349 results about "Mobile apps" patented technology

An AI-powered agile project management system for automatic risk assessment and mitigation, including: a risk identification module configured to extract project data from agile project management tools, including but not limited to Jira, Trello, Asana, and Monday.com, and identify potential risks using machine learning and NLP; a risk analysis module configured to assign risk scores based on probability, impact, and severity using predictive analytics, where the module uses historical data, real-time project status, and external dependencies to determine the severity and impact of risks; a real-time monitoring module configured to continuously track project conditions, detect anomalies, and generate immediate notifications via email, mobile apps, or messaging platforms when high-risk events are identified; a risk mitigation module configured to dynamically recommend and execute proactive corrective actions such as task reassignment, resource optimization, schedule adjustments, and implementation of alternative strategies using AI-driven decision-making, where the actions can be automated through predefined workflows or manually adjusted based on AI recommendations; an AI-driven task prioritization module configured to dynamically prioritize tasks based on risk factors, project deadlines, and team workload distribution; an integration module configured to ensure seamless compatibility with existing Agile project management frameworks through API-based synchronization; a learning and continuous improvement module configured to refine risk prediction models over time using machine learning and historical risk mitigation results, with AI-driven models continuously updating risk assessment mechanisms based on evolving project conditions, industry-specific risk factors, and historical performance metrics; a compliance and audit reporting module configured to automatically generate risk reports, audit logs, and compliance checklists; a customizable risk assessment configuration module configured to allow project managers to define custom risk parameters, probability thresholds, and mitigation preferences; an interactive dashboard module configured to visualize data in real time, including risk trends, effectiveness of remedial actions, and analysis of project progress; and a scalability feature configured to be used in industries such as IT, healthcare, finance, construction, and manufacturing.

The invention provides a power cable comprehensive online monitoring system, and relates to the technical field of data processing, and the system comprises the steps: extracting a partial discharge distribution point set in a multi-dimensional feature fusion data set, and calculating the weight factor of each distribution point; based on the weight factors, a weighted point set concave packet generation algorithm is adopted to construct a partial discharge source probability distribution boundary, and a boundary feature point set is obtained; inputting the boundary feature point set and the multi-dimensional feature fusion data set into a convolution-long and short-term memory hybrid neural network to generate a diagnosis result; and a third-level early warning signal is generated based on a diagnosis result, early warning information is pushed to a remote operation and maintenance terminal and a mobile APP through an MQTT protocol, a digital work order service is automatically triggered to generate a maintenance task, and positioning verification is executed. According to the invention, the accuracy of monitoring and fault diagnosis is improved.

The invention discloses a cattle and sheep farm feeding safety detection method and system based on real-time monitoring, and the method comprises the steps: installing a flow velocity sensor, a flow sensor and a pressure sensor at key positions of a feed conveying pipeline, obtaining the time sequence data of feed conveying in the pipeline, carrying out the preprocessing and feature extraction of the data, and carrying out the feature extraction of the data; and constructing a feed conveying state prediction model, performing online prediction on the conveying state in real time, and triggering early warning when the deviation between a predicted value and an actual value exceeds a threshold value. And specific abnormal types such as pipeline blockage, leakage or equipment failure can be judged by analyzing the change trend of the abnormal data. And abnormal information is pushed to operation and maintenance personnel through the mobile App to assist in quickly positioning and processing problems. According to the method, the model can be continuously optimized by using new abnormal data, the identification capability of different types of anomalies is improved, a decision basis is provided for pipeline maintenance, and the operation reliability and safety of the feed conveying pipeline are effectively improved.

The invention discloses a bucket wheel anti-collision system and an anti-collision method, and relates to the technical field of bucket wheel anti-collision. The system comprises a data acquisition module used for acquiring operation data, environment data and historical collision data of the bucket wheel machine, the operation data comprises the position, the speed, the angle and the operation mode of the bucket wheel machine, and the environment data comprises a coal yard three-dimensional map, obstacle coordinates and meteorological data; the historical collision data comprises accident records and false alarm analysis. The state and environment of the bucket wheel machine are mastered in real time through high-precision positioning and multi-mode sensing, collision is effectively prevented in combination with intelligent graded alarm, and safety is remarkably improved. The risk is predicted through big data analysis and machine learning, the operation path is dynamically adjusted, operation is optimized, the maintenance cost is reduced, and the service life of equipment is prolonged. Meanwhile, the cloud monitoring and the mobile terminal APP support remote operation and real-time information pushing, the convenience and applicability of the system are enhanced, and the management efficiency is improved.

