990 results about "Mobile app" patented technology

A system for improving employee engagement and automating the integration of business processes. The system includes: a user interaction module configured to receive multimodal inputs, including natural language text and voice requests from employees via enterprise portals, mobile applications, voice-activated devices, and collaboration platforms, and to generate real-time responses via conversational output channels; a context processor that is operationally coupled with the user interaction module, wherein the context processor stores the interaction history, employee preferences, organizational role metadata, and task results in both short-term and long-term memory and dynamically derives context for controlling responses and initiating workflows; A natural language and intent processor that is communicatively linked to the context processor. The intent engine consists of large language models trained on company-specific lexicons to perform intent detection, entity extraction, ambiguity resolution, and sentiment or urgency classification from employee queries; a workflow orchestration layer in communication with the intent engine and the context processor, wherein the workflow orchestration layer includes a rule-based and AI-powered process execution engine configured to automatically initiate, route, and complete cross-functional business tasks, including approvals, escalations, and compliance checks, with workflows defined using modular templates that include conditional logic and time-based triggers; Webhooks and authentication protocols provide secure interoperability between the workflow orchestration layer and external enterprise platforms; a feedback and learning module that is operationally coupled with the workflow orchestration layer and the natural language understanding engine, wherein the feedback and learning module is configured to analyze task completion rates, response accuracy, latency metrics, and user feedback signals, and to retrain underlying language and workflow models for adaptive improvement in real time; and an administration console with role-based access controls, compliance dashboards, audit trails and interfaces for workflow configuration, whereby the administration console enables authorized personnel to monitor system operations, adjust interaction rules and enforce data protection restrictions across departments.

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

Disclosed are a three-dimensional laser point cloud-based method and system for in-depth vegetation management in transmission corridors. The method comprises: collecting multi-source data by means of an unmanned aerial vehicle- and helicopter-mounted multi-sensor system, and preprocessing the multi-source data; using the processed multi-source data to create a digitalized power grid corridor and construct a vegetation management analysis model; on the basis of data analyzed by the vegetation management analysis model and geofencing technology, designing a hazard vegetation clearing-cost-compensation prediction model; and developing a mobile application for analyzing hazard vegetation data flows and the closed-loop management of vegetation management service flows. The described method achieves high-precision and high-coverage data collection, precisely identifies transmission line digital twins and hazard vegetation, standardizes and automates the management of hazard vegetation clearing and related compensation, and develops a mobile application for analyzing hazard vegetation data flows and the closed-loop management of vegetation management service flows, thereby achieving the end-to-end digital and mobile management of vegetation management. The organic combination of steps comprehensively improves the intelligence and efficiency of transmission line vegetation management.

The invention relates to the technical field of public transportation systems, and particularly discloses a bus departure scheduling method, which comprises the following steps of S1, integrating multi-dimensional data; s2, a dynamic prediction model containing machine learning parameters is adopted to calculate the passenger demand in the future period; s3, calculating the number of required vehicles according to the predicted demand, the vehicle capacity and the dynamic load coefficient; s4, constructing a multi-objective function including energy consumption optimization, and solving the optimal departure interval and route; and S5, according to the real-time data, correcting a scheduling scheme, collecting real-time feedback data through a passenger mobile application, analyzing the emotion and demand of the passenger by using a natural language processing technology, based on feedback intention recognition of an emotion analysis model, constructing a passenger demand knowledge base in combination with historical complaint data, and optimizing a dynamic prediction model and a scheduling strategy. Through technology integration and system innovation, the static and single bottleneck of traditional scheduling is broken through, and an intelligent solution considering efficiency, low carbon and user experience is provided for urban buses.

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

This disclosure provides an improved universal interchangeable battery for electric vehicles forming part of a battery swapping ecosystem that includes electric vehicles, swappable batteries, a charging / swap station, a battery adaptor for reliable charging and communication, and a mobile application for managing battery swapping within a fleet and a network of charging stations, enabling efficient and user-friendly battery exchanges.

