480 results about "Geolocation" patented technology

The present invention relates to an intelligent, context-aware battery management system embedded within a mobile device that dynamically allocates power resources based on real-time user behavior, system state, and environmental context. It incorporates a smart recognition engine that analyzes sensor-derived telemetry data to compute behavioral deviation scores, enabling the system to anticipate abnormal or emergency-prone conditions. A continuous activity classification module contextualizes user motion and geolocation to inform power policy decisions. Upon detecting significant behavioral anomalies or critically low battery conditions, an emergency mode subsystem is triggered, restricting device operations to essential functionalities while preserving energy for critical communication and navigation tasks. The system also establishes a secure, lightweight emergency communication tunnel for relaying essential metadata, including GPS and behavioral indicators, to predefined response servers.

The invention relates to the technical field of distributed computing and computing power scheduling, in particular to a computing power resource fusion method based on a distributed flow pipeline, which comprises the following steps of: disassembling a user computing power request into a flow pipeline unit for packaging computing logic, an input / output interface and a resource demand label; meanwhile, computing power types, real-time load rates, memory occupancy rates, network round-trip delays, geographic positioning and energy consumption data of cloud edge end nodes are collected, a hierarchical topology network framework is constructed based on the collected data, node computing power available values are calculated, an inter-node transmission cost matrix is generated, a fault probability prediction model is constructed, and a fault probability prediction model is constructed. And finally, analyzing a data dependency relationship of the pipeline unit through a four-dimensional joint decision engine, executing dynamic mapping, and preferentially mapping the high-computing-power demand unit to a GPU cluster node, so as to realize non-interruption reconstruction during pipeline topology operation. And the global computing power resource utilization rate, the task operation efficiency and the service stability are improved.

A system for multitask detection performs subject tracking by processing image frames from one or more video cameras deployed in a monitored environment. The system uses a neural network to detect human subjects in each frame and extracts feature sets for each subject. These features include a semantic center of the body and directional vectors extending to other body parts, such as the head or face, forming a subject-specific fingerprint. The system compares these fingerprints across frames to identify instances of the same subject over time. By correlating subject positions in image frames with the geolocation data of the capturing cameras, the system computes global coordinates for each subject. Using both the subject-specific fingerprints and spatial coordinates, the system determines trajectories of individuals, including transitions between camera views.

A method and system for cloud-based V2X for providing real-time broadcast of signal phase and timing (SPaT) data. An example method includes receiving SPaT data from one or more traffic signal controllers, processing the SPaT data by converting the SPaT data from an original format into one or more different formats, where the processing includes distributing a processing load over a plurality of docker containers using a grouping or clustering algorithm that takes into account a raw data arrival sequence from the traffic signal controllers, determining one or more nearest intersections based on geolocation of a client device, and transmitting processed SPaT data related to at least one of the one or more nearest intersections to the client device.

A threat management facility receives data from a variety of sources such as compute instances within an enterprise network, cloud service providers supporting the enterprise network, and third-party data providers such as geolocation services. In order to facilitate prompt notification of potential risks, the threat management facility may incrementally update data for use in threat assessments as the data becomes available from these different sources, and create suitable alerts or notifications whenever the currently accumulated data provides an indication of threat meeting a predetermined threshold.

The present invention relates to a system and method for generating lighting effects based on contextual data. The system includes one or more sources, including microphones, cameras, biometric sensors, environmental sensors, and digital feeds providing information including time, date, season, geolocation, weather, calendar events, or current events. A processor analyzes the contextual data to determine a contextual state associated with an ongoing event or user condition. The processor further identifies secondary trigger conditions through computer vision analysis of screen content, developer-scripted events, generative AI-derived cues, optical character recognition, gameplay events, or transformation of on-screen 2D or 3D visual regions. Based on the contextual or composite contextual state, the processor determines one or more lighting effects, which are then triggered on one or more output devices. This enables dynamic and contextually adaptive lighting responses to both real-world and digital stimuli.

