397 results about "Location tracking" patented technology

The invention relates to the technical field of position tracking, in particular to an intelligent bracelet real-time position tracking visualization method and system. The method comprises the following steps: acquiring multi-dimensional sensing monitoring parameters of a user based on a smart bracelet, performing real-time motion state evaluation of the user, and performing adaptive adjustment of a position acquisition frequency to generate an adaptive position acquisition frequency; performing real-time position positioning acquisition based on the adaptive position acquisition frequency, and performing frequency-by-frequency spatial position positioning calculation to obtain a high-precision compensation reconstruction trajectory; the method comprises the following steps: acquiring public electronic map information, performing scene key element identification, and performing key attribute cognitive marking to obtain a plurality of scene attribute memory anchor points; and performing relative position distribution analysis on the high-precision compensation reconstruction trajectory based on a plurality of scene attribute memory anchor points, and constructing an anchor point space trajectory visual mapping graph. According to the invention, high-precision real-time position tracking of the user is realized, and clear and visual multi-level map information rendering is presented.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

The invention discloses a general cargo transportation background business management system and method and electronic equipment, the system comprises a data acquisition module, an information management module, a position tracking module and a scheduling management module, and automatic acquisition of cargo position, attribute and safety inspection information is realized through an integrated sensor, an RFID tag technology and an image identification device; the GPS positioning and local wireless network complementary correction technology is utilized to break through the positioning precision limitation in the indoor and outdoor complex environment; based on a distributed database and a real-time data processing engine, high-concurrency query and dynamic information updating are supported; in combination with cargo state and position data, an optimization scheduling instruction is generated through an algorithm, empty driving waiting of loading and unloading equipment is reduced, the method covers intelligent scheduling processes of multi-source data acquisition, standardized processing, real-time tracking and cloud driving, full-life-cycle automatic management of cargos is realized, and electronic equipment realizes full-life-cycle automatic management through a software and hardware collaborative architecture. An existing port management system is compatible, and deployment cost is reduced.

The invention relates to a neural network-based adaptive control method for a vehicle formation system. Compared with the prior art, the method solves the defects that a complete target trajectory cannot be known in advance due to the influence of an actual environment and the control direction is unknown due to the unstable state of a vehicle engine. The method comprises the following steps: acquiring tracking data of a vehicle formation system; establishing a dynamic model of the vehicle formation system; establishing an error equation; designing a nusturb type function; designing a radial basis function neural network architecture; designing a GRNN training set and an evaluation index for trajectory reconstruction; designing an event trigger function of an actual controller of the system; carrying out self-adaptive control on the vehicle formation; and controlling the vehicle formation with an unknown target trajectory and an unknown control direction. According to the method, a neural network (NN)-based adaptive control architecture is adopted for a vehicle formation system (VPSs), a real-time trajectory can be predicted online by using a GRNN based on historical data of a target trajectory, and an unknown nonlinear term in the system is compensated, so that the position of a vehicle tracks the predicted target trajectory.

The invention belongs to the technical field of computer vision and artificial intelligence, and particularly discloses a video target tracking method and device, a medium and equipment, and the method comprises the steps: synchronously obtaining an infrared image and a visible light image which comprise a to-be-detected target; the infrared image and the visible light image are preprocessed; constructing a to-be-detected target tracking model, and training the model; and inputting the preprocessed infrared image and visible light image into a trained to-be-detected target tracking model so as to carry out identification and position tracking on a to-be-detected target. According to the invention, high-precision, high-robustness and high-continuity position tracking of the to-be-measured target in a complex environment can be realized.

The real-time location tracking of workers on a transportation vehicle using a wearable sensor and wireless stations. Embarkment of workers on the transportation vehicle may include capturing an image of an identification document and performing optical character recognition on the document. The embarkment of workers may also include scanning a worker's wearable sensor using a sensor reader and capturing an image of the face of the worker using a camera on the transportation vehicle. The communication between the wearable sensor and wireless stations may be monitored, and the absence of communication over at time period used to indicate a missing worker.

