13 results about "Geotagging" patented technology

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.

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.

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.

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 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.

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 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.