The invention relates to the technical field of electric digital data processing, and discloses a power cable laying planning simulation method and system based on digital twinning, and the method comprises the steps: constructing a digital twinning space containing a power equipment three-dimensional model and a cable laying path model based on a real power system, and determining the geographic positioning information of the digital twinning space; generating an optimal laying path according to the cable starting point and terminal point positioning information; responding to an automatic planning instruction, and dynamically simulating a laying process in a twin space in combination with a safety verification rule; and meanwhile, a user is supported to manually edit a path and carry out safety distance verification in real time. According to the method, a compliant and efficient cable laying scheme can be automatically generated, the material consumption is accurately counted, and the design precision and the construction efficiency of electric power engineering are remarkably improved.

A method includes accessing a material database associating each of a plurality of materials with one or more corresponding resonance frequencies; for each material of at least a subset of the plurality of materials in the material database: transmitting, via an RF transmitter, an RF signal into a target at a first resonance frequency for each material; receiving, via an RF receiver, a response signal from the target; and analyzing the response signal for resonance characteristics that indicate a presence of each material in the target; generating a report of each material in the target indicated by the resonance characteristics; and integrating the report with at least one of: a timestamp; image or video data from a camera; or geolocation data from a geolocation sensor.

A method and system for evaluating cyber risk of an entity comprising a risk evaluation module configured to collect risk data on risks of cyber-attacks connected to SaaS, infrastructure, and legal regulations classified by geolocation, industry type, and size of the victim organization, an entity evaluation module for collecting vulnerability data on assets of the entity classified by industry type, geolocation, size and cyber threat vector vulnerabilities and a monetization engine configured to make an assessment of expected financial loss from a specified cyber-attack to an entity classified by geolocation, industry type, and size, based on the risk data.

A method includes presenting, within a display device of a computing system, a graphical user interface (GUI) comprising a map of an area of interest (AOI) of a cellular network. The method retrieves known geolocations within the AOI of subscriber devices and eliminates, for each site, one or more of the known geolocations that are beyond a threshold distance away from the site. The method clusters, for each sector of each site, remaining geolocations to identify a plurality of clusters of the remaining geolocations. The method determines, based on the clustering, a coverage polygon for each sector and determines, for each sector, a largest overlap portion of the coverage polygon of the sector with at least a second coverage polygon from neighboring sites to the sector, so as to determine how to resolve capacity-related issues with at least some of the sectors.

Methods and systems for managing operation of a data processing system are disclosed. To manage operation of the data processing system, a management controller of the data processing system may obtain location data for the data processing system and trusted device(s) using an out-of-band communication channel and determine a distance between the data processing system and trusted device(s). Based on the determined distance, the management controller may identify a security policy that may regulate operation of the data processing system by performing an action set to update operations of the data processing system.

Systems and methods are disclosed for dual, simultaneous, single-session, proximity-based, secure authentication of a Digital Assisted Shopping (DAS) representative and a customer in an unsecured remote location. The method includes installing a mobile banking application on the customer's device and an enterprise application on the DAS representative's device, both with biometric verification. Proximity detection using Bluetooth Low Energy (BLE) initiates a secure session via push notifications. A secure communication channel is established through a secure local handshake, involving encryption key exchange and mutual authentication. The system exchanges data related to customer profiles and financial accounts, continuously monitors geolocation using GPS, Wi-Fi, and cellular data, and performs periodic background biometric re-verifications. AI / ML algorithms analyze customer data to propose financial products and services, which are securely shared with the customer for review and selection. The system facilitates real-time enrollment and transaction processing, terminating the session upon detecting security breaches.

The invention relates to the technical field of target positioning, in particular to a cross-view object-level geographic positioning method and system based on heterogeneous space contrast loss, and the method comprises the steps: inputting a query image and a reference image into a geographic positioning model, and obtaining the position of a target object in the reference image in the query image through the geographic positioning model; according to the geographic positioning model, a double-branch pseudo-twin network is adopted to extract global features of an input query image and local features of a reference image, fusion features are focused on a local area of a target object in feature fusion through space attention, and the position of the target object on the reference image is output by generating a prediction frame. And the geographic positioning model adopts a heterogeneous space contrast loss constraint model training process. According to the invention, the method achieves the precise positioning of the position of the target of interest through combining with the fine-grained features in the image, effectively improves the cross-view object-level geographic positioning precision, and provides technical support and position information support for the application fields of urban planning monitoring, emergency rescue scheduling and the like.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

