740 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.

A method to employ a three-dimensional (3D) model is provided. The method may include: displaying, on a graphical user interface (GUI) of a display device, at least one selectable option corresponding to at least one 3D model stored in a storage, each of the at least one 3D model corresponding to a 3D data representation and a location tracking data representation; receiving a selection of an option from a user via the GUI, the selected option corresponding to a selected 3D model of a reference surface; in response to receipt of the selection of the option, switching to display a real-time camera view on the GUI; determining that the reference surface is present in the real-time camera view; and superimposing at least one of the 3D data representation or the location tracking data representation of the selected 3D model on the reference surface displayed in the real-time camera view.

Systems and methods for cloud-based computer-aided dispatch (CAD) of emergency medical services (EMS) include receiving real-time EMS vehicle location tracking information from and sending an EMS vehicle assignment to a vehicle of an EMS agency, and communicatively coupling to a computing system associated with the EMS agency to provide services including request intake configured to receive a request for a patient's EMS trip, a dispatch GUI hosted at the EMS agency, and a dispatch code service for determining dispatch code(s) for the EMS trip based on the request. The dispatch GUI may include an interactive graphical map, and a data entry window for capturing trip information. Based on a user-selected position on the map, a portion of the trip information may automatically populate in the data entry window. The vehicle may be assigned using the trip information, the real-time vehicle location tracking information, the request, and the dispatch code(s).

Techniques for map refinement (e.g., tracking data refinement) by an inside-out location tracking system may include computing a transform from a reference point to an epipolar line using an Essential Matrix derived from a reference frame camera motion in a live frame, computing several appearance errors between a feature associated with the reference point and other projected and optimized features, using a perpendicular projection hypothesis and an optimized point generated on the epipolar line, and evaluating the appearance errors using a greedy, ordered optimization. If the appearance error is less than a predetermined quality threshold, the optimized point is retained in tracking data. Otherwise the tracking data may be reset at the reference point location for reinitialization. An updated map and associated map data reflecting updated optimized points may be provided, for example, to a client device, as well as returned to a visual inertial odometry system.

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.

In accordance with some example embodiments, a method may include transmitting, by a network entity, at least one positioning measurement configuration associated with at least one radio access network notification area to a user equipment. The method may further include receiving, by the network entity, at least one location message. The method may further include transmitting, by the network entity, at least one location message response The at least one location message response comprises at least one last known location of the user equipment transmitted to the location management entity or at least one last location-associated measurement by the user equipment transmitted to the location management entity.

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 invention provides a parameter acquisition method of a photovoltaic tracking system, which comprises the following steps of: acquiring longitude and latitude, time and date of a device installation place by using GPS (Global Positioning System) positioning, and describing the relative position of the sun through a sun-oriented movement trajectory tracking algorithm; calculating a tracking angle at which the camera should rotate by using the known relative position of the sun and the direction vector and the position vector of the tracking camera; the camera is driven to rotate to a theoretical angle, and then position tracking of the sun is achieved through the angle sensor; in the tracking process, eight-quadrant illumination intensity data is collected through a self-adaptive weight distribution algorithm model. According to the invention, real-time tracking of the sun is realized, and effective picture data acquisition work for the sun area in the sky is completed. The illumination intensity value calculated by using the adaptive weight distribution algorithm model can reduce the influence of the external environment on the data to a certain extent, balance the error and deviation between the sensors, and finally improve the measurement precision of the illumination intensity.

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 an intelligent construction site safety management platform and a method thereof. The management platform comprises a data acquisition module, a data processing module, a machine learning prediction module, an intelligent sonar analysis module, an early warning module, a display and notification module and a feedback and learning module. The machine learning prediction module comprises a dynamic feature selection unit, a multi-model integration unit, a context awareness reasoning unit, a self-learning and model updating unit and an uncertainty evaluation unit; the intelligent sonar analysis module comprises a multi-frequency sonar signal processing unit, an environment perception and compensation unit, a target identification and classification unit, a dynamic signal enhancement and noise reduction unit, a real-time position tracking and trajectory prediction unit and a self-learning and system optimization unit. According to the invention, an early warning signal can be rapidly and accurately sent out in a high-risk environment, in addition, an early warning decision value can be adjusted in real time, a potential dangerous situation can be rapidly responded, and the safety risk on a construction site is effectively reduced.

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 present disclosure describes storing and transporting technologies for temperature sensitive materials. More specifically, storage and transport of apheresis material. The described technologies include environmental monitoring systems, location tracking systems, an environmental control system, and customized systems and interfaces allowing for non-expert use. The storing and transporting technologies described herein may be ideally suited for the unique requirements of apheresis material.

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 discloses an extruder moving beam position tracking control method based on adaptive iterative learning, and belongs to the technical field of position control. An extruding machine moving beam position tracking control method based on adaptive iterative learning comprises the following steps that according to the physical property of a moving beam, the motion mode of the moving beam is analyzed, and a kinetic model of a nonlinear parameterized moving beam system is constructed; establishing a fuzzy model for an unknown part in the dynamic model, and determining a position tracking error system of the moving beam; based on a self-adaptive iterative learning control theory, designing a finite-time high-precision position tracking control strategy of the movable beam of the extruding machine; and analyzing the stability of the controller. The invention relates to an extruder moving beam position tracking control method based on self-adaptive iterative learning, which realizes finite time high-precision position tracking control of a moving beam by combining a Fourier series-fuzzy approximation method based on a self-adaptive iterative learning control theory.

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.

A mechanism for generating feedback information for aiding in improved performance of tracking the location of an interventional device. where such tracking is performed using one or more electric. electromagnetic and / or magnetic fields generated by one or more field generators on the surface of the subject. A spatial relationship between field generators on a surface of the subject and one or more anatomical structures of the subject is determined from non-invasive imaging data. This spatial relationship is used to generate the feedback information for calibrating a mapping or location tracking system and / or for repositioning the field generators.

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.