The present invention comprises a novel social media video debating web and mobile application. The platform will provide a space for users to debate uninterrupted by both the audience and the opponent whereby each participant is given a set time to express their thoughts on a subject matter. The online debate platform provides a controlled setting for the participants to have their debates viewed, voted on and subsequently ranked by the other users of the platform. The online debate platform is also monitored by a unique AI system that updates debate “winners,” flags offensive content, and moderates each debate on the platform in real time. The disclosed platform and following figures will provide a space for individuals to debate subjects in a uniformed structure and have real-time results from active user viewership. The online debate platform aims to provide an established place for constructive debating.

The invention presents an advanced soccer training system designed to revolutionize traditional practice methods through a synergy of technology and interactivity. It features an integration of sensors, Artificial Intelligence, and Augmented Reality technologies, providing real-time feedback, immersive simulations, and personalized training experiences. The system promotes skill development via data-driven insights and dynamic training environments, supported by mobile application connectivity for customized training regimens and performance analysis. Additional attributes include energy-efficient design, user-friendly transport mechanisms, and extensive multimedia capabilities like video recording and photo capture for skill review, establishing a novel paradigm in athletic training and development.

The invention discloses a power equipment temperature monitoring and early warning system and method based on wireless communication, and relates to the technical field of temperature monitoring, the system comprises a wireless temperature measurement terminal box and a mobile terminal APP, the wireless temperature measurement terminal box and the mobile terminal APP establish communication connection based on a wireless network, and the wireless temperature measurement terminal box is fixedly installed on power equipment; the wireless temperature measurement terminal box comprises an electromagnetic environment judgment module which monitors and judges whether interference exists in the environment where power equipment is located in real time based on an electromagnetic sensor and synchronizes a result into a temperature drift compensation analysis module; and the temperature monitoring module monitors temperature data in the power equipment in real time based on a temperature sensor. Through electromagnetic environment judgment and temperature drift compensation, historical data and a model are combined to dynamically correct interfered temperature data, the influence of electromagnetic interference is eliminated, real-time monitoring is matched with graded alarm, hidden dangers can be found in time, response can be made according to risk grades, accidents are avoided, and wireless connection adapts to complex scenes.

The invention discloses an intelligent early warning system for safety of buildings around foundation pit construction, and relates to the technical field of construction safety monitoring. The platform adopts a four-layer architecture of a sensing layer, a transmission layer, a platform layer and an application layer. The sensing layer collects data in real time through a multi-class sensor array; the transmission layer wirelessly transmits data by using the Internet of Things technology; the platform layer serves as a core, comprises a data management module, a digital twin modeling module and an intelligent analysis early warning engine, and is responsible for data preprocessing, three-dimensional model driving and intelligent risk study and judgment based on machine learning and a dynamic threshold value; and the application layer provides visual display and early warning push service through a Web terminal and a mobile APP. All-weather automatic monitoring, intelligent advanced early warning and accurate risk prevention and control of the surrounding environment of the foundation pit are achieved, a complete intelligent management closed loop is formed, and the construction safety level is effectively improved.

Embodiments of a physical access control system may grant authorized portal entry upon receiving a physical access request by generating a temporal credential based on the elapsed time from a prior access request. The controller processes multiple physical access requests from various mobile application devices. For each mobile application device, embodiments may authenticate an initial (predecessor) access request. For subsequent (successor) access requests, embodiments may use monotonic nonces to advance the range of temporal code matches. Entry code generation is decentralized to distributed application devices and remains unpredictable until a subsequent (successor) access request is initiated by the same mobile application device.

The invention relates to the technical field of data security detection, in particular to a data security-oriented mobile application dynamic and static dual-combination detection method and system. The method comprises the following steps: collecting basic information of a target mobile application from a plurality of heterogeneous data sources, and constructing a basic data set of the mobile application information; performing decompilation and static analysis based on the installation file in the resource library, and outputting a static risk feature vector in combination with the sensitive data operation rule set; dynamically running a target application in the controlled sandbox environment, monitoring network traffic, system calling and file operation behavior sequences, and outputting a dynamic behavior risk feature vector; and fusing the two types of feature vectors, and inputting the fused feature vectors into a risk assessment model to generate a comprehensive data security risk assessment report. According to the method, a comprehensive evaluation system is constructed by fusing static and dynamic risk features, and full-dimension coverage of the security risk of the mobile application is realized.

