5754results about "Individual entry/exit registers" patented technology

The invention discloses an object searching method and system based on combination of a door lock and geographical relationship feedback, and the method comprises the steps: generating a local position information table containing a device ID and a position weight according to the RSSI signal strength of a Bluetooth label broadcast frame periodically received by the door lock; obtaining adjacent door lock IDs based on a topological relation pre-stored in the building information model, and obtaining a position information topological table synchronized in the whole network; according to the position information topology table, the voting weight value of each door lock is calculated by adopting a grading voting algorithm of a main vote right, a secondary vote right and a weak vote right, and a door lock voting result table is generated through vote accumulation; and in response to a Bluetooth equipment ID query request input by a loser, screening door locks with weights higher than a preset threshold value according to the voting result table, sorting the door locks according to the total number of votes, forwarding object searching instructions to a predetermined number of door locks with the highest number of votes, and triggering voice and screen display guide prompts. According to the embodiment of the invention, high-efficiency and low-delay object searching feedback can be realized, and the positioning precision and reliability are improved.

The invention relates to the technical field of security and protection management, in particular to a campus security and protection management system based on deep learning, which improves the accuracy and robustness of identity recognition by acquiring access control card numbers, face images or fingerprint features and generating standardized identity authentication data. And on the basis of a comparison result of the identity authentication data and the campus database, a behavior chain initialization identifier is generated, and accurate identity binding of the school entering personnel is realized. Furthermore, by collecting multi-camera image stream data, pedestrian re-identification and similarity calculation are executed by using a deep feature matching network, and a cross-camera continuous trajectory data set is generated. And matching the behavior track data set with the conventional path template to generate a behavior offset feature vector. And carrying out joint modeling on the behavior offset characteristics and the identity information through a graph neural network model containing an attention mechanism, and outputting a behavior purpose label and a risk grade score. And a graded security response instruction is generated based on the risk score, so that the missing report rate and the false report rate are effectively reduced.

The invention discloses a door lock and card cooperative processing method and system, and the method comprises the steps: triggering a robot calling process according to preset times of doorbell button operation detected by a first door lock and read neighbor RFID card information, verifying a matching result of an RFID card and a resident registration form, and generating an authority verification passing signal; calculating a target multicast address based on the ID number of the RFID card, and converting the ID number of the RFID card into a false source IP address to obtain a communication parameter set; sending an IGMPv3 report message to the router according to the communication parameter set; according to the triggering operation of the same RFID card detected by the assisted second door lock, an assistance multicast request message is generated, the (S, G) forwarding table item is matched through the router and forwarded to the first door lock, the first door lock sends an assistance confirmation message to the second door lock, and robot calling authorization is completed. By utilizing the embodiment of the invention, efficient, safe and low-delay cross-door-lock cooperative operation can be realized.

The invention discloses a multi-communication group fusion holding method and system for an intelligent door lock, and the method comprises the steps: building an independent multicast tree taking a feature vector as an identifier according to a communication group request initiated by each main control door lock; generating a multicast message containing a target communication group feature vector and a digital signature according to a merging request sent by the first master control door lock; according to feature vectors exchanged by the master control door locks of the two parties through a secure channel, a target master control door lock initiates feature interception registration, and negotiates and establishes a boundary feature tag rewriting rule; and according to the established forwarding path and the rewriting rule, the audio and video streams of the communication groups of the two parties are subjected to feature tag rewriting through the network boundary router, and then bidirectional intercommunication is realized. By utilizing the embodiment of the invention, the dynamic security isolation and seamless fusion of multiple communication groups can be realized, the network load and transmission delay are reduced, meanwhile, the terminal door lock can realize audio and video intercommunication without sensing the network address of the opposite end or changing the configuration, and the expansibility, the security and the user experience of the system are improved.