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 provides a gait detection and anomaly recognition system based on multi-sensor fusion, and the system comprises a sensor integration module which is used for deploying a thin film pressure sensor and a lightweight surface myoelectricity sensor and carrying out the data collection; the data preprocessing module is used for preprocessing the collected data; the feature extraction and fusion module is used for extracting and fusing features of the collected data to obtain a multi-modal feature vector; the gait monitoring module is used for constructing a recognition model; the abnormal recognition module is used for carrying out recognition and real-time feedback on abnormal gaits by utilizing a recognition model; and the doctor end interaction module is used for designing a mobile end APP and a doctor end management platform. According to the invention, through the multi-modal data and the portable wearable device, the diversity of detection modes is increased, the detection precision is improved, the method can be applied to multiple scenes, and the environmental limitation is broken; and meanwhile, by deploying a deep learning model, the intelligent degree of gait anomaly recognition is improved, and comprehensive technical support is provided for rehabilitation of the patient.

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.

The invention belongs to the field of disease and pest recognition, and provides a potato disease recognition method based on improved YOLOV8. Firstly, early blight, late blight and healthy leaves of potatoes are collected, and then image preprocessing and feature region labeling are carried out; secondly, replacing an original backbone network with an OfficientViT structure, and introducing an SCSA collaborative attention module into an initial model network structure to optimize a YOLOV8 network model; secondly, training the optimized potato disease recognition model on the basis of a PyTorch framework, and setting proper model parameters and training times to enable the trained model to achieve higher recognition accuracy through verification; and finally, deploying the constructed potato disease identification model on a mobile terminal APP to realize real-time identification of field potato diseases, so that the invention provides a method capable of accurately and rapidly identifying potato diseases, which is beneficial to improving agricultural production efficiency and crop yield.

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 lighted steering wheel device is provided. The device is comprised of a steering wheel that integrates customizable and functional lighting features to enhance both safety and aesthetics. The steering wheel comprises various materials and configurations, with embedded flexible LED strips encased in impact-resistant, UV-protected casings, capable of displaying a wide range of static or dynamic light patterns. These patterns can be synchronized with vehicle systems, such as flashing red for emergency braking or reacting to turn signals, and brightness can adjust based on vehicle speed. The device includes a control interface embedded in the wheel and offers further customization via a mobile app, which provides remote access to light settings and synchronization features. Additionally, the device can generate safety alerts, utilizing proximity sensors, GPS integration, and haptic feedback for a multisensory driver experience, with an illuminated emblem adding a complementary design element.

The present invention provides a method for connecting to a communication network associated with a micro market. The method includes scanning a code associated with an ephemeral app to be downloaded to a mobile communication device. In an example, the method includes associating a web address with a code to find the ephemeral app and linking the web address with the mobile device. In an example, the method includes transferring the ephemeral app in a first format using the Internet to a storage location on the mobile communication device, and initiating the ephemeral app onto the mobile device to open the ephemeral app. The method includes sensing for a Bluetooth beacon associated with a spatial area of one of the micro markets and connecting using the Internet to a server associated with the micro market to transfer the catalog and list of items associated with the micro market.

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 an industrial vehicle intelligent instrument control system and method based on multi-mode biological recognition, and the method comprises the following steps: S1, collecting fingerprint data of a driver, and carrying out the preprocessing; s2, fingerprint texture features are extracted, and weighted coding is carried out on local texture distribution and a global topological structure; s3, constructing an identity verification window, and performing bidirectional attention comparison on the fingerprint feature vector and the fingerprint template; s4, judging whether the identity verification is passed or not according to the similarity score, and if the verification is passed, triggering a buzzer or a voice broadcast device to generate control feedback; s5, starting the vehicle, awakening display, loading an instrument information page, and writing an identity verification result into a system buffer area; and S6, synchronizing an identity verification result to a mobile terminal APP or an applet platform through the Bluetooth MCU chip. According to the invention, industrial vehicle intelligent control based on fingerprint identification is realized, and the identity verification accuracy, the operation safety and the management efficiency are improved.

