2421 results about "Telephony" patented technology

Locator systems are disclosed for locating buried utilities such as conduits, cables, pipes. or wires. The locator system may include image-capturing and position and orientation measuring devices such as magnetic compass, accelerometers, gyros, GPS, and DGPS. The system may associate images captured during the locate process with buried utility position data and the other sensor data. These data and images may be further associated with terrain images from satellites or aerial photography to provide a highly precision map and database of buried utility locations and visual images of the burial site. Information so obtained may be transferred to a hand-held personal communication device, such as a smart phone to show the location of buried utilities in combination with photo-images and / or terrain maps.

One challenge of designing a handheld game controller to accommodate thicker phones and phone cases is that it tends to make the handheld game controller thicker. A thicker handheld game controller increases weight, volume and material expense. In one embodiment, a handheld game controller is provided with an “overhang” that solves this problem by decoupling increased thickness of the phone from the requirement of increasing controller thickness. This allows for the benefits of broader phone and case support, while maintaining a more-comfortable posture.

One challenge of designing a handheld game controller to accommodate thicker phones and phone cases is that it tends to make the handheld game controller thicker. A thicker handheld game controller increases weight, volume and material expense. In one embodiment, a handheld game controller is provided with an "overhang" that solves this problem by decoupling increased thickness of the phone from the requirement of increasing controller thickness. This allows for the benefits of broader phone and case support, while maintaining a more-comfortable posture.

The embodiment of the invention provides a fraud phone real-time recognition method and device based on AI semantic understanding, and the method and device achieve the precise understanding of the dialogue content through the innovative construction of a voice analysis mechanism, the grammatical feature extraction and the semantic role marking. And designing a scene discrimination model based on verbal skill recognition, and establishing a fraud verbal skill recognition strategy for intelligent classification in combination with semantic pattern matching and hierarchical clustering algorithms. A residual fusion assessment mechanism is introduced, and accurate assessment and timely prevention and control of call risks are realized through historical case feature fusion and risk scoring. According to the method, the defects of the traditional technology in the aspects of speech understanding, verbal skill recognition, risk assessment and the like are effectively overcome, and the accuracy and reliability of fraud phone recognition are remarkably improved.

A consumer-operated kiosk can include an inspection area configured to receive a first device from a user. The kiosk can include an imaging device configured to image the first device when the first device is positioned within the inspection area. In some embodiments, the kiosk includes a vending apparatus configured to store a plurality of second electronic devices for purchase. The kiosk can include one or more release mechanisms configured to directly release any one of the second electronic devices from the vending apparatus. The kiosk includes one or more processors operably connected to the inspection area, the imaging device, the vending apparatus, and the one or more release mechanisms. The one or more processors can be configured to cause the imaging device to capture one or more images of the first electronic device, facilitate purchase of the first electronic device based at least in part on the one or more captured images of the first electronic device, receive a request to vend a selected phone from among the phones in the vending apparatus, and / or cause the one or more release mechanisms to release the selected phone directly from the vending apparatus into a vending bay of the kiosk.

The invention discloses a sewage monitoring and early warning method and system, and aims to solve the problems of lagging and high misjudgment rate of traditional monitoring. The multi-modal acquisition module acquires water quality parameters, equipment states and pipe network data in real time through a distributed sensor network, a timestamp is calibrated through linear interpolation of a dynamic analysis engine, spatial features are extracted through concentration gradient calculation, and data are cleaned in combination with Kalman filtering and an isolated forest algorithm. And the intelligent analysis and decision module mines time sequence features based on the LSTM model and outputs pollution level indexes. And the grading response execution module triggers early warning according to three-level threshold values: a first-level APP pushes data, a second-level superposition short message and a third-level telephone alarm and links equipment, a standby purification device is started within 10 seconds, and a WebGL visual diffusion report is synchronously generated. The system constructs an acquisition-analysis-decision-response closed loop which is suitable for industrial and urban pipe network scenes.

The invention discloses a gas user intelligent safety inspection system based on the Internet of Things. According to the invention, through a multi-stage intelligent decision-making mechanism, the active protection capability of gas safety management is significantly improved. A traditional alarm system depends on single sensor threshold triggering, is susceptible to environmental interference and lags in response, while the system can accurately distinguish scenes such as real leakage and cooking interference by fusing multi-dimensional data such as gas concentration, temperature and flame and combining a user behavior mode to dynamically evaluate a risk level. For example, when it is detected that the gas concentration is abnormal but not accompanied by sudden temperature rise or a flame signal, the system automatically lowers the alarm level and only pushes prompt information; and when high-risk leakage is confirmed, the valve is immediately closed in a linkage mode, exhaust equipment is started, synchronous early warning is conducted through multiple channels such as telephones, short messages and a community platform, and it is ensured that the user and rescue strength respond in the golden time.

