24 results about "Geotagging" patented technology

The invention relates to the technical field of wetland carbon evaluation, and discloses a wetland carbon flux evaluation and management system based on three-dimensional digital twinning. The system comprises a three-dimensional modeling module, a flux monitoring module, a model optimization module and a twin updating module. The three-dimensional modeling module integrates wetland geographic space coordinates, an ecological parameter set and elevation, vegetation coverage density and soil type layering information, constructs a three-dimensional terrain grid model, and generates a three-dimensional digital twinborn body with a geographic mark; the flux monitoring module is used for collecting data such as atmospheric temperature gradient based on real-time environmental parameters, extracting carbon flux change characteristics through time sequence analysis and outputting a dynamic distribution state value; the model optimization module uses an adaptive evolutionary algorithm to adjust the parameter matching degree, iteratively updates constraint conditions, and generates an optimization parameter set; and the twin updating module recognizes abnormal grid units according to the abnormal grid units, corrects attributes by combining measured data, calibrates a topological relation, and outputs an updated evaluation model.

An electrical grid fault localization system including: a plurality of current sensors (measurement devices) electrically connected to the electrical grid; a memory for storing a representation of the electrical grid as a plurality of geographical markers, and for storing a plurality of sets of expected time data, each one of the plurality of sets of expected time data associated with each one of the plurality of geographical markers, each member of the set of expected time data based on an expected signal propagation time from, at least one of the plurality of geographical markers to at least one current sensor; a processor communicative with the plurality of current sensors and the memory, the processor configured to receive measured time data of a fault event from, the plurality of sensors to generate a set of fault event time data and to match the set of fault event time data to at least one of the plurality of sets of expected time data and identify in g / outputting at least one matched geographical marker. Methods and computer-readable media directed to electrical grid fault localization are also described.

A system for network optimization using geo-data may access a set of geotagged data samples associated with a cell. The set of geotagged data samples may be obtained from an application associated with one or more user equipment associated with the cell and the cell includes at least one antenna. The system may also determine a metric associated with the cell based on the set of geotagged data samples, generate one or more antenna adjustments based on the metric, and predict, based on the one or more antenna adjustments, a performance improvement associated with the cell.

The invention relates to the technical field of location information utilization, in particular to an automatic docking station connection method with a wireless data transmission function, which comprises the following steps: collecting channel and identity information to generate an identification beacon, screening low-overlapping channels to generate a path set, comparing fields to generate a mapping chain, and judging voltage offset to generate a switching result. And binding and marking the channels to generate a connection result. According to the invention, identity verification is realized through feature matching of the electromagnetic waveform and the access time data, the identification precision of a connection source is improved, channels are screened by combining a channel delay value and a geographic mark overlapping degree parameter, the path independence and the response sensitivity are enhanced, and a mapping chain is established based on an equipment identity field and physical region information. The method is advantaged in that connection environment perception capability is improved, power supply path switching is realized through a voltage deviation trend, electric energy output stability and response efficiency are guaranteed, channel configuration is carried out in combination with input type and frequency band structure compatibility, and signal scheduling accuracy and automatic connection adaptability are improved.

The invention relates to a water quality remote sensing inversion method based on an interpretable hybrid physical guidance neural network (HPGNN) model. The method comprises the following steps: collecting geotagged in-situ water quality parameter concentration with global representativeness and 1nm hyperspectral remote sensing reflectivity subjected to quality assurance and radiation correction from global lakes; converting the reflectance into equivalent reflectance of a sensor wave band by utilizing a spectral response function of a remote sensor; extracting space-time matched water surface remote sensing reflectivity by utilizing GEE; defining a mixed self-defined loss function fusing data driving, regularization and physical loss; and aiming at each water quality index, developing and training an interpretable high-precision spectrogram neural network model HPGNN using the converted reflectivity and the mixed self-defined loss function. Based on global representative data, the accurate water quality evaluation method is developed by mixing the self-defined loss function, short-term and long-term space-time dynamic analysis is achieved, an effective technical means is provided for water pollution prevention and control, and the method has wide application and popularization value.