The invention relates to the field of mobile applications, and particularly provides a cross-platform mobile application system and a task processing method thereof, a terminal and a medium, and the system comprises a cross-platform application framework layer which is used for constructing an interface and processing an interaction event; the core intelligent layer is constructed based on an AI agent development suite and is used for dynamically scheduling an AI agent according to a user intention and an application state; the AI agent pool comprises a plurality of agents with independent functions; the native function interface layer is used for bridging and calling native hardware functions of the equipment; and the large language model service interface is used for accessing large language model service. The method comprises the steps of receiving and standardizing a user event, analyzing a user intention, dynamically scheduling an agent to cooperatively execute a task, and finally updating a user interface by calling a native hardware function or accessing a large language model to enhance the capability. The intelligent level, the development efficiency and the user experience of the mobile application are improved.

The invention discloses a non-sensitive management control system and method for a shared office. The system comprises a mobile APP, a cloud management platform, an intelligent access control terminal, environment sensing equipment and an electrical control unit, through the management system integrating the mobile APP, the cloud management platform, the intelligent access control terminal, the environment sensing equipment and the electrical control unit, non-sensitive management of the shared office can be realized. According to the system, a tedious and low-efficiency application process is simplified, so that the employees can quickly complete office reservation, and the consumption of office time is remarkably reduced. Meanwhile, the system can dynamically adjust the electrical control unit according to real-time data provided by the environment sensing device, it is ensured that device operation is automatically closed or reduced in the unmanned period, energy waste is effectively avoided, and the operation cost is reduced. In addition, the resource utilization efficiency is improved through the fine management mode, administrative expenses caused by idle or overuse of resources are reduced, and therefore the operation efficiency of an enterprise is overall improved.

A wearable electroencephalography device includes an ear cuff around an auricle of an ear comprising a curved structure conforming to contours of the ear, an electroencephalography electrode positioned on the ear cuff and contacting skin for detecting brain activity signals, a wireless controller integrated with the ear cuff and processing the brain activity signals from the electroencephalography electrode, and a wireless communication module transmitting the processed brain activity signals to an external device. The wearable electroencephalography device includes a mobile application receiving the transmitted brain activity signals from the wireless communication module, analyzing the brain activity signals using machine learning algorithms to determine emotional states of a user, and providing real-time feedback regarding the emotional states through a user interface. The mobile application comprises a self-report interface allowing the user to input subjective state data and a live-feed interface displaying real-time subjective state data derived from the brain activity signals.

The invention provides a watershed flood early warning system and method based on hydrological model and mobile application coupling, and belongs to the field of watershed flood early warning. In the system, a communication and data transmission module collects data for hydrological model simulation in a watershed area; the model simulation module simulates hydrological data of rainfall runoff in a watershed area in real time by using a hydrological model based on the collected data, and transmits a simulation result to the flood risk forecasting module through the communication and data transmission module; the flood risk forecasting module generates a flood risk map based on the received simulation result and transmits the flood risk map to the communication and data transmission module; and the mobile application display module receives real-time early warning information generated by the communication and data transmission module based on the flood risk map, and displays the real-time early warning information to a user. The watershed flood is simulated in real time through the hydrological model, the flood forecasting and early warning information is sent to people in a watershed flood submerging range through the mobile application, and the accuracy and timeliness of watershed flood early warning can be improved.

The invention relates to the technical field of mobile application continuous integration automation, and discloses a multi-channel APP automatic packaging system which comprises the steps that byte code files in a released mobile terminal APP installation package are acquired, and an occupied symbol space set is generated; generating an available confusion namespace by using set complementary operation; extracting method-level code change by using an abstract syntax tree difference algorithm, and generating a change method set; generating a patch special confusion rule for the change method set by using a namespace allocation algorithm; compiling and obfuscating the change method set by applying a patch special obfuscating rule to generate a safe obfuscating patch byte code; performing packaging and signature operation on the safe obfuscation patch byte code, and outputting a minimized obfuscation safe hot repair patch pack; according to the method, the technical problems that class definition conflicts or method calling errors occur after the hot repair patch is loaded, and the downloading success rate of a user is affected due to the overlarge size of the hot repair patch are solved.

