Abstract

A robotic door lock includes a lockable spinner having a spinner shell coupled to a bolt rail and an axial profile coupled to a door handle or knob. A processor selectively engages the spinner shell with the axial profile via an actuator to enable the manipulation of the bolt. The robotic lock has a wireless module, an actuator, and a processor in communication with the actuator and a wireless module. The wireless module uses a wireless energy harvester configured to receive energy from a user device or a post infrastructure to power the processor, the actuator and the memory. The wireless energy harvester may be connected to an internal energy storage.

IPC Classes  ?

• E05B 47/02 - Adaptation of locks, latches, or parts thereof, for movement of the bolt by electromagnetic means
• H02J 50/00 - Circuit arrangements or systems for wireless supply or distribution of electric power
• E05B 53/00 - Operation or control of locks by mechanical transmissions, e.g. from a distance
• E05B 55/00 - Locks in which a sliding latch is used also as a locking bolt
• E05B 73/00 - Devices for locking portable objects against unauthorised removal; Locking devices not provided for in other groups of this subclass
• G07C 9/00 - Individual registration on entry or exit
• H02N 2/00 - Electric machines in general using piezoelectric effect, electrostriction or magnetostriction

Abstract

An access control system for enabling access of an attendant to a customer account on a cloud application hosted on a cloud computing system includes a vision sensor coupled with the cloud computing system. The cloud computing system stores customer accounts, an access factorization rule, location-based endpoints, and a supervisor identifier. The system determines that the customer and attendant are at a first endpoint and determines a particular interaction between the attendant and the customer, then factorizes an access indicator and either permits access or denies access of the attendant to the customer account, and may form and send a message comprising a denial of access semantic to the supervisor.

Abstract

A flux sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic. Further, it positions the sensing device for receiving the input from a user in an optimal manner.

IPC Classes  ?

• G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
• G06F 40/30 - Semantic analysis
• G06N 5/04 - Inference or reasoning models

Abstract

A sensing system includes a sensor with a computing system and a memory in communication with the computing system, the memory storing a plurality of endpoints. The computing system is configured to receive activity preferences from a device at an endpoint and further determines the likeability of the activities at the endpoint. Further, it receives semantic identification preferences from the device in communication with the computing system and the system blurs the corresponding semantic identities based on the received preferences.

IPC Classes  ?

• H04W 88/02 - Terminal devices

Abstract

A monitoring system which includes a first sensor, a second sensor, at least one of the first sensor and the second sensor being a camera, a computer system coupled with the first sensor and the second sensor, and a memory associated with the computer system. The computer system is configured to infer a first association, from among the plurality of potential associations, between a first object of the first object type and a second object of the second object type by receiving an input from at least one of the first sensor or the second sensor, determining that the first object corresponds to the first object type and that the second object corresponds to the second object type based on the received sensor inputs, inferring the at least one specific interaction between the first object and the second object, the step of inferring occurring at a first time based on the received sensor inputs directed to a monitored space, and inferring the first association between the first object and the second object based on the determined first object type, the determined second object type, and the inferred at least one specific interaction. The inferred first association indicates that the first object carries or is in possession of the second object.

Abstract

A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.

IPC Classes  ?

• G01S 13/74 - Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
• G06K 7/10 - Methods or arrangements for sensing record carriers by corpuscular radiation