Abstract: Methods and system for monitoring and assessing employee moods are disclosed. A proposed enterprise employee monitoring system includes surveillance cameras, a facial recognition module, an emotional analyzer module, and an employee database. The surveillance cameras capture image data including employee individuals within the enterprise. The facial recognition module identifies the individuals in the image data, and the emotional analyzer module determines an emotional state of the individuals based upon the image data. The employee database stores employee information and the emotional state information from the emotional analyzer module, based upon the identification performed by the facial recognition module.

Abstract: Systems and methods are disclosed for identifying a person of interest exiting or entering an establishment. In an example, the system may derive a confidence factor that for an individual exiting an establishment based on image recognition and device identification technologies when the individual when a security event, such as an alarm, is set off. The system may also identify an individual entering an establishment as a person of interest based on the confidence score by using the same technologies.

Abstract: An EAS system first transmits a radio frequency identification (RFID) interrogation signal into an RFID interrogation zone of an EAS system. The system then first receives at least one RFID response signal from a first RFID tag of the system responding to the interrogation signal. The system second transmits a non-RFID RF signal into a second zone. The second zone and the RFID interrogation zone overlap to form a zone of interest. The system second receives, from the first RFID tag, an indication that the first RFID tag received the second transmission. The system determines, based on receiving both the RFID response signal from a first RFID tag and the indication that the first RFID tag received the second transmission, that the first RFID tag is in the zone of interest.

Abstract: Systems and methods for operating a marker that involve receiving, by a Radio Frequency Identification (“RFID”) element of the marker, an RFID deactivation signal; and responsive to the RFID deactivation signal, supplying power to a detuner element of the marker so that the detuner element switches from a first state to a second state. The marker's resonant frequency is changed to a first value that falls outside of an Electronic Article Surveillance (“EAS”) systems operating frequency range when the detuner element switches from the first state to the second state.

Abstract: Example implementations include a method, apparatus and computer-readable medium for person detection by a computer device, comprising receiving a plurality of video frames from a camera located in an environment, wherein the video frames include a depiction of a person in the environment. The implementations further include identifying attributes of the person from the video frames and comparing the attributes with attribute entries in a database of suspicious persons, wherein the database of suspicious persons includes attributes of a plurality of persons associated with an alert in the environment. The implementations include retrieving a profile indicative of an alert history of the suspicious person in response to determining a match between the attributes of the person and an entry in the database corresponding to a suspicious person, and transmitting, to a second computer device, the retrieved profile and a notification that indicates that the suspicious person is in the environment.

Abstract: Aspects of the present disclosure relate generally to a vision system that detects persons exiting an environment, comprising detecting, by a processor using a plurality of image frames from at least one sensor, persons that exited the environment during a first period of time. The vision system further determines, by the processor, an exit count for the first period of time and retrieves, from a database, historical egress data comprising a detected historic exit count and a corrected historic exit count of the environment for a second period of time corresponding to the first period of time. The vision system calculates an error rate for the second period of time based on a ratio of the detected historic exit count and the corrected historic exit count, determines and stores a corrected exit count for the first period of time by adjusting the exit count using the error rate.

Abstract: A method for securing a security tag into an article of clothing includes positioning an end of the security tag into a first opening to an interface space between two layers of the article of clothing. The two layers are fixedly connected by one or more opposing connectors that are spaced apart in a manner to form the interface space sized to receive the security tag. The security tag is fully moved into the interface space. Also described herein is a security tag specially configured for placement into the interface space between two layers of the article of clothing.

Abstract: Example aspects include methods, apparatuses, and computer-readable medium for receiving, by an antenna of a tag tracking/detection system, a tag signal of a tag in the tag tracking/detection system; determining, based on a strength or pattern of the tag signal, whether the tag signal comprises a reflected signal that is reflected by one or more reflective surfaces, wherein the one or more reflective surfaces are configured to focus tag signals of tags in a target location of the tag tracking/detection system toward the antenna of the tag tracking/detection system; and generating an output signal responsive to the tag signal comprising the reflected signal that is reflected by the one or more reflective surfaces, wherein the output signal is indicative of the tag being detected in the target location.

Abstract: A system may be configured to perform enhanced detection of occluded objects in a multiple object detection system. In some aspects, the system may determine a first size of a queue captured in a video frame based on an object detection system and a video capture device, and determine a second size of the queue based on the first size of the queue and a correction model. Further, the system may detect a person at a front of the queue based on an object tracking system, determine a first period of time spent by the person at the front of the queue based on an object tracking system, and estimate a second period of time spent in the queue based at least in part on the first period of time and the second size of the queue.

Abstract: Aspects of the present disclosure provide techniques that utilize artificial intelligence (AI) to preemptively identify and prioritize risks for retailers from shrink loss. Specifically, features of the present disclosure provide actionable prescriptions to prevent shrink based on the output of a hybrid machine learning (ML) system that accurately identifies shrink risk factors and implements a cost-effective shrinkage control plan to reduce the retail theft. The shrinkage control plan may then be displayed to the user on a display device (or user interface) in order to allow for the user (e.g., store manager) to implement the recommendations developed by the recommendation engine.