The invention provides a product advertisement putting method and system. Relates to the technical field of advertisement putting, and comprises the following steps: obtaining product advertisement putting data with a timestamp from an e-commerce platform, a mobile application and an advertisement media, and carrying out cross-terminal association on the product advertisement putting data and a user identifier to form a multi-source data set so as to optimize product promotion, advertisement putting and marketing strategies and improve commercial benefits. According to the product advertisement putting method and system, the interest, the purchase intention and the cross-channel activeness of the user can be reflected more accurately through cross-terminal association of the multi-source data and construction of the multi-dimensional audience portrait, so that the target audience can be matched more accurately during advertisement putting, the advertisement effect is improved, and meanwhile, the user experience is improved. The combination of the incremental transformation prediction model and the multi-target reinforcement learning decision engine enables the advertisement putting strategy to be adjusted in real time, and improves the putting real-time performance and the rate of return on investment.

System and methods for physical authentication using blockchain technologies. A user list is encoded via hashes of respective wallet addresses to construct a Merkle Tree. The Merkle Root of the constructed Merkle Tree is recorded on the blockchain. The Merkle Tree and the Merkle Root are updated each time a user is added to the organization. A user is authenticated by submitting a message to the client, which creates a Merkle Proof and sends it to the blockchain for authentication. The process can be facilitated by a mobile application that generates a Quick Response (QR) code representing the user's wallet address.

An anti-snoring system comprising an adjustable bed having a sleeping surface that may be mechanically raised or lowered, and a control module adapted to receive commands from a source external to the adjustable bed; a mobile device in direct or indirect communication with the control module in the adjustable bed, and wherein the mobile device has sound recording capabilities; a mobile application resident on the mobile device, wherein the mobile application includes a sound classification machine learning model that includes an artificial intelligence or neural network operative to determine whether or not a person on the sleep surface is snoring, and wherein upon a determination that the person is snoring and has been snoring for a predetermined period of time, the mobile application instructs the control module to raise or adjust the sleeping surface to a height or position that will discourage the person from snoring.

The present disclosure relates to a robotic charging system that provides a charge as a service for charging electric vehicles. The robotic charging system can be deployed and managed by a cloud solution in response to user requests to charge a vehicle. The robotic charging system can be autonomous such that it receives a target location and navigates to the target location autonomously. A cloud solution can track, manage, monitor, and deploy robotic charging systems in response to requests submitted by a mobile application.

A holiday tabletop decoration kit designed for creating customizable dioramas for holidays such as Easter, Halloween and Christmas is disclosed. The kit includes a base with pre-drilled holes for secure placement of various holiday-themed figures and scenery elements. The kit incorporates electronic components such as LED lighting, sound effects, and motion sensors to enhance the interactivity of the display. The kit can be controlled via a mobile application with augmented reality features, allowing users to customize their scenes and control embedded lighting and sound effects remotely.

The present invention discloses a novel spinal posture monitoring system designed to enhance user awareness and encourage proper posture habits; wherein the system utilizes two Arduino flex sensors strategically positioned back-to-back along the user's spine, accurately capturing and mimicking the natural movements of the spine in both flexion and extension movements. The acquired data is transmitted in real-time to a dedicated mobile application allowing the user to correct the poor posture habits promptly. The mobile application facilitates re-calibration of sensor data based on the desired back position of the wearer.

A heated skate blade system is disclosed for optimizing ice skating performance through app-controlled temperature adjustment. The system includes a nichrome heating coil embedded in or adjacent to the blade, powered by a thin-film lithium-ion battery integrated into the blade holder. A microcontroller governs power delivery to the coil and wirelessly communicates with a mobile application via Bluetooth. The application enables users to input variables such as ice temperature, skater weight, skate size, blade hollow (ROH), and desired blade temperature. Based on these inputs, the system adjusts heating output to reduce the coefficient of kinetic friction between the blade and ice, enhancing glide and top speed. A USB-C port enables battery charging. The invention provides real-time, user-specific thermal tuning for hockey and speed skating applications, delivering improved speed and energy efficiency through compact, embedded electronics and an intuitive mobile interface.