The invention discloses a door lock communication group decomposition method and system, and the method comprises the steps: encrypting and issuing a sub-feature vector to a local storage of a corresponding member door lock through a secure channel according to the sub-feature vector generated by a main control door lock and a binding relation between the sub-feature vector and the member door lock; generating a multicast message containing a target subgroup feature vector and a digital signature according to a splitting request sent by a main control door lock; according to the result of querying the local ARP table and the subgroup registry by the multicast router, determining the subgroup to which the door lock connected with each interface belongs, and registering the corresponding sub-feature vector for the corresponding interface in the multicast forwarding table; and according to a detection message sent by each sub-group master control door lock and a confirmation message of a member door lock, the multicast router identifies and removes sub-feature vector registration of an interface which is not associated with an effective door lock, and communication group decomposition is completed. By utilizing the embodiment of the invention, safe, reliable and interface-level refined door lock group decomposition can be realized, and the splitting efficiency and the communication safety are improved.

A semantic sensing analysis system comprising a processor, a memory and at least one sensing element having a plurality of stored semantic routes and / or semantic rules wherein the processor is configured to use semantic factorization to apply a quantifiable factor or indicator based on semantic inference or analysis which is inferred based on at least one of the stored semantic routes and / or semantic rules to cause the system to perform semantic augmentation towards a user in relation with an inferred semantic identity.

The invention discloses a multi-role grading access control method, system and device for a segment sliding electric door, and relates to the technical field of access control. The multi-role hierarchical access control method, system and device for the segment sliding electric door comprises the following steps: S1, collecting user access control data in the user identity verification and passing operation process, and carrying out data cleaning and normalization processing on the user access control data; s2, slicing the user behavior data in different time periods, extracting statistical characteristics, identifying abnormal modes, and carrying out quantitative analysis on the behavior state of the user; s3, collecting access control data in real time to construct a behavior sequence, evaluating the risk fluctuation amplitude and trend, judging the risk level and carrying out risk response; and S4, carrying out quantitative evaluation on risk response effects in different operation periods, dynamically adjusting safety response measures and regularly generating strategy optimization suggestions. The problem that in the prior art, traffic abnormal behaviors cannot be effectively recognized, and consequently a safety blind area exists is solved.

The invention discloses a collaborative anti-interference access control system based on face recognition, and belongs to the technical field of access control systems. The cooperative anti-interference access control system comprises a multi-mode sensing acquisition module, an image preprocessing and anti-interference module, a face recognition and living body verification module, a cooperative control and decision module, a remote management and iteration module and an access control execution module. According to the access control system, the working mode can be adjusted in real time according to environmental changes, the influence of various interference factors is effectively resisted, a more stable and reliable face recognition access control service is provided for a user, the complementarity of multi-source data can be fully utilized by the access control system, the collected target image is optimized and processed, and the user experience is improved. The influence of interference factors such as light and noise on the image is reduced, the reliability and the accuracy of data are effectively improved, and the anti-interference capability and the face recognition accuracy of the system in a complex environment are enhanced.

A system for self-executing enhanced interaction with a node-based logistics receptacle. The system includes a wireless accessory sensor node disposed on the node-based logistics receptacle to monitor storage receptacle components of the node-based logistics receptacle to generate sensor data. The system includes a bridge node disposed on the node-based logistics receptacle that uploads information related the sensor data, detects an external device separate from the node-based logistics receptacle, communicates with the external device to establish a smart contract based connection that provides an interaction privilege, interfaces with the external device according to the interaction privilege, and transmits an update message to the backend server that corresponds to at least a portion of the uploaded information related to the sensor data and information related to interfacing with the external device.

