capture certain types of movement; the computer vision system is programmed to constantly capture and process image data from one or more sets of sensors to detect the image data conditions; the computer vision system is programmed to trigger the process of identifying all objects and extracting label information from objects present in a field of view of the system if the image data conditions are fulfilled; the computer vision system processes the image data with one or more object detection algorithms and label detection algorithms and generate correspondences between objects and labels identified; and the computer vision system running change detection algorithms and semantic analysis to detect if any object was moved, removed, occluded and if any new objects were added in to

Abstract: Methods and systems for tracking an object comprise a horizontal surface upon which objects are to be placed, a weight sensor disposed on one side of the horizontal surface, and a processor in communication with the weight sensor. The processor is adapted to detect a change in weight measured by the weight sensor, to associate the detected weight change with an identified object and with a location on the horizontal surface, and to confirm whether a cause of the weight change at the location on the horizontal surface corresponds to a proper handling of the identified object.

Abstract: A luggage tag comprises an indicator; a thin tag body including a radiofrequency (RF) receiver configured to receive an RF signal transmitted by an RF transmitter and a processor in communication with the RF receiver and the indicator, the processor being configured to acquire information from the RF signal that is received by the RF receiver and to turn on the indicator in response to the information acquired from the RF signal; and means for coupling the thin tag body of the luggage tag to luggage.

Abstract: A system and method of calibrating a light source relative to an optical device comprise virtually projecting by an image projector an image onto a three-dimensional surface of at least one object, the image comprising a virtual grid comprised of predefined points onto an area having the three-dimensional surface of at least one object, each predefined point of the virtual grid corresponding to one of a plurality of termination points of beams cast by the directional light source, at least one of the termination points of the beams are on a surface of the at least one object; simultaneously capturing by at least one optical device data for a plurality of points on the virtual grid by projecting the image into a field of view of the at least one optical device; and calibrating a location and orientation of the light source relative to the optical device using the captured data for the plurality of points.

Abstract: A network comprises a network apparatus constructed and arranged for each of a plurality of vehicles in radio frequency (RF) communication with each other, the network apparatus comprising: at least one first transceiver; at least one second transceiver configured to exchange RF signals with the at least one first transceiver; receiver circuitry configured to determine timing information from the acquired RF signals; memory storing information related to fixed distances between the at least one first transceiver and the at least one second transceiver; a processor coupled to the memory to access the stored information related to the fixed distances, and to the receiver circuitry to receive the timing information determined from the RF signals, the processor being configured to determine a relative position of the vehicle with respect to a receipt of the RF signals based on the stored information related to the fixed distances between each of at least three spatially separated antenna and on the timing informa

Abstract: An RF position tracking system for wirelessly tracking the three-dimensional position of a tracked object. The tracked object has at least one mobile antenna and at least one inertial sensor. The system uses a plurality of base antennas which communicate with the mobile antenna using radio signals. The tracked object also incorporates the inertial sensor to improve position stability by allowing the system to compare position data from radio signals to data provided by the inertial sensor.

Abstract: A package tracking system comprises a package room for holding packages intended for delivery to one or more package recipients, an optical sensing device positioned to capture one or more images of each package brought to the package room, one or more light sources, and a computing system including a processor, memory, and executable code stored on the memory. The processor executes the executable code to detect a presence and location of a given package held in the package room based on the one or more images captured by the optical sensing device and on package identification information relating to the given package. The processor further executes the executable code to cause the one or more light sources to shine on or near the given package in the package room to provide light-based guidance specific to the given package.

Abstract: A luggage tag includes an electronic ink display screen affixed to a surface of the luggage tag. Tag memory of the tag stores a unique identifier. An antenna receives an electromagnetic signal. Circuitry of the tag captures energy and acquires data from the electromagnetic signal received by the antenna and powers the electronic ink display with the captured energy. A processor receives the data acquired by the circuitry from the electromagnetic signal and produces an image on the electronic ink display using the acquired data if the acquired data includes a match to the unique identifier stored in the memory.

Abstract: Methods and systems for tracking a package within an area obtain package identification information from a scannable medium associated with the package and image information of the area acquired by an optical sensing device. Image processing detects the presence and location of an object in the area that matches the package based on a comparison of the package identification information obtained from the scannable medium with the image information of the area acquired by the optical sensing device. The package is registered as being present in the area at the location of the detected object in response to detecting a match between the object and the package.

Abstract: Methods and systems for tracking an object comprise a horizontal surface upon which objects are to be placed, a weight sensor disposed on one side of the horizontal surface, and a processor in communication with the weight sensor. The processor is adapted to detect a change in weight measured by e weight sensor, to associate the detected weight change with an identified object and with a location on the horizontal surface, and to confirm whether a cause of the weight change at the location on the horizontal surface corresponds to a proper handling of the identified object.

Abstract: A method of associating data with a physical location comprises receiving, by at least two receiver antennae, a radiofrequency (RF) signal transmitted by a mobile device, the RF signal conveying data collected by the mobile device from an external source; calculating, for each of the at least two receiver antennae, a phase of the RF signal received by each receiver antennae; calculating, based on the calculated phases, a physical location from where the mobile device transmitted the RF signal; and associating the data conveyed by the RF signal and the external source from which the data were collected with the calculated physical location from where the mobile device transmitted the RF signal.

Abstract: A package tracking system includes a package room for holding packages intended for delivery to one or more package recipients. One or more optical sensing devices are positioned to capture one or more images of each package brought to the package room and of each person handling that package at the package room. A computing system includes a processor and memory. The processor detects a presence and location of a given package held in the package room based on the one or more images captured by the one or more optical sensing devices and on package identification information relating to the given package. The processor produces a record of transactions involving the given package. The record includes the one or more images of the given package and of each person who handled the given package captured by the one or more optical sensing devices, and when each transaction occurred.

Abstract: A system and method of identifying and tracking objects comprises registering an identity of a person who visits an area designated for holding objects, capturing an image of the area designated for holding objects, submitting a version of the image to a deep neural network trained to detect and recognize objects in images like those objects held in the designated area, detecting an object in the version of the image, associating the registered identity of the person with the detected object, retraining the deep neural network using the version of the image if the deep neural network is unable to recognize the detected object, and tracking a location of the detected object while the detected object is in the area designated for holding objects.

Abstract: A luggage tag comprises an indicator; a thin tag body including a radiofrequency (RF) receiver configured to receive an RF signal transmitted by an RF transmitter and a processor in communication with the RF receiver and the indicator, the processor being configured to acquire information from the RF signal that is received by the RF receiver and to turn on the indicator in response to the information acquired from the RF signal; and a coupling unit for coupling the thin tag body of the luggage tag to luggage.

Abstract: A computer vision system for automatic identification, tracking and management of inventory and/or assets, wherein: the computer vision system is programmed with predetermined and configurable image data conditions that identify and capture certain types of movement; the computer vision system is programmed to constantly capture and process image data from one or more sets of sensors to detect the image data conditions; the computer vision system is programmed to trigger the process of identifying all objects and extracting label information from objects present in a field of view of the system if the image data conditions are fulfilled; the computer vision system processes the image data with one or more object detection algorithms and label detection algorithms and generate correspondences between objects and labels identified; and the computer vision system running change detection algorithms and semantic analysis to detect if any object was moved, removed, occluded and if any new objects were added in to