An autonomous advertising cart with display panels and speakers integrated into its navigation, movement and location tracking system. The cart displays advertising containing text, picture and video images, and speakers play sounds, music or other recordings. The cart selectively provides advertising communications depending on the items on the cart, where the cart is in the building, the time of day, the presence of people, etc., as the autonomous cart travels through its work environment. The advertisements are stored on-board the cart or received real-time via wireless communication. The cart preferably has microphones and customer observation cameras to collect real-time information about the working environment and customers to enhance the advertising experience and provide feedback about the advertising experience.

The invention discloses a finite time position tracking and synchronous control method and device and a medium, and belongs to the technical field of dual-motor drive servo system control. The method comprises the following steps: constructing a dynamic model of the dual-motor-driven servo system; position tracking errors, speed synchronization errors and acceleration synchronization errors are defined, speed and acceleration states serve as cross feedback variables to be input into the dynamic model, and error signals are generated; introducing a filter and a compensation item through a preset dynamic surface control algorithm to generate a virtual control signal; constructing a finite time adaptive controller based on the error signal and the virtual control signal, and generating a motor control input signal; and estimating and compensating parameter uncertainty and nonlinear gap disturbance of the dual-motor-driven servo system in real time so as to update parameters of the adaptive controller. By means of the method, the technical effects of high-precision position tracking, dynamic synchronization and high-robustness control can be achieved in the dual-motor drive servo system.

The bolt is an important connecting fastener in important equipment of a train, the intelligent detection method and system for the train bogie bolt are provided in consideration that the bolt is a small part and the tightness state of the bolt on the train needs to be detected, and a visual detection system and a position tracking system are constructed and carried on an inspection robot. The method is used for monitoring the train number of a train, monitoring the position of a bogie in real time, positioning a bolt and finally carrying out abnormity detection on the bolt based on the improved YOLOv8. The method comprises a system triggering module, a position tracking module, a visual positioning module, an image data acquisition module, a data storage and transmission module and a YOLOv8 improvement module. For the visual part, a binocular high-precision industrial camera is used for carrying out image data acquisition on the train bogie bolt, processing the image data, and transmitting the image data to the improved YOLOv8 for detection; the method is suitable for rail train bogie bolt anomaly detection, point cloud processing and image processing are combined, the detection efficiency is high, and the detection result is accurate.

According to certain embodiments, an electronic device comprises: a communication module configured to perform wireless communication, a location sensor, a processor, and a memory configured to store at least one instruction executable by the processor, wherein execution of the at least one instruction by the processor causes the processor to perform a plurality of operations comprising: receiving, from a tracking target device, a tracking request signal, the tracking request signal comprising identification information of a tracking target device via the communication module, obtaining location information of the electronic device via the location sensor, and transmitting, to a location tracking server, the identification information of the tracking target device and only one of latitude information and longitude information comprised in the location information via the communication module.

An electronic device includes a device housing configured as a cover for an electrical box, a power adaptor to receive power from components within the electrical box, and an ultra-wideband component powered by the power adaptor. The ultra-wideband component communicates with at least one electronic device to perform an ultra-wideband ranging process. A method involves capturing images of another electronic device within the environment, determining the location of the other electronic device using ultra-wideband ranging, creating a visual depiction of the environment and the device's location, and presenting this depiction on a user interface. The system enhances smart home applications by integrating ultra-wideband technology into light switch and outlet covers, providing precise location tracking and continuous operation without battery replacements.

Disclosed herein are methods and systems for using artificial intelligence modeling techniques to generate a path for an ego. In an embodiment, a method comprises retrieving image data of a space around an ego, the image data captured by a camera of the ego; predicting by executing an artificial intelligence model, an occupancy attribute of a plurality of voxels corresponding to the space around the ego; generating a 3D model corresponding to the space around the ego and each voxel's occupancy attribute; upon receiving a destination, localizing, by the processor, the ego by identifying a current location of the ego using a key image feature within the image data corresponding to the 3D model without receiving a location of the ego from a location tracking sensor; and generating a path for the ego to travel from the current location to the destination.