A parcel delivery security container includes a bottom panel, side panels, a lid, an electromagnetic lock assembly, an input device, a barcode scanner, a microprocessor, and a power source. The side panels are transverse to the bottom panel to form an open-ended compartment. The lid is pivotably connected to one of the side panels to selectively open and close the compartment. The electromagnetic lock assembly releasably locks the lid when closed. The input device is on an outer surface of the security container to permit a user to enter information. The barcode scanner is on an outer surface of the security container to scan barcodes on parcels. The microprocessor is operatively connected to the input device, the barcode scanner, and the electromagnetic lock assembly to control locking and unlocking thereof. The power is operatively connected to the input device, the barcode scanner, the electromagnetic lock assembly, and the microprocessor.

A dynamic learning server-based logistics system includes a node-based logistics receptacle operative to receive a delivery item as part of a logistics transaction and also includes a backend server maintaining a management profile related to operation of the node-based logistics receptacle. The node-based logistics receptacle includes a plurality of monitored receptacle components, a wireless accessory sensor node having a plurality of sensors, and a bridge node operative to retrieve event information from the wireless accessory sensor node. The backend server receives the retrieved event information, compares the retrieved event information with the management profile, identifies a threshold change condition from the comparison, dynamically revises the management profile when the threshold change condition is identified, and transmits an adjustment message to the bridge node. The adjustment message is based upon the revised management profile, and the adjustment message initiates a timing change to operation of the bridge node.

The invention discloses an access control equipment data management method and system based on multi-source fusion. The method comprises the following steps: collecting a multi-source access control data stream in real time; based on a preset feature extraction rule set, extracting a multi-modal biological feature vector, a voucher legality identifier, an abnormal behavior probability value and an equipment health degree index, and inputting the multi-modal biological feature vector, the voucher legality identifier, the abnormal behavior probability value and the equipment health degree index into a dynamic security assessment matrix generation model to generate a real-time security assessment matrix; matching the dimension safety score of the real-time safety evaluation matrix with a preset threshold strategy library, and dynamically generating an access control strategy instruction set; and issuing the access control strategy instruction set to the target access control equipment execution terminal. The method has the following advantages and effects: the fault tolerance bottleneck of a single-dimensional decision chain is broken through, and the system misjudgment rate is reduced by at least one order of magnitude on the premise of ensuring the security by establishing a dynamic coupling mechanism of the multi-source data stream.

The embodiment of the invention discloses a digital key ranging value filtering method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring ranging information of a plurality of UWB anchor points in real time; obtaining the position change trend of the digital key according to the distance measurement information; under the condition that the effective distance measurement value does not exist, a preset target position is obtained according to the positioning result corresponding to the moment t of the previous effective distance measurement value, the position change trend and the unlocking and locking state of the vehicle terminal, and a predicted distance is obtained according to the distance relation between the effective distance measurement value at the moment t and the preset target position; obtaining a prediction duration T according to the prediction distance; in the T, when an effective distance measurement value is not detected, state one-step prediction of a Kalman filtering algorithm is executed to obtain a filtered distance measurement value, and when the effective distance measurement value is detected, the state one-step prediction is terminated, and a filtering estimation value is obtained according to the Kalman filtering algorithm to serve as the filtered distance measurement value; and obtaining a positioning result of the area outside the vehicle according to the filtered distance measurement values of the plurality of anchor points.

The invention discloses a mutual cooperative door lock complementary acquisition method and system, and the method comprises the steps: extracting the structural feature data of a target person according to an event that a self door lock recognizes a non-white list person, generating an assistance request containing a target ID and the feature data, and transmitting the assistance request to an adjacent door lock; according to the assistance request received by the adjacent door lock, target feature matching is carried out, and after matching succeeds, a target video stream is collected and selectively coded; according to the time points when the target appears and disappears, generating an association starting pointer and an association ending pointer, and synchronously storing the pointers between the door locks; and analyzing the association pointer according to the playback request, and automatically starting stream playing of the association video streams of the plurality of door locks to realize multi-view synchronous display. By utilizing the embodiment of the invention, continuous automatic tracking and multi-view synchronous playback of cross-equipment target activities can be realized through active cooperation and data association between door locks, and the continuity and efficiency of security monitoring are improved.