Methods and systems are disclosed for WLAN devices to select an operating dynamic frequency selection (DFS) channel that minimizes radar interference probability by using assistance information. The assistance information can be a crowd-sourced database of radar zones with geographic markers, including one or more DFS channels used within the radar zones with geographic markers detected by multiple WLAN devices. The WLAN devices can query the crowd-sourced database for nearby radar zones with geographic markers to determine if radar is operating on an overlapping DFS channel so that it can switch to a different channel. In an aspect, the assistance information can be a periodic special action frame broadcast by a WLAN beacon device over the operating channel of the WLAN device. The special action frame can carry information about one or more channels used by nearby radar and a recommended alternative channel for use by the WLAN device.

The invention relates to a literature work geographic mark presentation system based on literature, history and geography fusion. According to the system, original literature works, historical geographic data, historical time period length and historical population density data are integrated; extracting geographic entities by using a natural language processing model and labeling space-time tags to generate a structured data set; and constructing a space-time dimension literature density thermodynamic value matrix to quantitatively analyze geographical distribution characteristics, dynamically screening negative space candidate areas with literature density lower than a threshold value and active historical data in combination with a historical event database, generating a causal hypothesis, and superposing a visual thermodynamic diagram and a time axis through a map interface to generate a dynamic visual map. Therefore, the distribution rule of the literature geography negative space and the deep association between the literature geography negative space and the historical background are efficiently detected and revealed, the automation degree and the empirical property of literature geography analysis are remarkably improved, and intelligent decision support is provided for culture research, education and heritage protection.

Disclosed is a system (100) for deploying seeds and / or seed balls via an unmanned aerial vehicle (UAV) (102). The system (100) includes a UAV (102) having a motor (114), a payload assembly (308) with a hopper (400) for storing the seeds and / or the seed balls, and a dropping mechanism (500) with a wheel (502) having openings (504a- 504c) alignable with holes (404a-404c) of the hopper (400). The UAV (102) includes an imaging device (112) and sensors (110) for capturing data. Processing circuitry (106) receives and processes images and sensor data, operates the motor (114) to rotate the wheel (502) for dropping the seeds and / or the seed balls based on processed data, and geotags paths followed by the UAV (102) while dropping the seeds and / or the seed balls. The system (100) may detect blockages, activate vibrator motor (402) to clear blockages, monitor levels of the seeds and / or the seed balls, and initiate return-to-base sequences for refilling.

The various embodiments herein provide a system and method for occupancy monitoring on shores, dynamically using a mobile camera system mounted on a mobile platform The system utilizes advanced imaging technologies, differential GNSS for precise geo-tagging, and an AI-driven analysis framework to enhance the accuracy and reliability of occupancy data. The mobile nature of the system enables comprehensive coverage and real-time adaptability to changing conditions, significantly reducing resource utilization over traditional static camera methods. The system's modular design ensures scalability and flexibility, making it adaptable to various shoreline environments. This comprehensive approach not only increases the efficiency of monitoring practices but also supports more informed decision-making for beach management authorities.

Exemplary embodiments of the present disclosure are, directed towards a system and method for securing financial transactions using geotagged and timestamped machine-readable codes. The system includes computing device with financial transactions securing module that enables user device registration with elements such as IMEI, SIM, IP address, and GPS data to create secure device profile. Unique machine-readable code is, generated for each transaction, embedding real-time geolocation, timestamp, and transaction data to ensure location-based authenticity. Biometric authentication further verifies the user's identity. The system transmits transaction data to server with financial transactions verification module, which performs real-time location verification by cross-referencing GPS data and validating timestamps to prevent expired code reuse. The system detects device-specific mismatches, anomalies, and unauthorized access attempts, generating alerts and automatically blocking transactions if inconsistencies arise. Fallback OTP verification is, triggered when primary verification fails; ensuring only authorized users complete the transaction. This system enhances security, transparency, and fraud prevention in digital transactions.

A computer assisted method comprising: storing a training dataset including a plurality of geotagged candidate images and a plurality of query images, each query image having at least one corresponding candidate image having the same geolocation; applying a quasi-random or random azimuth rotation to each of the plurality of query images, and storing the azimuth rotation for each of the plurality of rotated query images; training a machine learning model, including: extracting features from the plurality of rotated query images; estimating the azimuth rotation of the rotated query image based on an inference of the extracted features of the rotated query image and extracted features from the candidate images, and using an objective function including a first loss function based on a weighted soft-margin triplet loss, and a second loss function based on an absolute angle error between the stored azimuth rotation and the estimated azimuth rotation for the stored dataset.