A backpack system includes a main body having a plurality of sides that define an interior space. The main body is constructed from a watertight and transparent material, and includes a disposable face mask pocket along one side. A first shoulder strap includes a pocket for storing and dispensing moist sanitizing wipes, and a second shoulder strap includes a pocket for storing a bottle of sanitizing solution having a pump-style dispenser. At least one light and a camera system is disposed along the main body. The camera system includes a digital camera, a speaker and a microphone. A system controller includes a location tracking module and a wireless communication unit. A mobile application communicates with the communication unit to receive audiovisual information and performs two way voice and video communications.

The invention relates to the technical field of mechanical position servo control, and solves the problem of seeding depth fluctuation caused by position response lag and linear compensation failure of a traditional profiling mechanism. The method comprises the following steps: acquiring curvature characteristics of a front terrain through a terrain detection sensor, and predicting vertical displacement offset of a ground contact point by combining structural parameters and speed of an execution mechanism; generating a drive actuator feed-forward position instruction based on the offset and a preset depth target value; a cutting edge load disturbance value is collected in real time, and output thrust (hard soil area nonlinear thrust increasing / soft soil area stepped thrust decreasing) is corrected in a graded mode according to the discrete disturbance gradient; and the position of the actuator is dynamically adjusted by combining ditching depth feedback. Through double closed-loop control of terrain-position feedforward and resistance-position feedback, independent pre-judgment and accurate position tracking of the mobile platform on the surface micro-terrain are realized, so that position output is consistent with a position target value.

Embodiments of the present invention provide a trackable device system comprising a modular housing integrated with personal or enterprise assets. The system includes a chipset with wireless communication modules (e.g., BLE, UWB, GPS, or cellular), a processor, location modules, memory, and power management components. The processor supports proximity detection, geofencing, motion-triggered alerts, lost-mode activation, and SOS signaling to emergency contacts. Integration with mobile platforms enables real-time tracking, augmented reality overlays, and compatibility with networks like Apple Find My™ and Google Find My Device. Security features include encrypted memory, tamper detection, secure pairing, and a secure enclave for sensitive data. In enterprise settings, the system supports blockchain-based inventory logging, role-based access, and RFID / NFC inventory control. The device adapts to diverse form factors and deployment scenarios, ensuring reliable location tracking, anti-tamper protection, and secure asset management for consumer, industrial, and institutional applications.

The invention discloses a high-rise building fire monitoring system and method based on a distributed sensor, and relates to the technical field of intelligent fire fighting, and the method comprises the steps: carrying out the clustering through a K-means algorithm, carrying out the optimization through chaotic mapping, carrying out the feature extraction through SPIHT, carrying out the fuzzy reasoning, optimizing a membership function and a fuzzy rule, and carrying out the correction through a building material attenuation model. And optimization is carried out through an ACO algorithm, a DLOF model is used to generate a DLOF flow light field, an unmanned aerial vehicle inspection path is planned based on the comprehensive risk weight, and the fire spreading probability is monitored. According to the method, the recognition precision of the fire hazard degree is improved through hybrid modeling of fusion of a chaos optimization clustering algorithm, SPIHT infrared feature extraction and fuzzy reasoning, and the accuracy of fire position tracking and the real-time performance of fire spreading trend monitoring are improved through building material attenuation correction, ACO-centroid fusion positioning and DLOF flow light field construction.

This invention discloses a method and system for rapid vehicle location tracking via door locks. The method includes: configuring topology information containing neighboring door lock addresses for each unit door lock based on a preset community access topology map; the resident door lock sending an IGMP join message to a preset multicast address; generating a discovery message based on the first detection of a Bluetooth tag signal by the unit door lock, and forwarding it to predicted neighbors via unicast according to the neighbor topology; the unit door lock receiving the discovery message switching its Bluetooth detection mode from low frequency to high frequency, forming a relay detection chain along the predicted path; and, based on the condition that the tag's signal strength remains stable near a certain unit door lock, generating a formal announcement multicast message, which is then forwarded by a router to the corresponding resident door lock, completing the vehicle location push. Using this invention, rapid, accurate, and low-power vehicle Bluetooth tag location can be achieved, improving the location response speed and system coordination efficiency in a community environment.