The invention relates to the technical field of information processing, in particular to a configurable electronic express sheet printing implementation method, device and equipment and a storage medium, by dynamically configuring an express sheet template, storing the express sheet template in a template library and importing the express sheet template into a cache, and preposing updating of the express sheet template, the flexibility is high, global controllability is achieved, the express sheet template can be updated to the whole network in time, and the efficiency is high. The method comprises the following steps of: shortening a processing period, receiving an order printing request instruction sent by a mobile APP, when the order printing request instruction needs to configure an express sheet, identifying a template format required in the order printing request instruction, calling a target template corresponding to the template format from a cache, extracting order information in the order printing request instruction, and filling the order information in the target template. According to the method, the filled template is obtained, the configuration printing instruction is generated according to the filled template, the new printing instruction is directly generated at the data generation end according to the newly added express sheet template, a new printing demand is quickly responded, the printing efficiency is improved, the user experience degree is improved, and the user satisfaction degree is improved.

A horticulture time lapse camera photo and sensor data capture system is disclosed. The horticulture time lapse camera photo and sensor data capture system is configured to capture time-lapsed photos and corresponding time-lapse series of sensor data, combine the photos in a video sequence, generate sensor data charts and visualizations, synchronize the collected data points and sensor data charts and visualizations to a timeline associated with a playback time of the video sequence, and provide the time-sequenced video for a user to view with the corresponding time-sequenced data points and sensor data graphical objects via mobile app or website. The system takes all parameters and sensor measurements and converts them into charts and graphs for viewing along with time-synchronized video sequences of the time-lapse photography, thereby providing valuable information for a user to remotely monitor plants and control the growing environment.

The invention relates to a fire door remote debugging system and debugging method based on WiFi networking, and belongs to the technical field of fire door system debugging, the debugging system comprises a fire door system, a server and a client, the fire door system is connected with a network through a USB-WiFi module and comprises a fire door monitor, a fire door electric door closer and a fire door electromagnetic releaser; the server comprises a communication service module and a remote debugging service module; the client comprises a remote debugging platform and a mobile phone APP. The debugging method comprises an on-line debugging mode and an off-line debugging mode: in the on-line mode, the monitor communicates with the server through a TCP / IP protocol to realize remote parameter modification, state query and fault diagnosis; and in the off-line mode, the WiFi module is converted into a hotspot, and the mobile phone APP is directly connected and completes configuration issuing and debugging.

Systems and techniques may generally be used for device-specific passkey communication. An example technique may include authenticating a customer at a banking device, determining, at the banking device, that the customer is a registered mobile app user, and retrieving, in response to determining that the customer is the registered mobile app user, a passkey paired to an account of the customer and paired to a mobile device of the customer. The example technique may include sending, from the banking device via a proximity-based communication protocol, the passkey to the mobile device of the customer.

The present disclosure relates to software, mobile app, or product powered by a machine learning model capable of making recommendations about market-current documents to a user in response to a prompt or query by ingesting text from a corpus in a public database, isolating discrete text elements within the corpus, embedding information from the discrete text elements into vector format, storing the embedded information in vector database, and retrieving the embedded information from the vector database in response to a user query.

Smart insoles provide comfort and support while analyzing gait, improving posture and alignment, and tracking fitness metrics. Raw data from the smart insoles is fed into normative data algorithms to create a unique user report in real-time. A mobile app associated with the smart insole connects users to caregivers, articles, and personalized exercises. Monitoring of these parameters is used for managing chronic pain and sedentary lifestyle. The smart insole is a smart wearable device with a mobile app to monitor and manage chronic pain, which is an effective strategy in reducing foot pain and increasing physical activity.

An extendable and retractable drop step positioned below a door of a vehicle to assist a person in climbing into the vehicle includes a power transmission mechanism for moving the drop step to and from an extended position, and a guiding arrangement for guiding the drop step along an inclined linear path from the retracted to the extended position. Loads on the extended step are borne by supports fixed to the vehicle, and not by the power transmission components. The step is extended and retracted along the inclined linear path in response to rotation of a motor shaft in a first direction to extend the step and rotation of the motor shaft in an opposite direction during retraction, ensure smooth and reliable operation. In addition, extension and retraction of the step can be controlled through a mobile app or Infotainment system interface, via an electronic control unit of the vehicle.