The invention discloses a fraud phone recognition method and system based on multi-modal data fusion. The method comprises the following steps: acquiring multi-modal data of a plurality of fraud numbers from historical fraud data; constructing a multi-modal fraud data graph, taking each piece of multi-modal data of the fraud number as a node, and constructing a connection edge between the nodes according to an association relationship between every two pieces of multi-modal data; constructing and finely adjusting a large language model; multi-modal data of a to-be-recognized fraud number is obtained, a plurality of nodes are selected from the multi-modal fraud data graph, then the multi-modal data of the to-be-recognized fraud number and the multi-modal data of the selected nodes form cue words, the cue words are input into the large language model, and whether the obtained to-be-recognized fraud number relates to fraud or not and reason analysis for judging that the to-be-recognized fraud number is fraud are output. The invention relates to the field of communication, can improve the fraud recognition accuracy and system adaptability through deep fusion and calculation of multi-mode data such as call audio, short message text and call ticket data, and provides powerful technical support for fighting against novel telecommunication network fraud.

The invention discloses an AI-based telephone answering system, and relates to the technical field of telephone answering. Comprising a real-time voice acquisition and preprocessing module, a voice speed detection and prediction module, a self-adaptive ASR dynamic regulation and control module, a refined voice slicing and decoding module, a keyword detection and voice recognition module, a semantic understanding and intention analysis module and an emergency response and scheduling module. And the real-time voice acquisition and preprocessing module is used for acquiring user voice data of the emergency call in real time, establishing a real-time audio stream transmission channel and quickly preprocessing the acquired audio signal. According to the method, the voice features of the user at the high speed are quickly and accurately captured, and the voice segmentation length of the ASR engine is dynamically adjusted, so that each voice segment is clearer and more accurate, cross-segmentation vocabulary segmentation and recognition errors caused by too high speed are avoided, and the user experience is improved. Therefore, omission and misjudgment risks of the emergency information of the user are effectively avoided in an emergency help-seeking scene.

Some embodiments provide a method for initiating a video conference using a first mobile device. The method presents, during an audio call through a wireless communication network with a second device, a selectable user-interface (UI) item on the first mobile device for switching from the audio call to the video conference. The method receives a selection of the selectable UI item. The method initiates the video conference without terminating the audio call. The method terminates the audio call before allowing the first and second devices to present audio and video data exchanged through the video conference.

The invention belongs to the technical field of artificial intelligence, and relates to a fraud phone recognition method and device, computer equipment and a storage medium. Wherein the call data comprises audio data and metadata; respectively carrying out feature extraction on the audio data and the metadata to obtain audio features and metadata features; performing fraud analysis on the audio features and the metadata features based on a telephone analysis model to obtain a fraud analysis result; if the fraud analysis result is that the call corresponding to the call data is a suspected fraud call, converting the audio data into text data; performing semantic feature extraction on the text data to obtain semantic features; performing fusion processing on the audio features, the metadata features and the semantic features to obtain comprehensive features; and performing fraud recognition on the comprehensive features based on a telephone recognition model to obtain a fraud telephone recognition result corresponding to the call. According to the invention, based on a model combination processing mode, the accuracy and efficiency of telephone fraud identification are effectively improved.

The invention discloses a dynamic concurrency control and resource optimization method of a smart phone outbound system. According to the method, the calling resources are dynamically allocated through the multi-dimensional weight model, and line loads and risk management and control are effectively balanced on the premise of ensuring compliance requirements of operators. Real-time state monitoring of the calling number is combined with an intelligent cooling strategy, so that a risk control mechanism is prevented from being triggered by overuse of a single line, and high-efficiency access of high-value customers is ensured through priority scheduling. The concurrency scale and the calling rhythm are accurately controlled through double constraints of the double-token mechanism, the instant flow is prevented from impacting the bearing limit of the system, it is ensured that the outbound call rate is always within the safety threshold value of an operator, and therefore the call failure rate and resource waste are greatly reduced. A parameter optimization mechanism based on dynamic feedback can automatically adjust a resource allocation strategy according to historical data and operation environment changes, for example, rate limitation is temporarily relaxed and remainder smooth scheduling is started in a burst traffic scene, so that smooth transition of a service peak value is realized.