The invention relates to the technical field of computer vision and aviation safety, and discloses an airport clearance area unmanned aerial vehicle intrusion monitoring and positioning method based on improved YOLOv8n, and the method comprises the steps: constructing an improved YOLOv8n detection model, enhancing multi-scale feature fusion through integrating BiFPN at a neck network, and introducing an attention mechanism at a prediction head to improve feature selectivity; deploying the trained and optimized model at an intelligent sensing node, and detecting and acquiring pixel coordinates of the unmanned aerial vehicle in real time; the geographic coordinates and the attitude parameters of the nodes are fused, and the three-dimensional geographic coordinates of the unmanned aerial vehicle are calculated through space coordinate transformation in combination with a camera model and target prior information; and finally, intelligent alarm and visual display are realized. According to the method, the detection capability of the tiny unmanned aerial vehicle target under the complex background is effectively improved, an integrated solution from image recognition to precise geographic positioning is realized, and the method has the advantages of accurate detection, precise positioning and reliable system.

Systems and methods for location aware access are provided. A location aware access system comprises a card reader and at least one controller. The card reader obtains access credential from a card, generates a corresponding time stamp, ascertains location coordinates representative of a geolocation of the card reader when the access credentials were received, and provides the access credentials, the time stamp, and the location coordinates to the controller. The controller is configured to receive the access credentials, the time stamp, and the location coordinates corresponding to the geolocation of the card from the card reader. Further, the controller is configured to perform authentication of the card based on the access credentials, the time stamp, and the location coordinates corresponding to the geo location of the card, and trigger an unlocking mechanism corresponding to the card reader upon successful authentication of the card.

Various gaming tournament-related techniques and systems for providing for game-of-chance gaming tournaments are disclosed, including techniques relating to criteria-based award of plays and / or perks for use in a particular tournament. Unlockable tournament games and geolocation-based award of tournament benefits are also discussed.

The invention discloses an unmanned aerial vehicle cooperative operation method suitable for a water conservancy emergency monitoring scene, and the method achieves the global optimization of an inspection route and the balanced distribution of tasks under a multi-constraint condition through the full-link technology fusion of equipment integration, intelligent planning, precise collection, intelligent processing, spatial analysis and GIS visualization. And rapid identification and accurate geographic positioning of specific targets such as trapped persons, water body region segmentation and water line extraction provide accurate data support for emergency disposal. Meanwhile, virtual-real fusion of an unmanned aerial vehicle video stream and a GIS scene is realized through an image and real geographic coordinate matching technology, multi-dimensional data such as a target position, a waterline change and alarm information are visually superposed and presented, and by matching with view interaction and historical playback functions, emergency commanders can grasp the scene situation in real time, the decision difficulty is greatly reduced, and the emergency commanders can conveniently carry out emergency commanders. And the scientificity and efficiency of rescue scheduling and dangerous case disposal are improved.

A vehicle including a transceiver, a human-machine interface (HMI) and a processor is disclosed. The transceiver may be configured to receive information associated with a pick-up point of a user and a real-time geolocation of a user device associated with the user. The processor may be configured to obtain the information associated with the pick-up point from the transceiver, and determine that a predefined condition may be met based on the information associated with the pick-up point. The processor may further obtain the real-time geolocation responsive to determining that the predefined condition may be met. The processor may then output the real-time geolocation on the HMI.

The invention relates to the technical field of artificial intelligence, can be applied to financial science and technology business scenes, and discloses a tree species distribution analysis method, device, equipment and medium based on a remote sensing image, comprising: acquiring a remote sensing image of a target area to generate an image set carrying geographic positioning information, loading a tree species identification model to configure an offline environment, performing image preprocessing to generate a preprocessed image sequence, inputting the preprocessed image sequence into the model to complete crown detection and category classification to generate a tree species labeling result, performing spatial splicing and duplicate removal on the labeling result to form a tree species instance set, and summarizing categories and spatial positions based on the instance set to generate a tree species quantity statistical table and spatial distribution data; and packaging the result into an output data packet and outputting the output data packet through a service interface. According to the method, an off-line automatic process is established, so that errors and workload caused by manual sampling are reduced, efficient and accurate statistics of tree species distribution and quantity in a large-range forest farm is realized, and reliable data support is provided for business decision making.

