Abstract: A system and method for modeling and distributing image data of interest to users is disclosed. Users on user devices such as mobile phones send request messages for image data captured by surveillance cameras of the system. The request messages include information for selecting the image data, such as camera number and time of recording of the image data, in examples. In response, an application server of the system collects the image data from the surveillance cameras, and supplies image data to the users based on a model that the application server creates and updates for each of the users. The model ranks image data of potential interest for each of the users, where the model is based on the information for selecting the image data provided by the users. Preferably, a machine learning application of the application server creates the model for each of the users.

Abstract: Systems and methods for operating an EAS detection system. The methods comprise: detecting an Active Security Tag (“AST”) in an EAS detection zone; determining whether AST is coupled to an object identified in a list; and performing operations when a determination is made that AST is coupled to a listed object. The operations involve: accessing sensor data generated by at least one sensor device disposed on/near display equipment associated with the listed object; processing the sensor data to determine whether a person was within a defined distance range of AST during a period of time immediately preceding the detecting; concluding that a false alarm scenario exists when the sensor data indicates that a person was not within the defined distance range of AST during the period of time; and suppressing alarm issuance by the EAS detection system in response to the false alarm scenario conclusion.

Abstract: A security system comprises an access control node broadcasting a beacon including a time stamp and user devices generating replies to the beacon that are based on credential information for the user of the user device and the time stamp. The system relies on the users' wireless-capable mobile computing devices such as smartphones, tablets, or wireless fobs. A credential management system proves a system for the authentication of users and then issues security tokens as credential information to the users' mobile computing devices. These tokens are presented wirelessly by the devices to the security system's access control nodes, for example, where the access control nodes then decide whether to grant or deny access.

Abstract: A system and method for storing image information, such as video clips, across multiple storage devices of different business entities provides redundancy and off-site storage, but possibly without the costs associated with a traditional cloud storage system. In examples, a peer-to-peer arrangement is used. A user/customer accesses the image information via a web portal hosted by their business entity or the operator of the system or accesses the image information from a mobile device.

Abstract: Described are techniques that use an autonomous mobile unmanned machine that includes at least one sensor device suitable to verify an alarm condition. Upon assertion of an alarm condition message asserted as a result of a potential alarm condition existing within a facility, the machine receives a location of the alarm condition and is programmed with a route from a current location of the autonomous mobile unmanned machine to the location of the alarm condition. The at least one sensor device carried by the autonomous mobile unmanned machine collects sensor data at least at the location of the alarm condition and the machine sends to a system a message pertaining to status of the alarm condition.

Abstract: Systems and methods for controlling at least one security device based on the behavior of at least one tag. The methods comprise: generating sensor data relating to movement by at least one sensor disposed in a first tag; analyzing the sensor data to determine if an item to which the first tag is coupled is being handled in an unusual, abnormal or nervous manner; determining if an enterprise system has lost communicative contact with the first tag coupled to the item that is being handled in an unusual, abnormal or nervous manner; and causing an operational state of the security device to change in response to the loss of the communicative contact between the enterprise system and the first tag.

Abstract: A security tag includes a tag body and a cooperating tack assembly having a tack head and an elongated pin extending from the tack head, with the pin being insertable into the tag body to secure an article therebetween. One or more electronic components and associated electrical circuits, including wireless communications modules and various types of sensors, are disposed in both the tack head and tag body. The tack head includes a battery and an energy harvesting circuit. The tack head pin has one or more discrete conductive segments which, when the pin is inserted into the tag body, electrically couple with electrical circuits disposed in the tag body, thus allowing the components in the tag body to be powered at least in part by the battery and/or the energy harvesting circuit disposed in the tack head. Methods for operating the tag to perform security functions are also disclosed.

Abstract: Systems and methods for coupling a tag to an item. The methods comprise: dispensing the tag from a tag feeder of a tag applicator; performing first operations by the tag applicator to mechanically move the tag into a nest of the tag applicator; determining if a given criteria is met based on feedback information received from at least one of a user of the tag applicator and a sensor provided with the tag applicator; and performing second operations by the tag applicator to couple the tag to the item, when a determination is made that the given criteria is met.

Abstract: Systems and methods for operating an Electronic Article Surveillance (“EAS”) system. The methods comprise: detecting movement of a plurality of security tags in a facility using Radio Frequency Identification (“RFID”); identifying which security tags of the plurality of security tags are moving towards an exit of the facility or are in a surveillance zone; determining a number of the identified security tags that are coupled to unsold objects; comparing the number to a threshold value; and causing the EAS system to issue an alarm when the number is greater than or equal to the threshold value.

Abstract: Described are techniques for determining a quotation score that would be applicable across lines of insurance and/or carriers, and which involves the collection in real time of sensor information from plural groups of sensors deployed in a specific premises and associated with intrusion detection, access control, burglar, fire alarm systems and surveillance systems and/or other systems that monitor for physical/chemical/biological conditions. The techniques execute unsupervised learning models to continually analyze the collected sensor information to produce sequences of state transitions that are assign scores and from which a quotation score is produced.