A node-enabled logistics receptacle system with a deployable storage element for receiving and temporarily maintaining a delivery item. The system includes a storage receptacle with an entrance opening for receiving the delivery item and a deployable autonomous mobile container as the deployable storage element. A first node is mounted to the storage receptacle and includes a first node processor, a first node memory, a communication interface, and a plurality of sensors including an interaction sensor and a storage sensor. The first node detects a change in the state of the entrance opening, determines a current condition of what is presently maintained within the deployable autonomous mobile container, generates a deploy activation signal, and transmits the deploy activation signal to the deployable autonomous mobile container to initiate movement by the deployable autonomous mobile container from the host position within the storage receptacle to a position external to the storage receptacle.

A method includes detecting interaction by a user with an entry detector; collecting credentials from the user; and, if the credentials indicate that the user is authorized to enter, accessing a material database associating each of a set of materials with one or more corresponding resonance frequencies; and for each material of the set of materials: transmitting, into an environment associated with the user, an RF signal at a first resonance frequency for a material of the set of materials; receiving a response signal from the environment; analyzing the response signal from the environment for resonance characteristics that indicate a presence of the material; and in response to the presence of the material being indicated: determining whether an action is required for the material; and if the action is required for the material, actuating an access apparatus to perform the action.

The present disclosure generally relates to user interfaces for sharing and / or re-sharing an electronic key that is provisioned onto an electronic wallet of a computer system.

The vending machine system employs at least one biometric capture device or configured to capture biometrics of a person accessing the vending machine. The system monitors the vending machine to track usage and attempted usage of the vending machine. The system creates records and logs of usage and attempted usage of the vending machine. The system also generates alerts concerning usage and attempted usage of the vending machine. The records, logs, and alerts identify information concerning the usage and attempted usage of the vending machine, including the identity of the user, an image of the user / person, the location, and information concerning the transaction, such as the item to be dispensed.

The invention discloses a shopping method and system based on cooperation of a door lock and an unmanned supermarket, and the method comprises the steps: generating an improved multicast joining message according to shopping list information inputted by an owner on an intelligent door lock, and transmitting the improved multicast joining message to a preset multicast address, thereby completing multicast registration; according to an event triggered by face scanning after an authorized user arrives at the unmanned supermarket, the supermarket door lock generates a verification request message and sends the verification request message through multicast, identity verification is completed, and the supermarket door lock is opened; according to a payment request triggered after the authorized user selects and purchases the commodity, the payment machine generates a payment confirmation message and sends the payment confirmation message through multicast, and an owner confirmation interface is triggered; according to the payment confirmation operation of the owner, the door lock collects the payment two-dimensional code and sends the payment two-dimensional code to the payment machine, after payment is completed, the door lock sends a multicast leaving message, and the shopping process is ended. According to the embodiment of the invention, flexible cooperation of the door lock and the supermarket system can be realized, and the problems of convenient shopping and safety management and control in an offline scene are solved.

The invention discloses an intelligent campus access control system based on artificial intelligence, and the system comprises an intelligent sensing layer which is used for deploying an AI camera with a skeleton key point extraction function, an integrated RFID / NFC card reader, a two-dimensional code scanning module and an environment sensor, and extracting human skeleton key points in real time by adopting a posture estimation algorithm, multi-mode identity information and environment metadata are synchronously collected; the behavior understanding layer is used for constructing a space-time diagram model based on a space-time diagram neural network engine, taking skeleton key points as nodes, taking joint connection as space edges, connecting continuous frame space diagrams in series according to a time sequence to form a space-time diagram, learning a space relationship and a time evolution rule among the nodes by adopting a graph convolutional network, and completing behavior recognition, trailing detection and abnormal behavior distinguishing; the graph analysis layer is used for constructing a campus behavior knowledge graph based on the metadata tag library, and performing sub-graph mode mining by applying a graph neural network and a community discovery algorithm; and the decision and execution layer is used for configuring a grading early warning strategy.