Abstract: Systems and methods for operating a security tag. The methods comprise: receiving a first wireless signal transmitted from a transmit circuit using a receive circuit of the security tag; inducing a voltage in the receive circuit of the security tag while the first wireless signal is being received; performing operations by the controller to selectively close a switch when the voltage is being induced in the receive circuit; and causing a release of a mechanical component of the security tag by allowing energy to flow from the receive circuit to the mechanical component when the switch is closed.

Abstract: Deploying at each transition between separate areas of a facility a plurality of RFID reader antennas. Each antenna is deployed at a given transition covering a span of the given transition from a different perspective such that each point in the span is covered by at least two antennas. The antennas of a first transition between a first area and a second area of the separate areas detect, and in combination with an RFID system in communication with the antennas of the first transition, a tag known to have been in the first area. The RFID system identifies an item associated with the detected tag as moving to the second area. The antennas of a particular transition of the second area subsequently detect, in combination with the RFID system in communication therewith, the tag, and identifying the detected item as leaving the second area for an area across the particular transition.

Abstract: Techniques for distinguishing objects (e.g., an individual or an individual pushing a shopping cart) are disclosed. An object is detected in images of a scene. A height map is generated from the images, and the object is represented as height values in the height map. Based on height properties associated with another object, it is determined whether the other object is associated with the object. If so determined, the objects are classified separately.

Abstract: Apparatus and methods for self-checkout at a retail establishment includes receiving, by a sensor gate and from a payment processing device, purchase transaction information related to a purchase by a customer. The sensor gate scans customized label attached to each article possessed by the customer located in a surveillance zone of the retail establishment. The sensor gate compares information contained in the customized label with the received purchase transaction information.

Abstract: Apparatus and methods for processing video surveillance data includes training a data repository, using a first plurality of surveillance video files including a first plurality of video frames, to identify macroblocks of the video frames representing average content of the first plurality of surveillance video files. An ordered data structure is generated by sorting the plurality of macroblocks of video frames based on image differences within the plurality of macroblocks. The ordered data structure includes a root node. A second plurality of surveillance video files including a second plurality of video frames is received. The second plurality of video frames is inserted into the generated ordered data structure. References to the generated ordered data structure are stored in the data store for each frame of the second plurality of video frames along with a difference between corresponding video frames and references.

Abstract: Example aspects include techniques for building a ML model in a use case with prohibitive training data and employing the ML model within the use case. These techniques may include determining training information including a plurality of stray training reads and a plurality of valid training reads, determining modified training information based at least in part on modifying the plurality of valid training reads, and generating a model for distinguishing a valid read from a stray read based on the modified training information and an evolutionary algorithm. In addition, the techniques may include detecting, by a monitoring device, a plurality of tag reads in response to a plurality of interactions between a tag and the monitoring device, and determining, by the monitoring device, a plurality of valid tag reads based on the model and plurality of tag reads.

Abstract: Disclosed herein are apparatuses and methods for detecting a slip, trip or fall event in an environment and sending an alert of the event. An implementation may comprise detecting, in image frames captured by a camera, when an object enters a region of interest, tracking movements of the object, and determining that the object is in a fall-zone. The fall-zone may be specified by a set of line segments, each line segment being defined by points that lie in the region of interest. The implementation may further comprise, when the object is in the fall-zone, recording the position of the object, detecting a slip, trip or fall event when the object transitions from a first position above a predetermined height threshold to a second position below the predetermined height threshold, a pose of the object indicates that the object is lying down, or the object transitions from a vertical to horizontal pose, and sending the alert.

Abstract: A system may be configured to implement a probability network for loss prevention sensors. In some aspects, the system may determine a location transition of a tag associated with an article, determine a first predictive value based at least in part on a first predictive structure and the location transition, the first predictive structure corresponding to a valid detection alarm, and determine a second predictive value based at least in part on a second predictive structure and the location transition, the second predictive structure corresponding to an invalid detection alarm. Further, the system may generate a notification based at least in on part on comparing the first predictive value to the second predictive value, the notification indicating unauthorized movement of the tag outside of a geographic area.

Abstract: The present disclosure relates to security tags for an electronic article surveillance system deployed in a retail environment. The security tag is a single piece security tag that comprises a tack housing and a tag housing connected by a beam. The beam is enabled to house one or more antenna elements that is electrically connected with one or more electronic components housed within the tag housing. Alternatively, one or more antenna elements can be housed within the tack housing, wherein engagement of the tack housing with the tag housing enables the one or more antenna elements to receive electrical signals from the one or more electronic components via a tack.

Abstract: A system may be configured to perform enhanced detection of occluded objects in a multiple object detection system. In some aspects, the system may detect a plurality of current objects in a current video frame, generate initial object identifier mapping information assigning a candidate object identifier to a first object of the plurality of current objects, and detect a multi-object tracking (MOT) inaccuracy condition. Further, the system may generate a current fingerprint corresponding to the first object of the plurality of current objects, identify an assignment error based on comparing the current fingerprint to historic fingerprints associated with a plurality of historic objects detected in a previous frame, generate updated object identifier mapping information based on the assignment error, and displaying the current video frame based on the updated object identifier mapping information.