A control system is provided for inventory management facility with a plurality of containers. The control system includes a server, and a container handler operable within the inventory management facility. The container handler tractor comprises onboard sensors configured to generate sensor data of at least one container of the plurality of containers, a geolocation device configured to generate a geolocation value for the at least one container, a wireless transceiver, and a controller coupled to the onboard sensors, the geolocation device, and the wireless transceiver. The controller is configured to transmit the sensor data and the geolocation value for the at least one container to the server. The server is in communication with the container handler and is configured to generate a database associated with the sensor data, the database comprising, for each container, a container logo image and the geolocation value. The geolocation value includes a latitude value, a longitude value, and an altitude value.

The invention discloses an unmanned aerial vehicle image intelligent perception plotting method and system based on view GIS fusion. The method comprises the steps that a sequence image of a target area is collected through an unmanned aerial vehicle platform; target detection, classification and tracking are carried out based on deep learning, and target pixel coordinates are identified; constructing an intelligent mapping model from a pixel coordinate system to a geographic coordinate system to realize geographic positioning of a target; precise space calibration is carried out on the illegal target; and in combination with space calibration, interactive plotting and visualization of target illegal behaviors are realized at a WebGIS end, and a structured law enforcement evidence packet is formed. According to the method, the POS data and the visual information are deeply fused, the dynamic projection plane estimation technology is adopted, the geographic positioning precision better than that of a traditional method is achieved, the method has obvious advantages especially in complex environments such as urban areas, and high positioning precision can be achieved.

The invention discloses a limited view field cross-view-angle geographic positioning method based on view enhancement contrast learning, and belongs to the technical field of computer vision, deep learning and geographic information. The method comprises the following steps: executing view enhancement operation on an original panoramic ground view and a panoramic satellite view to generate a multi-view sample set; extracting each view feature embedding vector through a feature encoder sharing the weight; constructing a composite optimization target based on an InfoNCE loss function, and optimizing a total loss function through bidirectional cross-view-field contrast learning and in-view-field contrast learning to obtain an optimized feature encoder; and inputting a new limited field-of-view ground query image into the optimized encoder to extract features, performing similarity comparison with the satellite image feature library, and determining a geographic position. According to the method, the difference between the field of view and the viewpoint is reduced through active view enhancement, the feature robustness is enhanced through multi-target contrast learning, the positioning challenge caused by the limited field of view and unknown direction is effectively solved, the positioning precision and robustness are remarkably improved, and the method is suitable for multiple fields such as automatic driving and robot navigation.

Systems, methods, and apparatus for geolocating a signal emitting device are disclosed. A monitoring array comprises at least four monitoring units. A distance ratio between the at least four monitoring units relative to a midpoint is determined. The at least four monitoring units are operable to scan independently for a signal of interest. The at least four monitoring units are operable to calculate times of arrival and angles of arrival for the signal of interest. Each of the at least four monitoring units is operable to measure the signal of interest and transmit a formatted message to other monitoring units within the monitoring array. Each of the at least four monitoring units is operable to determine a location of the signal emitting device from which the signal of interest is emitted based on calculations and measurements relating to the signal of interest.

The invention discloses a single-frame unmanned aerial vehicle image pixel positioning method and system based on an elevation map, and relates to the technical field of unmanned aerial vehicle image processing and geographic positioning, and the method comprises the steps: obtaining a single-frame original image shot by an unmanned aerial vehicle, unmanned aerial vehicle attitude information during shooting, camera internal and external parameters, and a digital elevation map of a shooting region; according to the internal reference of the camera, converting the pixel coordinate of the target pixel in the original image into a normalized plane coordinate system of the camera, and carrying out coordinate distortion correction to obtain the back projection point coordinate of the target pixel; converting a camera-unmanned aerial vehicle body coordinate system and a body-geographic inertial reference coordinate system according to camera external parameters and unmanned aerial vehicle attitude information to obtain normalized ray direction vectors corresponding to target pixels; an earth surface height constraint is constructed based on a digital elevation map, and an intersection point of a ray and the ground is determined by performing iterative approximation on a space point along a ray direction. According to the invention, rapid and accurate conversion from the single-frame unmanned aerial vehicle image pixel to the geographic coordinate can be realized.

