Lingxi AI Large Model provides real-time multilingual speech-to-text transcription services with high accuracy and low latency. It can automatically identify speakers, segment dialogue content, and output structured text results with timestamps. It supports multi-track speech separation and semantic sentence segmentation optimization to ensure that meeting minutes, teaching seminars, court proceedings, and other content are complete, clear, and traceable.
Based on AI semantic analysis and summary generation technology, the system can automatically extract meeting topics, discussion points, and decision conclusions, and generate structured meeting minutes. It supports dual-mode input of voice and text, intelligently recognizes the content of participants' speeches, distinguishes between primary and secondary points, and generates editable and shareable minutes documents, greatly improving post-meeting information synchronization and team collaboration efficiency.
In a meeting setting, even with a single microphone, the system can automatically distinguish between different speakers' voices using voiceprint biometric technology, enabling the content of speeches to be categorized and organized by speaker. This technology effectively improves the readability and coherence of meeting minutes, providing powerful support for voice transcription and information retrieval in multi-person dialogue scenarios.
Lingxi AI's large model innovatively implements voice-driven intelligent resource scheduling functions, allowing users to quickly complete complex information retrieval and display operations through natural language commands. The system supports precise multi-modal resource invocation, such as: case retrieval: “Search for law enforcement cases involving government agencies over the past three years, filter out internet-related cases, and display them on the screen”; media control: “Skip to the key section at 3 minutes and 20 seconds in the promotional video and display it in full screen”; Data visualization: “Retrieve a company's 2022 marketing data and generate trend charts to display on the main screen.”
Leveraging its powerful natural language understanding and multimodal interaction capabilities, the Changtu Lingxi AI large model enables precise control of video display functions via voice commands. Users can quickly access designated surveillance footage, meeting videos, or data dashboards using voice commands, which are then intelligently split-screened and displayed on the command center's large screen. Additionally, the system supports voice-driven collaborative operations among seats, such as screen sharing, seat-to-seat calls, and emergency response coordination, significantly enhancing command and dispatch efficiency.
The AI intelligent operation and maintenance module is based on artificial intelligence, big data analysis, and automation technology, providing fault detection and early warning, event correlation and root cause analysis, as well as automated response and repair functions. The module can monitor the operating status of IT resources such as servers, network devices, and storage systems in real time. Combined with time series prediction models and anomaly detection algorithms, it can predict potential faults in advance and issue timely warnings. For example, when specific conditions are detected, the system can automatically execute pre-set operations for repair, thereby improving system stability and operation and maintenance efficiency.
The intelligent voice control system developed using Lingxi AI's large-scale model makes environmental control simpler and more efficient than ever before. Users simply need to issue natural voice commands, such as “Turn on the lights on the left side of the exhibition hall,” “Activate the main display screen,” “Switch the audio to visitor mode,” or “Set the air conditioning to a constant temperature of 26°C,” and the system will accurately recognize and immediately execute the commands. Leveraging advanced voice recognition and semantic understanding technology, the system supports multi-device联动 control, automatically coordinating the collaboration of sub-systems such as lighting, displays, audio, and temperature control.
The AI data analysis module provides multi-dimensional data visualization, keyword search and semantic search, predictive analysis and descriptive analysis, AI intelligent reasoning, and AI intelligent summarization. Based on artificial intelligence and big data processing technology, this module can extract valuable information from massive amounts of data to assist in decision-making. For example, it can analyze historical data to predict trends and help enterprises make scientific and reasonable decisions in resource allocation.
Using cutting-edge speech recognition and natural language processing technology, we provide users with an efficient and accurate information retrieval experience. Users simply need to issue a voice command, and the system will intelligently analyze their needs, respond in milliseconds, and accurately deliver relevant documents, data, and materials, completely eliminating the cumbersome manual retrieval process of the past.
The AI behavior recognition and analysis module can monitor and recognize the behavior of individuals or groups in complex scenarios in real time, including smoking, falling, fighting, and playing with mobile phones. Once abnormal behavior is detected, the system immediately triggers an alarm mechanism to ensure that measures are taken in a timely manner. For example, in an industrial production environment, the system can automatically identify whether workers are wearing safety helmets in accordance with regulations, and immediately alert them if they are not, thereby improving the efficiency of on-site safety management.
The AI image analysis module integrates technologies such as OCR (optical character recognition), speech recognition, image classification, and object detection. It can not only recognize text, people, objects, and their states in videos, but also monitor and identify situations such as flames, smoke, mask wearing, safety helmet wearing, vehicle and pedestrian counting, road potholes, and water accumulation in real time. For example, in the field of smart security, the system can automatically detect early signs of a fire and promptly issue an alarm, thereby gaining valuable time for fire response.