The invention relates to the field of resource adaptive scheduling, and discloses an intelligent door lock control method and system based on deep learning, and the method comprises the steps: obtaining the system load, execution time, resource occupancy rate and other data, and obtaining the overall performance state description; according to the state description, a dynamic conflict quantized value is calculated, execution time deviation is evaluated, and a reasoning stage list needing to be adjusted is determined; extracting fluctuation trend characteristics based on historical records, and optimizing a resource allocation proportion to obtain an adjusted execution strategy scheme; judging whether the actual accuracy rate reaches the preset accuracy rate or not by applying the strategy scheme; if yes, the cycle interval duration of the self-adaptive control mechanism is determined; and scheduling the next monitoring process through the cycle interval duration, repeating the dynamic conflict evaluation, and dynamically regulating and controlling the execution strategy scheme. According to the method, real-time and self-adaptive allocation of computing resources of the door lock control system can be realized, dynamic conflicts are effectively solved, and millisecond response speed and recognition accuracy under high load are guaranteed.

The invention relates to a charging parking space intelligent occupation management linkage control method and system based on the Internet of Things, and belongs to the field of charging parking space management.The method comprises the steps that the state of a charging pile, the state of a parking space lock and occupation information are collected through Internet of Things equipment, and a dynamic parking space resource pool is constructed; based on knowledge graph semantic reasoning, matching parking spaces meeting vehicle type adaptation and available time periods, and combining historical late data of a user to set elastic reservation retention duration; the identity legality is verified by comparing the information of the reserved vehicle with the information of the actual parking vehicle; and when the charging pile is controlled to start charging and the parking space lock is unlocked, the block chain is synchronously associated to generate the transaction voucher, and the transaction record uploading is completed based on the voucher after the charging is finished, so that the technical effects of efficient matching and dynamic management of the charging parking space resources are realized.

The invention discloses a door lock collaborative identity recognition method and system, and the method comprises the steps: obtaining a locally stored MAC-face binding relation table according to face recognition verification completed by a resident through an intelligent door lock; according to the moving path of the resident from the floor entrance to the home door lock, identity recognition is completed through cooperation of multicast communication and the home door lock, an identity confirmation result is obtained, and a directional multicast network is constructed; according to a leaving event that a resident opens a door lock from a room, triggering a passing door lock to collect leaving person information, and obtaining a leaving person identity confirmation result; and selecting to send a unicast or multicast confirmation message by the own door lock according to the completion degree of identity confirmation of the leaving person, and triggering the passing door lock to send an IGMP leaving message to the router to obtain a simplified multicast forwarding table. According to the embodiment of the invention, seamless identity cooperation of the whole process from home returning to home leaving can be realized, and the automation degree of home security and protection and the user experience are improved.

The invention relates to the field of remote sensing unlocking, and discloses a differential positioning directional mistaken touch prevention remote sensing intelligent door lock device and a remote sensing unlocking method, and the device comprises an outdoor antenna which is used for receiving a signal in an outdoor preset effective range; the indoor antenna is used for receiving signals indoors; the Bluetooth receiving module is used for extracting an outdoor signal strength value and an indoor signal strength value; the PCBA control board is used for calculating a time difference value; when the real-time difference value is greater than a preset threshold value, determining that the transmitting end is outdoor; when the transmitting end is located outdoors and within a preset effective range, an unlocking instruction is sent out; and the door lock motor is used for executing the unlocking action of the intelligent door lock according to the unlocking instruction. The directional receiving design is adopted by the outdoor antenna, signals are received outdoors in a preset effective range, it is ensured that unlocking can be triggered only when the transmitting end is located in a specific area in front of the outdoor space, the problem of mistaken unlocking is avoided, and the safety of the door lock is improved.