The application discloses a kind of personalized scenic spot recommendation methods based on large model picture content feature enhancement, comprising:1, data set acquisition and processing: obtain the tourism data set with geographic tagged picture, and the geographic information of picture is decoded, obtain user-scenic spot interaction matrix;2, picture content feature extraction: data enhancement is carried out using large model, and picture is converted into interpretable text semantic information;3, establish prediction preference model: using the recommendation model based on Wide &Deep variant, capture the direct relationship between features;4, obtain the preference value of all scenic spots from the prediction preference model, sort the preference value in descending order, and select the scenic spot corresponding to the top preference value and recommend it to the user.The application integrates geographic information, time information and picture content attribute information extracted by large model, and designs the recommendation model based on Wide &Deep variant, thereby effectively improving the accuracy and personalization level of scenic spot recommendation.

A social media platform provides a map-based graphical user interface (GUI) with multiple geographically anchored icons that are selectable to trigger playback of respective galleries of ephemeral messages. Each of the plurality of location-based ephemeral galleries comprises media content contributed by multiple different users. The ephemeral galleries are compiled based on geo-tag data associated with respective ephemeral messages submitted by multiple users to be publicly viewable via the map-based GUI.

A monitoring system for a system, may comprise: thickness sensors and vibration sensors disposed on the monitored system, controller processors coupled to the sensors to receive and geo-tag sensor data, communication devices for transmitting geo-tagged data, a communication device receiving the geo-tagged data, and servers to analyze the data from the sensors to determine, e.g., element thickness and / or vibration producing events, and to compare same to standardized exception data therefor; wherein when an exception exists, to generate and communicate an alert therefrom via a display, a human interface device and / or the communication device of the central facility. Additional sensors such as temperature sensors, strain gages, flow sensors, leak sensors and / or other sensors may also be disposed on the system, and data therefrom processed to determine exceptions.

A method of identifying the cleaning products and chemicals that are safe for a particular cleaning task and ensuring that the cleaning workers carry the identified cleaning products and chemicals to a cleaning job site. The cleaning workers are requested to activate geotagging and location sharing on their client devices. When the client device reaches within a threshold distance of a job site, the cleaning worker is requested to activate the camera of the client device and take geotagged images of the cleaning products that the cleaning worker is carrying. The images of the cleaning products are analyzed and are compared with the products and chemicals that are identified as being safe for the cleaning job. The cleaning worker gets clearance to perform the cleaning job only after the cleaning products that are actually carried to the job site and their chemical ingredients are verified as safe.

This invention relates to the field of wetland carbon assessment technology and discloses a wetland carbon flux assessment and management system based on three-dimensional digital twins. The system includes modules for three-dimensional modeling, flux monitoring, model optimization, and twin updating. The three-dimensional modeling module integrates wetland geospatial coordinates, ecological parameter sets, elevation, vegetation cover density, and soil type stratification information to construct a three-dimensional terrain grid model and generate a geotagged three-dimensional digital twin. The flux monitoring module collects data such as atmospheric temperature gradients based on real-time environmental parameters, extracts carbon flux change characteristics through time series analysis, and outputs dynamic distribution state values. The model optimization module uses an adaptive evolutionary algorithm to adjust parameter matching, iteratively updates constraints, and generates an optimized parameter set. The twin updating module identifies abnormal grid cells, corrects attributes and calibrates topological relationships based on measured data, and outputs an updated assessment model.

A helmet collision safety system is provided, designed to measure, analyze, and communicate impact forces experienced during sports activities to mitigate concussion risks. The system comprises an accelerometer, gyroscope, and at least one MEMS sensor strategically placed around a helmet to detect linear and rotational forces caused by impacts. A processor analyzes sensor data using an impact differentiation algorithm, classifying impacts into a three-tier severity system with corresponding visual and alert responses. The system integrates machine learning to refine impact assessments and utilizes wireless communication for real-time data transmission to a smartphone application, which manages alerts, logs impact history, and provides geo-tagging for incident tracking. Additional features include a rechargeable battery with USB-C and wireless charging options, customizable user profiles, and emergency contact integration to enhance safety and response efficiency.

A monitoring system for a pipeline system, may comprise: thickness sensors, vibration sensors, flow sensors, leak sensors and / or other sensors disposed on pipelines, controller processors coupled to the sensors to receive and geo-tag sensor data, communication devices for transmitting geo-tagged data, and a central facility comprising: a communication device receiving the geo-tagged data and servers to analyze the data from the sensors to determine, e.g., wall thickness, vibration producing events, media flow, and / or leaks, and to compare same to standardized exception data therefor; wherein when an exception exists, to generate and communicate an alert therefrom via a display, a human interface device and / or the communication device of the central facility.

