481 results about "Location tracking" patented technology

A control mechanism for self-cleaning filtration systems. One embodiment is a controller for a filtration system that comprises a suction scanner and a screening element having modifiable respective locations therebetween. The controller comprises an input terminal for receiving a relative location signal and additional a differential pressure input terminal. The controller monitors differential pressure and outputs an activation signal after the differential pressure has exceeded a threshold value. The controller outputs a termination signal based on the relative location signal. Another embodiment is a filtration system that comprises: a screening element located within a filtration chamber, and a suction scanner for self-cleaning thereof. A location tracker communicates to a switching mechanism during self-cleaning sessions a signal indicative of a location of the suction scanner with respect to the screening element. The switching mechanism automatically terminates self-cleaning sessions based on the signal.

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.

A safety and alarm system for vehicles which is designed to enhance safety by preventing risks associated with leaving vulnerable individuals or pets in locked vehicles is disclosed. The system comprises a durable, weatherproof housing attachable to the ceiling of the vehicle including one or more of a 360-degree infra-red camera, a motion sensor in the vehicle seats, CO2, CO, and temperature sensors. Each sensor is associated with a predetermined threshold. The system includes a processor and a wireless chip, and communicates with a handheld electronic device, enabling real-time alerts and remote monitoring. The smartphone application associated with the system enables for customization of alerts, holographic display controls on the windows, viewing of vehicle interior and communication with vehicle occupants via camera, and system activation / deactivation. Additionally, the system includes GPS functionality for emergency location tracking, enhancing the safety and response measures in critical situations.

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.

A wearable location monitoring and tracking device designed to track the location of the wearer and provide alerts to a remote monitor unit. The wearable device includes a housing with electronic components, a band for securing the device, an SOS button for sending alerts, LEDs for status indication, a vibration module, a location module, a wireless communication module, a memory, and a speaker. The remote monitor unit has a monitoring application to track the device's real-time location and to generate notifications. The wearable device sends location information to the remote monitor unit when the SOS button is activated. The method involves pairing the devices, detecting and transmitting location data, generating alerts, and displaying real-time information on a digital map within the monitoring application.

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.

Systems and methods for utilizing X509 certificates for granting access, such as for location tracking access, physical location access, access to digital content, and the like, include receiving a request for access from a requestor, wherein the request includes one or more of a time, a time period, a location, and a type of access, wherein the access is one of access to a user's location on a user device, access to a physical location, and access to content controlled by the user; issuing a certificate to the requestor based on the request, wherein the certificate includes the time period; one of allowing the requestor to perform the access until expiration of the time period and revoking the certificate prior to the expiration thereby preventing the access.

The invention relates to a virtual space boundary early warning method, which comprises the following steps of: 1, defining a virtual boundary by taking an electric power facility as a center; 2, tracking the position of the monitored object in the monitored area; 3, based on a boundary detection algorithm, the shortest distance between the monitored object and the virtual boundary is judged; and step 4, performing early warning and warning for the shortest distance between the monitored object and the virtual boundary. According to the invention, through real-time monitoring, intelligent analysis and rapid response, a layer of additional safety guarantee is provided for operation and maintenance of electric power facilities, human errors and accidents are reduced, and stable operation of an electric power system and life safety of personnel are ensured.

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.

The invention discloses an under-actuated unmanned ship trajectory tracking control method based on preset time error constraint. The method comprises the following steps: acquiring a three-degree-of-freedom kinematics and dynamics model of an actual underactuated unmanned ship; determining a position tracking error and an azimuth angle tracking error between the underactuated unmanned ship and the reference trajectory; designing a preset time virtual control law; setting a longitudinal speed error and a yawing angular speed error of the underactuated unmanned ship; and designing a time-varying gain auxiliary dynamic system, and designing a preset time controller by using an adaptive self-organizing neural network. According to the invention, through the asymmetric preset performance function constraint error, the self-organizing neural network dynamic approximation disturbance and the model uncertainty, the preset time filter suppression differential explosion and the auxiliary dynamic system compensation input saturation, the high-precision trajectory tracking in the preset time is realized; the method has the advantages of controllable convergence time, unconstrained initial error and high calculation efficiency, and is suitable for autonomous navigation of the underactuated unmanned ship in a complex marine environment.

The invention discloses a precise position tracking control algorithm based on real-time iterative compensation, and the algorithm comprises the following steps: taking a single axis of an X-Y motion platform as a research object, and obtaining a transfer function of the X-Y motion platform through parameter identification; the position tracker adopts a discrete PID (proportion integration differentiation) feedback control algorithm to obtain a feedback control output signal; an FIR (finite impulse filter) parameterization fixed structure controller is adopted to carry out feedforward control; a disturbance observer module is designed, disturbance observer output is compensated to control input, and a low-pass filter is introduced; and performing real-time iterative compensation control based on a Kalman filter. The Kalman filter is introduced into a real-time iterative compensation strategy provided by the invention, so that the noise influence of the system can be inhibited to a certain extent, and the anti-interference capability and the tracking precision of the system are further improved; in combination with a gating recursive unit prediction result and a model state space equation recursive prediction result, a better noise processing capability is provided by estimating a system state and a noise covariance.