The invention relates to an automatic detection method for mobile terminal APP page aging design, belongs to the field of mobile application development, and solves the problem that the existing mobile terminal APP aging design is difficult to detect. The method comprises the steps that a to-be-tested mobile terminal is connected, and a page screenshot of a to-be-tested APP on the to-be-tested mobile terminal and all page elements in a corresponding page are extracted to serve as to-be-tested objects; analyzing the page of the to-be-tested object by using a layout analysis method based on each page element of the to-be-tested object to obtain a page layout structure of the to-be-tested object; extracting visual elements of the page screenshot of the to-be-tested object; and based on a preset aging-suitable design rule, performing aging-suitable analysis on the page layout structure and the visual elements to obtain an aging-suitable design evaluation result of the to-be-tested APP. Unified rules are realized, the aging-suitable design of the mobile terminal APP is automatically detected, the test analysis result and the modification suggestion are generated, and the problem point can be quickly modified.

The present invention provides a system for adding offline infrared devices based on a smart home gateway. The system includes a cloud server, a smart home gateway, an infrared transponder, a mobile app, and a smart home gateway webpage. The cloud server is used to store an infrared code library and the brands and models of infrared devices. The smart home gateway serves as an offline storage medium for the infrared code library and is signal-connected to the infrared transponder. The infrared transponder is used to receive and transmit infrared data / signals. The mobile app and the smart home gateway webpage are signal-connected to the cloud server and the smart home gateway. The system uses the smart home gateway as the offline infrared code library storage medium, the infrared transponder as a bus device, and added infrared devices such as air conditioners and televisions as virtual devices. Controlling the virtual devices through terminals such as the mobile app and the smart home gateway webpage effectively controls the actual infrared devices.

The invention discloses a preparation method and application of nano-enzyme molecularly imprinted detection particles, a molecularly imprinted material is developed on the basis of a FeN3P nano-enzyme material, the molecularly imprinted material is fixed on filter paper to realize high-sensitivity and high-selectivity detection of 25-(OH) D3, real-time field detection of the molecularly imprinted material is realized by matching with a self-researched mobile phone APP: Visual Method, and the nano-enzyme molecularly imprinted detection particles have very high practical application value. Accurate data support is provided for early warning and personalized intervention of osteoporosis, community screening and long-term health management lack of 25 (OH) D3 can be promoted, and the method has important scientific value and social significance in reduction of the incidence rate of osteoporosis and optimization of medical resource allocation.

Certain aspects of the present disclosure provide systems and methods for linking an electric vehicle to a charging session to facilitate charge scheduling and charge optimization. In examples, a method includes receiving a charging request initiated by a proximity-based communication from a wireless identification tag, the charging request including a wireless identifier associated with the electric vehicle and derived from the wireless identification tag. The method also includes authorizing the charging request based on the wireless identifier, retrieving a unique telematics identifier corresponding to the wireless identifier, and querying a telematics system with the unique telematics identifier to obtain vehicle-specific data, where the vehicle-specific data includes a state of charge attribute for a battery associated with the electric vehicle. The method further includes determining a charge amount based on the state of charge attribute and authorizing the determined charge amount for the charging session.

This invention is a smart system that operates IoT and has three main departments to prevent water loss and improve the water consumption amount in the agriculture field and any other area that consumes heavy sources of water. The method predicts the weather conditions and all the possible occurs such as strong winds, rain, daily or hourly tempreture, etc with related rain detection, wind speed sensor, and tempreture sensor. The intelligent irrigation structure comprises three main sections which are the meteorological station to measure the current weather, the soil moisture measurement section setting minimum and maximum humidity levels based on the type of crop to improve product quality and conserve water, and the central controller part that indicates services to the owners of the farm. This invention operates automatically and allows farm owners to monitor their farm and sensor information through SMS and a mobile app.