The invention provides a visual location identification method based on frequency domain-space domain double-domain aggregation. The method comprises the following steps: constructing an image database with geographic marks; giving an input image, and extracting a local spatial domain feature map from the input image by using a visual feature extractor; converting the spatial domain feature map to a frequency domain through two-dimensional fast Fourier transform to obtain a frequency domain feature map; optimizing the spatial domain feature map and the frequency domain feature map in parallel through a multi-scale context attention module to obtain an optimized spatial domain feature map and an optimized frequency domain feature map; aggregating the optimized spatial domain feature map and the frequency domain feature map into a unified global feature through a triple fusion mode; a reference image that is most similar to the input image is retrieved from the image database based on the global features, thereby identifying the location of the input image based on the geo-mark of the reference image. The double-domain aggregation recognition method is excellent in performance, and a good recognition effect is achieved.

The various embodiments herein provide a system and method for occupancy monitoring on shores, dynamically using a mobile camera system mounted on a mobile platform. The system utilizes advanced imaging technologies, differential GNSS for precise geo-tagging, and an AI-driven analysis framework to enhance the accuracy and reliability of occupancy data. The mobile nature of the system enables comprehensive coverage and real-time adaptability to changing conditions, significantly reducing resource utilization over traditional static camera methods. The system's modular design ensures scalability and flexibility, making it adaptable to various shoreline environments. This comprehensive approach not only increases the efficiency of monitoring practices but also supports more informed decision-making for beach management authorities.

The invention discloses a method and a device for positioning subway users in a wireless communication network. The method comprises the following steps: acquiring wireless communication network original data of suspected subway users; then verifying the authenticity of the suspected subway user based on the original data of the wireless communication network to obtain a target subway user; and finally, geographically marking and positioning the measurement report data and the signaling data of the target subway user to obtain a specific spatial position of the target subway user in a wireless network coverage area so as to realize positioning of the wireless communication network subway user. According to the method, manual testing is replaced by MR data reported by subway users, and the MR and signaling data are geographically positioned in combination with the innovative idea of anchor point switching, so that network problems can be more accurately checked. The method not only improves the efficiency and accuracy of identification and positioning, but also saves the cost of manual testing.

A system for secure product tracking and authentication using geo-tagging and machine-readable code integration is disclosed. The system includes a first computing device comprises a geo-tag and code generation module that creates a unique geo-tag for each product, embedding authorized data such as licenses, permissions, and trademark registrations. This geo-tag is paired with a machine-readable code containing product-specific details and a time-stamp, which is then embedded onto the product's packaging by a connected packing machine. A second computing device allows users to track the product across the supply chain, displaying real-time information on the product's location, status, and authenticity. A server manages and analyzes this data in real-time, ensuring regulatory compliance and detecting potential tampering. A scanning device reads the machine-readable code at various checkpoints, updating the product's status and transmitting data to the server, where alerts and notifications are generated based on analyzed data.

A method performed by a mobile device for tracking and tracing objects includes capturing an image of an object in an industrial environment via a camera of the mobile device, querying object detection applications with the image, querying a track and trace database to determine a match based on the detection results, outputting a suggestion identifying the object via a user interface, receiving user input confirming or modifying the suggestion, and updating the track and trace database based on the confirmed or modified identification. In some cases, the method may also include geo-tagging the captured image using location data from the mobile device and updating location information in the database. In various scenarios, the object detection applications may include object detection models from publicly available services and / or custom models trained on inventory data.

A monitoring system for a wind turbine system, may comprise: thickness sensors and vibration sensors disposed on the monitored system, controller processors coupled to the sensors to receive and geo-tag sensor data, and communication devices for transmitting geo-tagged data. A communication device for receiving the geo-tagged data, and servers to analyze the data from the sensors to determine, e.g., element thickness and / or vibration producing events, and to compare same to standardized exception data therefor; wherein when an exception exists, to generate and communicate an alert therefrom via a display, a human interface device and / or the communication device. Additional sensors such as temperature sensors, strain gages, flow sensors, leak sensors and / or other sensors may also be disposed on the wind turbine system, and data therefrom processed to determine exceptions.