A novel electronic system provides automated recognition, registration, and location tracking of physical, holographic, and / or virtual user items that can be visualized in a computer graphics-infused augmented-reality or mixed-reality environment with an electronic visualization device. The novel electronic system is also capable of executing intelligent machine valuation of user items and reflecting dynamic changes in valuation based on peer interests within the augmented-realty or mixed-reality environment. Each user item identified in the user's visual perspective through the electronic visualization device connected to the novel electronic system undergoes object extractions, class categorizations, and image segmentations by the novel electronic system to determine whether a particular item is substantive and worthy of location tracking, based on the item owner's preferences. The item is paired with related metadata and stored in a system database, and later retrieved by a search command in the augmented-reality or mixed-reality environment to display its known location.

This disclosure presents an event management system with real-time, low-latency communication between server and user terminals, facilitating efficient event planning and execution. The system includes an application program interface (API) database with an event execution management API for scenario control, participant messaging, location tracking, progress recording, and resource management API to handle physical assets. A user-friendly interface allows managers to construct event scenarios visually by manipulating graphical elements such as time zones, field zones, and preset layers—enabling quick setup without coding. Event scenarios undergo real-time validation to address scheduling conflicts, resource availability, and participant constraints. The system also includes an event database for program storage and log tracking. A communication processing unit synchronizes participant actions and event status, adjusting in real time based on feedback and location updates. This system enhances event management accuracy and flexibility, responding dynamically to changes in event parameters and participant interactions.

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.

The present invention relates to the field of information processing technology, and specifically to a medical equipment management system based on equipment positioning, comprising an equipment position positioning module, an equipment information management module, a usage status monitoring module, a scheduling management module, a maintenance reminder module and a statistical analysis and reporting module; the equipment position positioning module determines the real-time position of the medical equipment; during use, the present invention reduces the idle time of the equipment through precise positioning and scientific scheduling management, so that the equipment can be more fully used in the medical institution, meet the diagnosis and treatment needs of more departments, and improve the overall utilization efficiency of medical equipment resources; and real-time position tracking and usage status monitoring can ensure that the equipment is in place in time and operates normally, reducing diagnosis and treatment delays caused by equipment problems. At the same time, a standardized maintenance system ensures the reliability of the equipment, improves the quality of medical services from many aspects, and ensures the patient's medical experience.

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.

Various implementations include a glove. The glove includes a body, a mirror, one or more spikes, a location tracker, and an alarm. The body has a palmar side and a dorsal side. The glove defines four finger portions for accepting fingers of a human hand. The mirror is disposed along an outer surface of the body. The one or more spikes extend from the body. The location tracker pocket is defined by the body and configured to retain a location tracking device. The alarm includes a trigger for causing the alarm to generate a sound.

The present invention relates to a functional shoe configured to generate power when a user wearing the shoe walks, so that a battery there inside can be charged, and to supply the charged electricity to internal and external devices so as to be used for the purpose of user safety and device charging, and enable use of a location tracking function using a GPS device. A self-generating smart shoe according to the present invention comprises: an outsole constituting the lower portion of the shoe while having a plurality of receiving portions formed therein; a self-generation unit which, while being installed at the heel of the outsole, generates power by using a pressure generated when the user wearing the shoe walks and the restoring force due to the pressure; and a battery which, while being installed in the outsole, is charged when the self-generation unit generates power.

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.

A device may include a communication interface and processing logic. The processing logic may be configured to receive a signal from a wearable device, determine a signal strength of the received signal and receive, via the communication interface, messages from a plurality of other devices that received the signal. Each message may include a signal strength value corresponding to a signal strength measured by one of the plurality of other devices. The processing logic may further be configured to determine whether the device received the signal with a greatest signal strength, and transmit, via the communication interface and in response to determining that the device received the signal with the greatest signal strength, a message to a monitoring device indicating an identifier (ID) of the wearable device and a location of the device or an ID associated with the device.

Light emitting device positional tracking systems and methods are provided. In one example, a method includes receiving images captured of a target location comprising a plurality of light emitting devices, where each of the light emitting devices has an associated blinking pattern. The method may further include detecting the blinking pattern for each of the light emitting devices in the images. The method may further include determining a classification for each of the light emitting devices based on its detected blinking pattern. The method may further include aligning a mobile platform with the target location based on the classifications of the light emitting devices. Related devices and systems are also provided.

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 power equipment fault prediction method based on multi-modal data and related equipment, and belongs to the technical field of power operation safety monitoring, and the method comprises the steps: collecting the multi-modal data of a power operation site; inputting the data into a target detection model, determining a target category and position information in combination with a target identity re-association algorithm, and performing position tracking; performing preprocessing according to the channel state information of the real-time position of the target, performing attitude reasoning in combination with a deep neural network to obtain a target attitude, and determining an abnormal state of a target behavior; determining a position area of the target according to the real-time position of the target and an electronic fence technology; and when the target is in the dangerous operation area, determining the abnormal wearing state of the protection equipment of the target personnel based on the image of the target and by adopting a personal protection equipment detection model, and outputting early warning information through edge cloud cooperative early warning. High-precision safety monitoring of an electric power operation site is realized, the personnel behavior identification capability is improved, and the operation risk is comprehensively reduced.