A method and apparatus for providing distributed fleet communication between aircrafts, including decentralized location tracking, weather data, and fleet health, for determining actual aircraft locations, better weather data from multiple sources, and health data to assist in logistics calculations and improve efficiency. Communication is a distributed communication network using a blockchain in which a block includes data, a hash, and a previous hash, the validity of the block is determined by a processor in response to a blockchain registry stored on memory, the hash, and the previous hash. The processor is configured to generate a record to be added to a local copy of a blockchain ledger stored in the memory, and then send an update to the fleet blockchain to be added as a valid record for storage and use by a fleet or other trusted individual operator.

Disclosed are apparatuses, systems, and techniques that improve efficiency and decrease latency of processing of authorization requests by cloud-based access servers that evaluate access rights to access various cloud-based services. The techniques include but are not limited to using location tracking data to predict that a user is to move from an area served by a first access point of the cloud-based services to an area served by a second access point of the cloud-based services. The techniques further include proactively providing policy data and policy dependencies to the second access point to minimize latency of processing of access requests generated by the user.

Particular embodiments described herein include an apparatus for providing RFID-based locations for items located in an indoor environment including an RFID scanner to transmit interrogating RFID signals and to receive RFID identifiers for RFID tags, the RFID tags being affixed to the items in the indoor environment. The apparatus can additionally include an indoor location tracking device to determine a current location of the apparatus within the indoor environment, wherein the apparatus is mobile and configured to be moved throughout the indoor environment. The apparatus can further include an RFID-location processor to receive RFID data from the RFID scanner and location data from the indoor location tracking device, correlate portions of the RFID data with portions of the location data, and generate RFID-based location data for the items located in the indoor environment based, at least in part, on the correlated portions of the RFID data and the location data.

The invention relates to a spatial position measuring method based on a heading machine spatial position measuring system. The spatial position measuring system comprises a light source, a camera, a control module and a calculation module, the light source is arranged on a heading machine body, the control module adjusts the light source to periodically flicker within a specific time interval, the camera is arranged on a roadway wall of a heading working face, and the calculation module is arranged on the roadway wall. The camera collects continuous video frames and transmits the continuous video frames to the calculation module, and the calculation module processes the continuous video frames and outputs spatial position information of the heading machine. According to the spatial position measuring method based on the spatial position measuring system of the heading machine, the accuracy of spatial positioning of the heading machine in roadway operation can be improved, the requirements of high-precision position tracking and automatic control are met, and the intelligent level of fully-mechanized excavation is improved.

An approach is provided for contextualized determination of estimated times of arrival (ETAs) for trips. The approach involves, for example, computing an original ETA for a vehicle on a route that is subject to required events. The original ETA is computed based on pre-trip predicted events determined based on an initial set of assumptions and the required events. The approach also involves monitoring real-time location trace data of the vehicle during a monitoring period to determine actual events of the vehicle and / or driver. The approach further involves generating a real-time ETA scorecard comparing the actual events to the required events, pre-trip predicted events, and / or prior events determined for previous monitoring periods. The approach further involves determining predicted events for subsequent monitoring periods based on the real-time ETA scorecard, and determining an updated ETA based on the predicted events.

A local positioning system (LPS) is provided. The LPS includes at least three local position tracking devices, each further including one or more of: a clock synchronized to the clock in each of the other devices; a transmitter transmitting signals over time synchronized to the clock; and a receiver receiving the signals over time from the other devices. The LPS further includes a processor operatively coupled to at least one of the devices and that is configured to: obtain for each of the signals a location of the device that transmitted that signal; produce one or more representations of at least a part of a living body based on at least one of one or more of the locations and one or more further representations of the at least the part of the living body, each of the representations including one or more temporal frames; and to provide output.