The invention discloses a sky-base collaborative tower camera image high-precision positioning method, which comprises the following steps of: carrying out virtual squint projection on a satellite image based on a high-resolution satellite orthoimage of an area around a tower camera, and mapping the satellite image to a tower camera squint coordinate system; performing multi-scale phase fusion terrain enhancement feature extraction and cross-view matching on the satellite reference image and the tower camera image to obtain high-precision homonymy points and meter-scale control points; block adjustment and absolute positioning are carried out on a reference database image collected by a tower camera; and based on the positioned reference database, carrying out high-precision geographic positioning on the natural resource illegal behaviors. According to the method, high-precision positioning of the tower camera can be efficiently and automatically realized, the positioning efficiency of the tower camera image is remarkably improved, and protection of natural resources is facilitated.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

The invention provides a cross-view geographic positioning method based on biological visual perception, and belongs to the technical field of computer vision. Comprising the following steps: acquiring a ground view image and an aviation view image, and performing feature extraction; carrying out local feature modeling and global feature modeling on the ground image features and the aerial image features respectively, splicing the local features and the global features, and carrying out weighted fusion to obtain enhanced ground image feature representation and enhanced aerial image feature representation; further processing the enhanced ground image feature representation and the enhanced aerial image feature representation through a self-adaptive attention enhancement module to generate a self-adaptive attention enhanced ground image feature representation and a self-adaptive attention enhanced aerial image feature representation, and projecting the self-adaptive attention enhanced ground image feature representation and the self-adaptive attention enhanced aerial image feature representation into a shared feature space; and cross-view image matching and positioning are carried out by calculating the cosine similarity between the images. According to the method, a fusion strategy based on a bionic vision mechanism is adopted, and the feature expression ability and the matching precision of the cross-view-angle image are effectively improved.

The invention discloses a power transmission tower automatic identification and geographic positioning method and system based on satellite remote sensing and deep learning, and electronic equipment. The method comprises the following steps: S1, collecting a satellite remote sensing image containing a power transmission tower, and establishing a sample data set; s2, training a deep learning target detection model based on the sample data set; s3, automatically acquiring a satellite base map of the target area; s4, performing batch reasoning recognition on the satellite base map by using the trained deep learning target detection model, and performing duplicate removal on a recognition result by using a non-maximum suppression algorithm; s5, converting the pixel coordinates of the power transmission tower identified after de-weighting in the image into geographic latitude and longitude coordinates; and S6, mapping the geographic latitude and longitude coordinates to a base map of a public map for visualization. According to the invention, rapid, accurate and automatic identification and positioning of the power transmission tower are realized, and the problems of low efficiency of traditional manual inspection, difficult checking of power grid assets, lack of visual map bases and the like are solved.

A control system for controlling a charging system of a vehicle is described. Prior to initiating charging of a vehicle battery, the control system determines whether a current location of the vehicle corresponds to a stored geographical location, and if so retrieves charging settings associated with the geographical location. The control system then charges the vehicle battery in accordance with the retrieved charging settings. The retrieved charging settings are associated with the geographical location by a user via a user interface of a portable electronic device separate from the vehicle. In this way, it is possible to activate timed charging (for example) based on preidentified geolocation, and to automate switching between timed charging and immediate charging (for example) to provide a more user-friendly experience. With this technique, the major interaction required from the user is to set the preferences in advance for a particular geographical location (for example at the start of opting for timed charging), after which there is no mandatory user input required to initiate a charging session until and unless the user decides to change the charging behaviour. The technique can empower the user to have a more convenient experience, making the vehicle the enabler of charging sessions.