The invention relates to the technical field of data processing, and discloses an HTML (Hypertext Markup Language) content intelligent rendering method, device, electronic equipment and system.The method comprises the following steps: acquiring a to-be-rendered HTML code, and constructing a DOM (Document Object Model) tree corresponding to the HTML code according to the HTML code; determining target style information corresponding to the DOM tree based on a preset style analysis algorithm; according to the DOM tree and the target style information corresponding to the DOM tree, constructing a Widget tree corresponding to the DOM tree; based on a preset layout optimization algorithm, performing layout optimization operation on the Widget tree to obtain a target Widget tree; and based on a preset loading strategy, rendering the target Widget tree so as to display page content corresponding to the HTML code in the application program. Therefore, the rendering performance and the rendering accuracy of the HTML content in the mobile application can be improved by implementing the method and the device, so that the user experience of browsing and interacting the HTML content in the mobile application is improved.

The invention discloses an intelligent parking management method and system based on digital twinning. And full-life-cycle management is realized by constructing a five-dimensional digital twinborn model. The method comprises the following steps: firstly, extracting information from historical data to generate a knowledge template library, intelligently matching a successful case to generate a project proposal, carrying out space, performance and fault simulation, and synchronously changing information through a mobile application. And closed-loop management from project planning to operation maintenance is realized. A hybrid decision engine combining PPO reinforcement learning and a heuristic algorithm is adopted, the parking space detection accuracy rate reaches 99.7%, the parking space searching time is shortened to 2.7 minutes, and the system response delay is reduced to 200 ms or below.

The system provides a real-time video and audio communication with a 911 call center to perform effective CPR on a patient experiencing OHCA with real-time monitoring and feedback. The system includes a Mobile App that communicates with a smart phone with camera, a wireless remote-CPR equipment stand and emergency CPR kit. The mobile app will automatically send a link to a caregiver's cell phone responsive to a 911 call placed by the caregiver, to establish a secured video call via which the 911 center can guide the caregiver in performance of CPR until an ambulance arrives. This integrated description provides a comprehensive overview of the AI-driven CPR guidance system, detailing its core components, operational workflow, training processes, and scalability. By combining real-time coaching, advanced diagnostics, and EMS coordination, the system offers a groundbreaking approach to improving OHCA outcomes.

The invention discloses a mobile application interface interaction method and device, equipment and a storage medium, and relates to the technical field of interface interaction. The method comprises the following steps: acquiring touch data of a user, and determining a predicted touch position according to the touch data; based on the predicted touch position, generating a corresponding animation request and a rendering task, and loading required resources; acquiring the real-time frame rate of the equipment and the priority of the animation request, sequentially processing the animation request according to the priority, and determining the animation parameter of the interactive animation of the animation request according to the real-time frame rate of the equipment to obtain the interactive animation; rendering the rendering tasks of different classifications to obtain rendering data of the interface; and obtaining screen parameters of the equipment, determining layout information of the mobile application interface according to the screen parameters, the interactive animation and the rendering data, and updating the mobile application interface according to the layout information of the mobile application interface. According to the embodiment of the invention, the user experience of mobile application interface interaction is improved.

An example operation includes one or more of establishing a secure channel between a host platform and a vehicle based on a transport layer security (TLS) handshake between the host platform and the vehicle, downloading an authorization code to the vehicle through the secure channel between the host platform and the vehicle, receiving the authorization code from a mobile application installed on a mobile device, generating a mobile application certificate for the mobile device and transmitting the mobile application certificate to the mobile application on the mobile device, and establishing a secure connection between the host platform and the mobile application on the mobile device based on the mobile application certificate.

There are provided systems and methods for checkout approval through feature flag tracking and guided user data flows. An online transaction processor may provide account establishment and / or know your customer (KYC) data verification at merchant checkout through use of different account processes and feature flags for mobile applications. A user may utilize their mobile device to scan a code at the merchant checkout, which may cause loading of an interface in the mobile application and a corresponding feature flag. Based on whether the user has previously used the application and / or has an account with the transaction processor, the user may be guided to a processing flow for data input, processing, and verification. The data may include KYC data, which may be used to perform a risk assessment of the user and determine a spending limit extendable to the user.