The invention provides a finite time position tracking control method of a magnetic suspension system with output constraint, which comprises the following steps of: establishing a mathematical model of the magnetic suspension system, determining an error system, and obtaining upper and lower bounds of suspension air gap constraint and system state information; designing a fractional obstacle Lyapunov function by considering upper and lower bounds of suspension air gap constraint, and solving partial derivative to obtain a constraint processing mechanism function; designing a continuous finite time state feedback constraint controller by using system state information based on a constraint processing mechanism function by applying a finite time control technology and a homogeneous system theory; and based on the constraint processing mechanism function, when the system speed state information cannot be measured, designing a non-smooth filter, and designing a finite time output feedback controller by using the filter output information and the system output information. Unified finite time control of the magnetic suspension system under symmetric / asymmetric suspension gap constraint is realized, and the method has high tracking precision, strong anti-interference robustness and engineering practicability.

The present disclosure provides a method for creating a 3D model of a reference surface. The method includes capturing, using a capture device, a plurality of data points on the reference surface, determining a position and an orientation of the capture device related to the capture of the plurality of data points, creating a 3D data representation of the reference surface based on the plurality of data points, creating a location tracking data representation of the reference surface based the plurality of data points on the reference surface and the position and the orientation of the capture device, and creating the 3D model of the reference surface based on the 3D data representation and the location tracking data representation of the reference surface.

Methods and apparatus for providing self-contained guidance, navigation, and control (GN&C) functions for a vehicle moving through an environment on or near the ground, in the air or in space without externally provided information are disclosed. More particularly, one embodiment of the present invention includes a Heading Sensor (36), an Absolute Location Sensor (38), a timer (40), a Range Doppler Processor (42), a Navigation Reference Sensor (44), an Area Range and a Velocity Sensor (46) which provide enhanced navigation information about a universal reference frame (22) and one or more targets (20).

A computer system for verifying information relating to an event. The computer system includes a network interface and a processor to receive a media feed containing information related to a potential event, identify the potential event and determine a location of the potential event from the information in the media feed, and solicit verification of information relating to the potential event from a set of responder devices of a plurality of responder devices. Each responder device of the set of responder devices has a location-tracking device, and each responder device of the set of responder devices is selected from a pool of responder devices in a vicinity of the potential event. The processor is further to determine whether information in the media feed is verified by verification solicited from the set of responder devices and output the determination.

This invention discloses an interactive augmented reality experience utilizing an eye-wearing device comprising a positioning detection system and a display system. The eye-wearing device registers a first marker positioning of a user-controlled virtual game block and a second marker of an interactive virtual game block. The eye-wearing device monitors its positioning (e.g., location and orientation) and updates the positioning of the user-controlled virtual game block accordingly. The eye-wearing device also monitors the positioning of the user-controlled virtual game block relative to the interactive virtual game block for the purpose of generating a score. Augmented reality examples include a "sphere-like balance" augmented reality experience and a "sphere-like balance" augmented reality experience.

System, process, and device configurations are provided for managing short range wireless data connections by a control device for one or more user devices. A method can include detecting a connection session between a first user device and a first source device, determining a location of the first user device with the first source device, tracking a location update of the first user device, and controlling exchange of the connection session to the second source device in response to the location update. Embodiments can include detecting and using patterns of use and connection history for activating one or more connection source devices. Embodiments also include controlling connections based on source device type and detection of location updates. Control of connections can include detecting source device type and power levels for identification and exchange of connections.

A system may include a radar-based tracking system, an image-based tracking system, one or more processors, and one or more computer-readable recording media that store instructions that are executable by the one or more processors to configure the system to: (i) obtain, via the radar-based tracking system, radar-based measurement data; (ii) utilize the radar-based measurement data as input to an event detection module to generate event detection output; and (iii) when the event detection output satisfies one or more conditions, selectively activate the image-based tracking system to enable acquisition of image-based tracking data to facilitate positional tracking of an object.