The invention discloses a telecommunication fraud behavior recognition method, which comprises the following steps: firstly, establishing an APP acquisition specification, performing static and dynamic detection, and constructing a feature library; in the dynamic detection, voiceprint information of call voice is collected and compared with a cloud voiceprint library, and high-risk voiceprints are recognized. Meanwhile, sensitive words in a call are monitored, and a high-risk value is calculated in combination with voiceprint information. And when the high-risk voiceprint is identified and the high-risk value exceeds a threshold value, determining that the phone is a fraud phone and carrying out early warning. In addition, the scheme also considers the association between the voiceprint information and the continuous high-risk value and the voiceprint association degree during the multi-person combined call, thereby improving the recognition accuracy. A fraud-related APP detection model is constructed by fusing multiple features. According to the scheme, voiceprint recognition, sensitive word monitoring and big data analysis technologies are innovatively combined, accurate recognition and early warning of fraud calls are achieved, and the capacity of preventing harassment and fraud is effectively improved. Meanwhile, the scheme further has a self-updating and optimizing mechanism, and high efficiency and stability of long-term operation are ensured.

The present invention provides a method for real-time parsing and dynamic decoding of audio and video streams in 5G enhanced calls, and relates to the field of new generation communication telephone technology. The first method is to perform audio and video media negotiation after the 5G enhanced call starts, read the SDP description information to separate the media description control information and the RTP data packet, separate the audio and video media stream data according to the media load type, parse the load data according to the RTP data protocol format, and parse the load data of the data packet in the call in real time. The second method is to retain the effective frame data, rearrange the frame data and compensate for the silent frame of the extracted AMR-WB voice data, parse the complete AMR-WB audio stream, and then determine the decoding parameters according to the obtained audio clock frequency, and transcode the AMR-WB audio stream into the PCM encoding format. This method can solve the problem that the existing technology cannot perform real-time parsing of audio and video streams under the 5G enhanced call network. Under the premise of ensuring the quality of 5G enhanced calls, recognizable transcoded audio is provided for intelligent interaction in calls.

A computerized-method for providing personalized-content for an interaction of an agent with a customer during an outbound conversational-marketing-campaign of a tenant operated via a cloud-based contact-center-platform. The computerized-method includes: (i) receiving details of the customer and details of the outbound conversational-marketing-campaign of the tenant; (ii) creating a prompt-text based on the received details of the customer and the details of the outbound conversational-marketing-campaign; (iii) generating the personalized content for the interaction with the customer in text-format by executing an LLM AI engine with a trained model with the created prompt-text; (iv) storing a text-file with the generated personalized content in text-format in a contents-database; (v) initiating the interaction of the agent by dialing to the customer; (vi) retrieving the text-file for the interaction from the contents-database; and (vii) sending the text-file to a computerized-device of the agent to be presented via a display-unit that is associated to the computerized-device.

The invention relates to the technical field of construction intelligent monitoring, in particular to a building construction remote intelligent monitoring system based on 5G telephone communication and edge computing. Comprising an on-site sensing unit; the edge processing unit is used for realizing accurate integration of heterogeneous data through an improved self-adaptive weighted fusion algorithm and generating a real-time control strategy in combination with a working condition dynamic model; the 5G communication unit is combined with predictive slice scheduling and a multi-mode anti-interference protocol; and a remote monitoring unit. The industrial-grade sensor array is adopted to collect related data, a monitoring data stream with a timestamp and marked with an abnormal identifier is generated, meanwhile, an edge processing unit complements abnormal data through a data preprocessing module, heterogeneous data integration is achieved through an improved self-adaptive weighted fusion algorithm, and the data processing efficiency is improved. According to the method, the problems that the data processing architecture and the construction multi-source data characteristics are insufficient in adaptation and data validity tracing is missing are effectively solved, and effective tracing and accurate integration of the construction scene multi-dimensional monitoring data are achieved.

Some embodiments provide a method for initiating a video conference using a first mobile device. The method presents, during an audio call through a wireless communication network with a second device, a selectable user-interface (UI) item on the first mobile device for switching from the audio call to the video conference. The method receives a selection of the selectable UI item. The method initiates the video conference without terminating the audio call. The method terminates the audio call before allowing the first and second devices to present audio and video data exchanged through the video conference.

An automatic online voice translation system and method, comprising a virtual translator, a SIP gateway, and a storage, wherein the SIP gateway receives a call from a caller, when the virtual translator is not activated, the SIP gateway establishes a communication between the caller and the agent by streaming in real-time caller's voice directly to the agent and agent's voice directly to the caller, and when the virtual translator is activated, the SIP gateway creates audio files based on the received voice streams of both the caller and the agent, and sends the created audio files to the virtual translator for translating the caller's voice into a language understood by the agent, before transmitting the voice to the agent. In another embodiment, a contact center platform is used for applying features such as call recording, Interactive Voice Response (IVR) service, and conferencing service to the call.

