Enabling Low-Power Edge Intelligence with MEMS Microphones from SISTC

As the adoption of TinyML and edge AI continues to expand into consumer electronics, industrial monitoring, and healthcare, ultra-low-power audio sensing becomes a critical enabler. At Wuxi Silicon Source Technology Co., Ltd. (SISTC), we specialize in designing and manufacturing high-performance MEMS microphones and integrated audio solutions that meet the stringent power and performance demands of next-generation edge devices.

MEMS Microphones for Low-Power AI/ML Applications

Modern microcontrollers (MCUs) with integrated AI acceleration are now capable of running machine learning models for tasks like wake-word detection, predictive maintenance, and biometric monitoring. However, the total system power budget remains constrained—especially in wearable, battery-operated, or always-on devices.

This is where SISTC’s low-power MEMS microphones shine.

Key Features of SISTC’s Low-Power MEMS Microphones:

  • Ultra-low current consumption (as low as 60 µA in active mode)
  • High Signal-to-Noise Ratio (SNR) for improved accuracy in ML inference
  • Digital PDM output for direct MCU/DSP interface, minimizing power-hungry analog stages
  • Wide dynamic range, supporting both near-field voice and far-field ambient detection
  • Compact form factor ideal for space-constrained IoT and wearable designs

Explore our full product range:
👉 https://sistc.com/product-category/mems-microphone/

Optimized for TinyML and Edge AI

When paired with low-power MCUs—such as Silicon Labs’ EFM32 or ARM Cortex-M-based chips—our microphones allow developers to build always-on audio sensing with minimal energy drain. These systems support frameworks like TensorFlow Lite for Microcontrollers (TFLM) and CMSIS-NN, enabling local inference for:

  • Wake-word detection
  • Audio event classification (e.g., glass breaking, cough detection)
  • Environmental monitoring
  • Human presence awareness through acoustic cues

Together with quantized ML models and inference accelerators, SISTC microphones become a reliable audio front-end in TinyML pipelines.

Enabling Real-Time Decisions in Power-Constrained Environments

Whether it’s a wearable health monitor that listens for breathing irregularities or a predictive maintenance node capturing acoustic signatures in a factory, power efficiency is non-negotiable.

SISTC’s MEMS microphones help you:

  • Extend device battery life without sacrificing audio accuracy
  • Reduce the need for frequent wake-up cycles
  • Maintain audio capture fidelity in always-on systems
  • Enable local decision-making to reduce cloud dependency and latency

Why Choose SISTC?

🔹 Trusted supplier to top-tier OEMs in smart home, automotive, and industrial sectors
🔹 XMOS strategic partner for advanced DSP integration
🔹 ISO-certified manufacturing with in-house acoustic labs
🔹 Custom module design available for array microphones, noise cancellation, and beamforming applications

📞 Interested in integrating low-power audio sensing into your product?
Let’s talk: info@sistc.com
Or browse solutions: www.sistc.com

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