Abstract: Aspects of the present disclosure relate generally to a vision system that detects objects moving in an environment. The vision system detects objects that crossed a boundary of an environment during a first period of time, and determines a count of objects that crossed the boundary in a first direction. The vision system retrieves historical egress and ingress data for a second period of time corresponding to the first period of time. The historical egress and ingress data comprises a detected historic count of crossings in the first direction and a corrected historic count of crossings in the first direction. The vision system calculates an error rate for the second period of time based on a ratio of the detected historic count and the corrected historic count, and determines a corrected count for the first period of time by adjusting the count using the error rate.

Abstract: A flexible security tag includes: an elongated inlay portion; a loop antenna mounted on the elongated inlay portion; an electrically-conductive member longitudinally extending across the elongated inlay portion, spaced apart from and inductively coupled to the loop antenna; and a radio frequency identifier (RFID) circuit mounted to the loop antenna. The flexible security tag is encapsulated within an elongated textile protective sleeve.

Abstract: Example implementations include a method, apparatus and computer-readable medium for computer vision detection of a fall event, comprising detecting a person in a first image captured at a first time. The implementations further include identifying a plurality of keypoints on the person in an image, wherein the plurality of keypoints, when connected, indicate a pose of the person. Additionally, the implementations further include detecting, using the plurality of keypoints, that the person has fallen in response to determining that, subsequent to the pose being the standing pose in a previous image, the keypoints of the plurality of keypoints associated with the shoulders of the person are higher than the keypoints of the second plurality of keypoints associated with the eyes and the ears of the person in the second image. Additionally, the implementations further include generating an alert indicating that the person has fallen.

Abstract: The present disclosure relates to systems and methods for contactless checkout in a retail environment including a security pedestal located at an entrance or exit to a retail location. The system further includes a scanning device that is communicably coupled with the security pedestal. The self-checkout system and methods may also include a processing system that is configured to receive a list of items from the security pedestal and customer identification code from the scanning device. The system and method is configured to allow for a customer to scan his purchases at the security pedestal and pay for the purchases through the use of the customer identification code generated, preferably, using the customer's personal computing device.

Abstract: Example aspects include techniques for reducing false alarms caused by stray tags. These techniques may include determining, by a processor of an EAS system, a chatter score of a RFID identification of an RFID tag that generated a quantity of RFID readings above a predefined threshold at one or more RFID readers, and selecting, by the processor of the EAS system, the RFID identification based at least in part on the chatter score being below a chatter score threshold. In addition, the techniques may include determining, by the processor of the EAS system, that the RFID identification corresponds to a RFID tag in motion, and triggering, by the processor of the EAS system, an alarm based on a determination that the RFID tag identified by the RFID identification is not authorized to leave a controlled area associated with the one or more RFID readers.

Abstract: An RFID portal of an EAS system first interrogates a first zone extending into a controlled area beyond a threshold distance from an interrogating antenna of the portal. The portal defines an exit from the controlled area, the threshold distance being less than a width of the exit. The portal first detects, in response to the first interrogating, a first response of a particular RFID tag. The portal second interrogate, subsequent to the first detecting, in a second zone extending into the controlled area at least to the threshold distance. The portal second detects, in response to the second interrogating, at least one second response of the particular RFID tag indicating a received signal strength of the second interrogating at the particular RFID tag corresponding to a distance from an interrogating antenna of the portal less than the threshold distance. The EAS system alarms in response to the second detecting.

Abstract: Example implementations include a method, apparatus and computer-readable medium for generating a visual model of a uniform, comprising detecting a plurality of persons in one or more images. The implementations further include generating a sub-image depicting the respective person from the one or more images for each respective person of the plurality of persons. Additionally, the implementations further include identifying one or more articles of clothing worn by the respective person, executing at least one transformation that adjusts pixels of the sub-image such that the one or more articles of clothing depicted in the sub-image fit in a common template, calculating variance values between a plurality of transformed sub-images comprising the sub-image transformed by the at least one transformation and other sub-images generated for other persons in the plurality of persons and transformed by the at least one transformation, and generating a virtual model based on the variance values.

Abstract: Examples described herein generally relate to a system and method for tracking items. The system may detect an unauthorized removal of an item tagged with an active radio tag associated with an item identifier. The system may activate, in response to the unauthorized removal, tracking of the active radio tag, wherein after activation of the tracking, the active radio tag transmits the item identifier. The system may collect, at a database, the item identifier and location information indicating a location of the item when the item identifier was transmitted. The system may display the location information from the database for one or more items including the item.

Abstract: A security tag includes: an elongated inlay portion; an antenna mounted on the elongated inlay portion; and a radio frequency identification (RFID) circuit coupled with the antenna. The security tag may be encapsulated within an elongated textile protective sleeve. At least one of the elongated inlay portion, the antenna or the RFID circuit are adapted to dissolve in water.

Abstract: A method for configuring a sensor tag may include providing a flexible substrate layer comprising a thin film of thermoplastic polyurethane (TPU); depositing a sensor inlay on the flexible substrate layer; and applying a protective coating over the sensor inlay encapsulating the sensor inlay between the flexible substrate layer and the protective coating.

Abstract: The present disclosure relates to a system for determining anomalous behavior. The system comprises a processing device that is configured to generate first segmentation information and second segmentation information from the video feed, the first segmentation information corresponding to a first potential occupant and the second segmentation information corresponding to a second potential occupant. The processing device further configured to determine that the first segmentation information and the second segmentation information correspond to actual occupants based on the first segmentation information and the second segmentation information, and generate a first bounding box associated with the first segmentation information and a second bounding box associated with the second segmentation information.

Abstract: A system may be configured to generate real-time analytics using machine learning and computer vision. In some aspects, the system may receive a storage structure video frame and an interaction video frame, determine a storage structure inference based on the storage structure video frame, and determine an interaction inference based on the interaction video frame. Further, the system may determine that the storage structure inference and the interaction inference correspond to a common time period and common location, and generate analytics information based on the storage structure inference and the interaction inference.

Abstract: A bar code may be integrated with a product, and a management platform may be configured to: receive a query for the mode information of the RFID chip via the bar code, identify the RFID chip based on the bar code; and transmit an indication of a mode of the RFID chip. The bar code may include a two-dimensional code, a quick response (QR code), a three-dimensional code, and/or any graphical or visual machine-readable code.

Abstract: An electrical switch with a conductive bridge, a first wire configured to provide continuity with the conductive bridge, and a biasing member connected to the first wire. The biasing member provides a threshold reaction force to maintain continuity between the first wire and the conductive bridge. The switch further includes a housing that directs tensile forces acting upon the first wire to oppose a reaction force of the biasing member. When a tensile force acting on the first wire exceeds a threshold reaction force of the biasing member continuity between the first wire and the conductive bridge is broken.

Abstract: Example implementations include a method, apparatus and computer-readable medium for computer vision detection of dwell time, comprising receiving a plurality of indications of persons entering an environment over a period of time. The implementations further include adding, into a first-in-first-out (FIFO) queue, a respective identifier of a respective person entering the environment and an entry time for each of the plurality of indications, removing, from the FIFO queue, the respective identifier and the entry time of the respective person in response to an indication of an exit of the respective person from the environment at an exit time, calculating an estimated dwell time of the respective person based on a difference in the entry time and the exit time, and generating an alert based on calculating an average dwell time of the persons entering the environment over the period of time based on each estimated dwell time.