The invention belongs to the field of intelligent information system management, and particularly discloses an intelligent voice telephone robot system and method, voice and image multi-mode data are collected through a microphone and a camera, and after preprocessing, voice, emotion and semantic features are fused through an improved Transform architecture to achieve accurate recognition of user intentions; a double-layer decision network based on reinforcement learning is combined with a dynamic reward function to generate an optimal response strategy; and realizing rapid task migration and parameter optimization of the model by adopting a meta-learning mechanism. The system also has the functions of adaptive noise robustness, multi-language interaction, user portrait dynamic updating, man-machine collaboration and the like. Compared with a traditional scheme, the intention recognition accuracy, the task completion rate and the scene adaptability are remarkably improved, the interaction experience is effectively improved, and the method can be widely applied to the fields of customer service, intelligent marketing and the like.

The invention provides a non-autoregressive end-to-end dialect recognition method for a power supply service telephone system. The method comprises the following steps of dual-track telephone recording corpus preprocessing, automatic pre-labeling and context construction, manual labeling and dialect word library construction, dialect sub-area division and classification modeling, and dialect recognition model training and optimization. Based on the ffmpeg audio processing tool, the standardization and automation level of voice data processing in a telephone system scene is improved, and the manual annotation efficiency is greatly improved. And meanwhile, aiming at the problems that dialects are various in type, significant in difference and the like, a unified dialect labeling rule system is constructed, a model training process is optimized in combination with a transfer learning strategy, and the robustness and generalization ability of the model in a complex telephone voice environment are enhanced while high accuracy is ensured.

The invention discloses a large model enhanced telephone fraud high-risk user identification method and system, and relates to the technical field of artificial intelligence and information security. The objective of the invention is to improve the accuracy of telephone fraud identification by means of multi-level automatic data processing, multi-model training optimization and multi-model probability fusion, and can significantly reduce the calculation cost and resource consumption. According to the technical key points, a multi-dimensional feature system is constructed by analyzing call data of a user; through multi-model training optimization, high-risk probabilities of different models for different users are obtained, multi-level features of user behaviors are deeply mined, and a machine learning model, a deep learning model and a large language model are covered; the output probability values of a plurality of models are combined through a Stacking voting integration method, and the advantage of each model is utilized to prevent a single model from falling into a local optimal solution. According to the method, advantages and characteristics of different models are effectively integrated, and the overall performance and robustness of an identification system are remarkably improved. According to the method, the fraud identification accuracy is improved, and the calculation cost and the resource consumption are remarkably reduced.

Various embodiments described herein relate to a call management system that aims to provide a more efficient, secure, and dynamic technique for authenticating a user based on a location of the user. A server of the call management system receives a phone call from a user device. The server transfers the phone call to an analyst device. When the analyst device accepts the phone call, the server starts an electronic communication session between the user device and the analyst device. The server then determines a current location of the user. The server further determines a question for authentication of the user based on the current location. The server transmits the question to the analyst device. The analyst device transmits the question to the user device via the server. In response to an answer received from the user device, the server authenticates the user.

Kiosk systems and methods for vending mobile phones and other electronic devices to, and / or for purchasing mobile phones and other electronic devices from, consumers are disclosed herein. In some embodiments, such systems can include subsystems for preparing purchased mobile phones for resale, moving mobile phones between different processing stations, transferring data from, e.g., an old phone to a newly purchased phone, etc. In some embodiments, the kiosk systems disclosed herein can purchase a mobile phone from one consumer, process the mobile phone for resale (e.g., by removing personal data, etc.), and then sell the mobile phone to another consumer.

The invention belongs to the technical field of communication, and discloses a communication system supporting NB-IOT voice service, which comprises a terminal, a base station, a core network and an IMS server, wherein the terminal, the base station and the core network all support NB-IOT voice services, the terminal is connected with the base station through a Uu interface, the base station is connected with the core network and the IMS server through an S1 interface, and the terminal is connected with the core network through an Nas logic interface; the terminal is used for initiating and receiving an IMS voice call, supporting establishment of an SIP session with the AS server to complete IMS signaling connection, and establishing a bearer required by IMS voice. According to the invention, the NB-IOT terminal and the NB-IOT base station support measurement and switching functions, so that the voice service continuity is ensured; qCI1 and 5 voice bearing and SIP session processing are established in an NB-IOT terminal, a base station and a core network, and it is ensured that a transmission channel is established for a control plane service and a data plane service of voice; the base station supports voice uplink pre-scheduling, so that the problem of insufficient uplink scheduling capability of the base station is solved.

