Multimodal real-time intelligent assistant component
SuhangCloud's multimodal real-time intelligent assistant component4K ultra-high-definition transmission and end-to-end latency of <80ms. It features AI dynamic optimization, anti-interference frequency hopping, and bandwidth adaptive capabilities, and is compatible with multiple platforms. It can provide stable, high-definition, and low-latency real-time video communication solutions for various scenarios such as drones, security, and industrial inspection.

Technological advantages
Adaptable to a wide range of scenarios
Multimodal fusion
High real-time response
High context awareness
High security and privacy
Highly scalable
Low resource consumption
High-concurrency multimodal fusion
The system can integrate information from different modalities and, through algorithms such as multimodal joint representation learning in deep learning, map data from modalities such as text, speech, and images to a unified semantic space, thereby achieving information complementarity and enhancement and improving the quality of understanding and generation.
Context awareness
Multimodal dialogue systems not only understand the input of a single modality, but also capture and utilize the contextual relationships between different modalities, such as understanding the referent in spoken language through visual context, or adjusting the emotional expression of speech synthesis based on the dialogue history.
Natural speech generation and speech synthesis
By combining natural language understanding technology, it can generate fluent and coherent text responses, and through speech synthesis technology, it can convert text into natural and expressive speech output.