Abstract: Systems and methods for operating a tag detacher. The methods comprise: receiving a tag body of a security device in a nest of the tag detacher; actuating a detachment mechanism of the tag detacher so as to cause a release of a tack assembly from a securement mechanism located within the tag body of the security device; allowing the tag body to travel out of a nest by at least rotating a portion of the nest so that the nest transitions between a home position and a pivoted position; and returning the nest to the home position when the tag body no longer resides in the nest.

Abstract: A security camera system includes a base unit and sensor modules for generating image data. The base unit includes several mounting sockets arranged at different elevational and azimuthal directions around the base unit, and the sensor modules attach, for example, magnetically, to the mounting sockets. The security camera system is capable of automatic detection of the location of the sensor modules, as the identification information for the mounting sockets to which the sensor modules are attached are identified by image analytics. A reference image depicting the security camera system or an area surrounding the security camera system is analyzed and the positions of the sensor modules are determined based on the reference image. In the latter example, the reference image includes markers designating points of reference visible to the sensor modules and is compared to image data generated by the sensor modules.

Abstract: Systems and methods for machine learning inventory management. The methods comprise: capturing images by a plurality of image capture devices of different types (e.g., visual camera, 3D camera and/or thermal camera); reading item identification codes for items represented in the images; and using at least a first portion of the images and known physical appearances of a plurality of items by a machine learning algorithm to learn relationships between the items represented in the images and the item identification codes. At least a second portion of the images are used to learn various types of information that is useful for inventory management (e.g., changes in inventory amounts for display equipment, changes in equipment cleanliness, changes in inventory packaging, item misplacements, etc.).

Abstract: A system and method for distributed analysis of image data in a video surveillance system can be deployed in households, businesses, and within corporate entities, in examples. The image data are processed on local video analytics systems located within the networks of the businesses or on remote video analytics systems hosted by a cloud service. To limit the data traffic imposed by the image data on the network, the system divides the image data processing into separate object detection and analysis functions. The system can also integrate the object detection function within the surveillance cameras or on a local gateway. This can significantly reduce the data traffic sent over networks as compared to current video surveillance systems and methods since only image data containing object of interest needs to be sent.

Abstract: Systems and methods for operating a Point Of Sale (“POS”) system. The methods comprise: performing operations by the POS system to machine learn at least information about a condition of an article to be purchased using at least one of imaging, sensing, and short range communications; determining by the POS system if the article is accepted for purchase based at least on the machine learned information about the condition of the article; and completing a purchase transaction by the POS system if a determination is made that the article is accepted for purchase. The POS system may also perform operations to deactivate a security tag coupled to the article or actuate a detachment mechanism of the security tag, if the article was successfully purchased during the purchase transaction.

Abstract: Systems and methods for determining an inventory. The methods comprise: placing an RFID tag in a first operational mode in which at least one communication operation or device of the RFID tag is disabled or bypassed; performing first operations by the RFID tag to determine when it is time to begin communications in accordance with the time slotted communications scheme; transitioning an operational mode of the RFID tag from the first operational mode to a second operational mode in which the communication operation(s) or device of the RFID tag is enabled or no longer bypassed, in response to a determination that it is time for the RFID tag to begin communications; and transitioning the operational mode of the RFID tag back into the first operational mode when the RFID tag's communications with a remote tag reader for inventory determination purposes are complete or a time slot has expired.

Abstract: This document describes a monitoring system for detecting conditions at a physical premises. The monitoring system can receive, by a computing system, from a video sensor system deployed at the physical premises, block-based encoded video data encoded with a block-based encoder in the video sensor system. The monitoring system can parse, by the computing system, the block-based encoded video data to extract from the block-based encoded data macroblock arrays that correspond to areas of a frame of video data. The monitoring system can reduce, by the computing system, the macroblock arrays to one or more data clusters. The monitoring system can apply, by the computing system, a pattern recognition algorithm to the one or more data clusters to detect patterns in the one or more data clusters.

Abstract: A mesh network-based environmental data capture system and method for providing communication between a base system having at least one wireless input capture device ICD(s) and other ICD(s), wherein the ICD(s) are capable of smart cross-communication with each other and remote access to their inputs via a server computer, including the steps of providing this base system; at least one user accessing the ICDs and inputs remotely via a user interface through a remote server computer and/or electronic device communicating with it, for providing a secure surveillance system with extended inputs range and wireless smart cross-communication for monitoring a target environment.

Abstract: Systems and methods for operating a tag. The methods comprise: actuating a telescoping actuator of the tag to transition a pin from an unengaged position in which the pin is retracted into a first portion of the tag's housing to an engaged position in which the pin extends through an insert space and into a second portion of the tag's housing; and mechanically securing the pin in the engaged position using a securement mechanism disposed in the second portion of the tag's housing. The pin is securely coupled to a movable component of the telescoping actuator so as to be integrated into the tag's body, and the first and second portions of the tag's housing are coupled to each other so as to form a unitary piece.