Telephone calls can be intelligently delivered with identity attributes as described herein. In one example, a system can receives communication associated with a caller requesting to make a telephone call to a recipient, where the communication includes a recipient identifier associated with the recipient. The system can determine a terminating telecommunication service provider (TTSP) to which the telephone number is assigned. The system can then determine identification options available at the TTSP, where each identification option can be configured to provide one or more identity attributes associated with the caller to the recipient. The system can select one or more of the identification options based on a predefined policy and modify the communication to include the one or more identity attributes associated with the one or more selected identification options, thereby producing a modified communication. The system can then transmit the modified communication along a call route to the TTSP.

A method and system for limiting mobile device functionality when the mobile device is located in a pre-defined fixed geographic area. The mobile device may receive a local disabling signal from a disabling device, which, when detected by a Device Owner Application resident on the mobile device, limits the mobile device functionality. Alternatively, the system may use GPS based geofencing to determine that the mobile device is in a predefined geographic area, and then transmit instructions to the mobile device, where a Device Owner Application operates to restrict the mobile device functionality. Mobile device functionality may be limited by restricting the mobile device's ability to send and receive text messages, email messages and phone calls; restricting the mobile device's ability to respond to user input; restricting the mobile device's ability to utilize a web browser; and restricting the mobile device's web browser from accessing predetermined web sites.

Systems and processes are disclosed to leverage conversational AI across voice and digital channels by automating employee interactions with clients to deliver humanized experiences with speed and accuracy. Live phone conversation. Transcriptions between clients and agents are generated. AI assist provides automation based on client interactions. Prompts are provided to speak to customers. Real time updates and summaries are sent to client devices and streamed to customize agent sessions. Auto navigation of agent views and manipulations of the agent screen are optimized by AI. Instant client validations are enabled via audible and visual confirmations on client devices. Various other AI implementations for improved processing our similarly disclosed.

The invention provides an intelligent conference management system, method and device based on a large model and a medium, and belongs to the technical field of computers. The system comprises a pre-meeting module used for automatically generating and sending a meeting invitation through an integrated enterprise schedule system, using telephone notification and IVR interaction to confirm a meeting participation form, and counting a meeting participation condition and a meeting arrival state; the in-conference module is used for collecting multi-source audios based on a microphone array in the conference process, transferring conference content in real time and generating subtitles in combination with a voice recognition technology, synchronously recording videos, recording process information of the conference, and performing structured analysis; and the post-conference module is used for extracting key indication information and backlogs in the process information of the conference, generating a standardized conference summary, automatically distributing tasks, tracking the progress and supporting semantic retrieval of historical conference records. According to the invention, a large model technology is utilized, and technologies of cloud computing, big data, artificial intelligence and the like are combined, so that automatic management of the whole conference process is realized.

The invention discloses an offline multi-channel customer demand processing system based on grid control. According to the system, a layered system and a multi-module cooperation mode are adopted, WeChat, phone and other multi-channel customer appeal data are collected through the data collection layer, and after cleaning and fusion are conducted through the data processing layer, the functions of work order control, service quality analysis and the like are achieved through the service logic layer. The system utilizes a plurality of advanced algorithms, such as natural language processing, voice recognition, intelligent work order distribution and other technologies, improves the appeal processing efficiency and quality, constructs a service quality evaluation model, and carries out risk prediction and intelligent decision making. In the aspect of performance, a cache and distributed architecture is adopted to guarantee the response speed and the concurrent processing capability, and good expansibility and compatibility are achieved. In addition, data security and privacy protection are ensured through an AES encryption algorithm and a block chain technology, and an algorithm model is optimized regularly. The system effectively solves the problem of a traditional service mode, and improves the service level and customer satisfaction of a power enterprise.

The invention relates to the technical field of public safety emergency processing, and discloses an alarm receiving and processing method based on NLP voice recognition and AI agent guided question answering, a user inquires a reporter by means of a guided question answering function of a system or a telephone robot and records the answer made by the reporter in real time, the system calls NLP voice recognition through an interface, and the response of the reporter is recorded in real time. Identified contents are submitted to an AI agent for extraction, abstracting, summarization and structuralization of main contents, and the main contents are displayed to a user and serve as important basic information elements of a case. After the whole alarm receiving and processing process is finished, related content is automatically extracted, a record is generated and printed, the alarm receiving and processing time of a single case can be shortened from 1-3 days to less than 1 hour, and the case handling period is shortened.