Position Imaging, Inc.

Narasimhachary Nallana Chakravarty

Edward L Hill

Brett C Bilbrey

Brian Martel

YiFeng Xiong

Guohua Min

Marc Bujold

Rafal Piotrowski

Mark Ibbotson

Drew Anthony Schena

John Liu

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 the system.

Computer vision system and method of label detection, reading, and registration of labels on objects

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.

Article-identification-and-location device systems and methods of using same

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.

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.

Video for real-time confirmation in package tracking systems

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.

Machine-learning-assisted self-improving object-identification system and method

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.

An apparatus comprises a mount body by which the apparatus is secured to a structure. A camera assembly includes an image sensor adapted to capture images within its field of view. A lighting assembly houses one or more light sources including a directional light source. A control-board assembly, fixed to the mount body, houses control boards including one or more processors configured to acquire information about an object, to associate a location within the field of view of the image sensor with the object, to point light emitted by the directional light source at the location associated with the object by rotating the lighting assembly and turning the laser assembly, and, based on an image acquired from the camera assembly, to detect change within the field of view of the image sensor corresponding to placement or removal of the object.

Computer-vision-based object tracking and guidance module

An apparatus for helping locate an item of interest in or near a building comprises an indicator and a body with a pair of pincers adapted to operate in opposition to grasp or be placed on or near the item of interest. The body houses a radiofrequency (RF) receiver configured to receive RF signals transmitted by an RF transmitter, and a processor in communication with the RF receiver and the indicator. The processor is configured to acquire information from the RF signals that are received by the RF receiver and to turn on the indicator in response to the information acquired from the RF signals.

Article-identification and location device systems and methods of using same

An apparatus comprises a mount body by which the apparatus is secured to a structure. A camera assembly includes an image sensor adapted to capture images within its field of view. A lighting assembly houses one or more light sources including a directional light source. A control-board assembly fixed to the mount body, houses control boards including one or more processors configured to acquire information about an object, to associate a location within the field of view of the image sensor with the object, to point light emitted by the directional light source at the location associated with the obj ect by rotating the lighting assembly and turning the laser assembly, and, based on an image acquired from the camera assembly, to detect change within the field of view of the image sensor corresponding to placement or removal of the object.

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Rollingsford, NH, United States of America

Narasimhachary Nallana Chakravarty