Embodiments of the disclosed technology relate to improvements in location estimation and prediction for mobile devices while preserving energy. The use of classifiers is provided which preserves energy usage of the mobile device while providing contextually aware information for various stages. The use of a motion classifier and ranging in the context of access devices, the use of directional motion classifiers to reduce the latency in detection that a mobile device has entered a geofence area, and methods of improving location estimates and increasing geofence boundaries to prevent false exits from a geofenced area are disclosed.

The invention discloses a quick start-up control method of a face recognition intelligent lock system, which comprises the following steps: enabling the face recognition intelligent lock system to be in an ultra-low power consumption sleep mode in which only a trigger sensing unit is kept for power supply in a normal state, and when the trigger sensing unit detects that a person approaches, executing hardware-level quick wake-up processing of skipping a redundancy self-checking process on the system, entering a system wakeup initialization completion state to execute core module preloading and algorithm component ready processing of preloading a human face recognition core algorithm component on the human face recognition intelligent lock system, and entering a human face recognition module ready state to enable the core module to execute facial feature collection and compare with a local feature library; if the comparison is passed, a power supply self-holding circuit is triggered, and power supply self-holding and unlocking driving linkage processing of maintaining power supply of an unlocking driving unit to complete unlocking and cutting off a power supply of a face recognition unnecessary module is executed on the face recognition intelligent lock system, so that the face recognition intelligent lock system enters a dormant state of unlocking completion and system low consumption.

The invention discloses a quality control and real-time supervision system for pile foundation concrete, which comprises a data storage unit and a man-machine interaction terminal, and is characterized by further comprising a supply and demand matching module, a detection distribution module, a quality monitoring module and a plurality of detection units bound with unique detection numbers. Through automatic supply and demand matching of a pile foundation project and a stirring station and random distribution of the detection units, bidirectional real-time detection of delivery and entry of concrete can be realized to prevent unqualified concrete from flowing into a pile foundation construction site, and meanwhile, automatic judgment and sending of different warning information can be realized, so that the construction efficiency is improved. Therefore, different responsible subjects can be reminded to check the quality safety risk of the concrete in time and take corresponding control measures.

The invention relates to an abnormity monitoring method for an intelligent door lock, which comprises the following steps: establishing communication connection with a plurality of user terminal devices, acquiring terminal information of each user terminal device, calculating a comprehensive evaluation value corresponding to each user terminal device according to the terminal information, and compensating the abnormity of the intelligent door lock based on the comprehensive evaluation value and a preset compensation mechanism. Determining current main communication equipment and auxiliary communication equipment; when an abnormal event is detected, pushing corresponding abnormal alarm information to a user through the current main communication equipment, and continuously monitoring whether the abnormal alarm information completes response or not; and if the abnormal alarm information is not responded within the preset time, re-determining a new main communication device in the auxiliary communication devices. Through real-time state perception and comprehensive evaluation of the plurality of user terminal devices, the optimal main communication device and auxiliary communication device can be dynamically determined, so that alarm information can be timely and effectively pushed to a user when an abnormal event occurs, and the reliability of abnormal response is improved.

The invention provides a keyless entry system calibration method and apparatus, an electronic device and a medium. The method comprises the steps of determining a first region and a second region according to a to-be-calibrated function of a target antenna, a first field intensity threshold and a second field intensity threshold; the first field intensity threshold value is greater than the second field intensity threshold value; the second area comprises the first area; based on the position of the key in the expansion area, determining a first field intensity measurement value and a second field intensity measurement value corresponding to the position; the first field intensity measurement value is the field intensity measurement value of the key relative to the target antenna, and the second field intensity measurement value is the field intensity measurement value of the key relative to at least one other antenna on the vehicle; the expansion area is an area which is in the second area and is not in the first area; determining a judgment rule set according to the to-be-calibrated function; and determining a target field intensity threshold value corresponding to the to-be-calibrated function according to the judgment rule set, the first field intensity measurement value and the second field intensity measurement value.