The invention relates to a systematic risk real-time monitoring and artificial intelligence intervention method and system based on a multilayer dynamic game model, and belongs to the technical field of risk management and decision support. Microscopic, mesoscopic and macroscopic multi-level data are collected in real time through technologies such as Internet of Things equipment and a mobile terminal APP, and cross-level data fusion under privacy protection is realized based on federated learning; constructing a three-level dynamic game model comprising an individual layer, a group layer and a system layer, quantifying a decision trap index (DTI), strategic elasticity (delta S) and a resource regeneration rate (delta R), and calculating a systematic risk index (SRI) in combination with a reinforcement learning dynamic optimization weight coefficient; an intelligent intervention strategy is triggered based on an SRI threshold value, policy tools such as dynamic subsidy and supply chain recombination are automatically executed through a block chain intelligent contract, and a'monitoring-early warning-intervention-feedback 'closed loop is formed. The method can be widely applied to the fields of financial supervision, public policy regulation and control, supply chain risk management and the like, and has remarkable social and commercial values.

Exemplary embodiments of the present disclosure are directed towards artificial intelligence-based system for automated preventative health screening and data-driven health risk analysis. The system integrates Generative AI with the CDC's Syndemic Model to enable anonymous, stigma-free health screening and care linkage. The system leverages oral health as neutral entry point to assess interconnected risks across sexual, mental, and behavioral health domains. Using Large Language Models trained on validated sources and AI-based image analysis of oral and skin abnormalities, system computes “Chance screening Scores” to classify risks for communicable (e.g., HIV, STIs, Mpox) and non-communicable diseases (e.g., diabetes, hypertension). Accessible through mobile apps / QR codes without requiring login, system generates Unique IDs for test kits, telehealth services, and rewards. Features include actionable recommendations, gamified Stigma Meter, geographic insights, language translation, and data control options. This innovative solution fosters informed decision-making, reduces stigma, and empowers users to manage their health confidentially and effectively.

This invention discloses a control method for an intelligent washing machine. The method includes the following steps: When a user needs to do laundry, they select one of the preset washing modes in the washing machine from the device list via a mobile phone. After confirming, the user touches the washing machine's NFC chip with their phone. The mobile phone writes the washing and care process information corresponding to the selected washing mode to the washing machine's NFC chip. The washing machine's NFC chip then sends the washing and care process information to the washing machine's control system, completing the setting operation of the washing machine's operating process. The washing machine controller then sends the washing machine's full status data to the mobile phone via the NFC chip. In this invention, the washing machine controller interacts with the mobile phone via the NFC chip. The user can set the washing and care program of the washing machine through a mobile app, transmit control commands to the controller via the NFC chip, obtain the status data of the washing machine during operation, and upload it to a cloud server in real time, effectively reducing the implementation cost of intelligent washing machine control.

Smart Pot Sensor with Automated Soil Additive Spraying and Plant Health Analysis, Indoor plant care can be challenging due to limited knowledge in soil monitoring, nutrient management, and environmental conditions, leading to poor plant health. Current solutions often detect issues too late or fail to provide personalized care for each plant. This invention introduces a smart pot system that integrates AI, sensors, and automated nutrient spraying. It monitors soil parameters and environmental factors in real-time, using predictive algorithms to deliver nutrients precisely when needed. A mobile app provides personalized care recommendations, optimizing plant growth and reducing manual intervention.

The utility model provides a temperature-sensing fire extinguishing patch, and belongs to the technical field of fire extinguishing. The temperature-sensing fire extinguishing patch comprises a base plate, two induction control components are installed on one face of the base plate, an alarm is arranged, a wire pipe is integrally manufactured and formed between the induction control components and the alarm, the induction ends penetrate through the four corners of the base plate and extend outwards, and the induction control components are electrically connected with the alarm through the interior of the wire pipe. A fire extinguishing component is arranged on the other face of the base plate, and a pasting component is arranged on the induction control component. Through integration of the high-precision control main board, the temperature sensor, the WiFi module and the high-decibel loudspeaker, a high-decibel alarm can be given out through the alarm device and alarm information can be sent to a mobile phone APP through the WiFi module before the environment temperature reaches a preset safety threshold value, initial spreading of a fire is effectively avoided, and the timeliness of fire prevention and control is improved.