, empowers OEMs with semi-finished loudspeaker components engineered to harmonize with on-device AI processing pipelines.
Our components are not merely transducers-they are sensor-integrated audio nodes, designed to feed real-time acoustic data into AI models for adaptive sound optimization:
表格
| AI-Enabled Feature | ||
|---|---|---|
| | Embedded piezoelectric feedback loops for real-time distortion correction | Enables AI voice isolation in noisy environments (e.g., video calls on foldables) |
| | Accelerometer-coupled resonance mapping | |
| | On-chip DSP with pre-trained voice activity detection (VAD) kernels | Reduces power consumption by 30% during idle states; compatible with Windows Sonic and Dolby Atmos for AI laptops |
| | Tunable acoustic impedance via micro-actuators | Supports AI-driven spatial audio rendering in AR glasses and compact wearables |
| | I2S-linked metadata tags for content-aware EQ |
Why AI-native design matters:
Zero-Code Integration: Pre-loaded firmware allows direct connection to Qualcomm QCS610, MediaTek Kompanio, and Intel Core Ultra audio stacks
Edge-Optimized: All drivers support 16-bit fixed-point audio processing-no cloud dependency
: 92% of materials are recyclable; packaging uses 100% FSC-certified paper with water-based inks