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Always-On Keyword Recognition
Voice interfaces are expected to be instant, reliable and power-efficient. Our keyword spotting solution delivers high-accuracy, always-listening voice activation on a low-power microcontroller (MCU), without requiring cloud connectivity or external accelerators. This solution is optimized for embedded systems that demand long battery life, fast response times and simple integration.
Designed to Solve Real-World Problems
Always-On, Low Power
Our keyword spotting solution features continuous listening without draining power budgets, enabling long battery life in energy-constrained systems.
Private, Instant Response
On-device inference keeps audio data local while eliminating network latency for fast, reliable interaction.
Robust in Real-World Noise
Our solution provides reliable keyword detection even in noisy environments with background interference and acoustic variability.
Easy Customization
Customizable wake and command words with a streamlined workflow that simplifies development and integration.
Production-Ready Implementation
Our keyword spotting solution is delivered as a turnkey firmware solution that runs entirely on a low-power MCU, eliminating the need to build or train models from scratch. Well-defined interfaces and tooling simplify integration into existing applications, enabling faster evaluation and deployment.
Key Advantages
Runs entirely on low-power MCU
Customizable wake words and command phrases
Reliable operation at low SNR
Optimized for memory- and power-constrained systems
Low-latency for real-time operation
Software Development Flow
The keyword spotting model is optimized by leveraging datasets and tuning techniques tailored for embedded, low-power devices. This proprietary approach enables consistent performance, efficient resource utilization and predictable behavior across supported platforms.
Intelligent Human-Machine Interfaces at the Edge
Embedded Artificial Intelligence (AI) is transforming how people interact with machines, enabling systems to perceive user intent and respond naturally in real time. By processing inputs such as voice directly at the edge, intelligent Human-Machine Interface (HMI) applications improve usability, responsiveness and safety across industrial, commercial and consumer systems. These on-device interfaces reduce latency, preserve privacy and eliminate reliance on cloud connectivity, delivering more reliable and intuitive human-machine interaction.
Explore Our Other AI-Based Solutions
Our edge AI portfolio extends beyond audio to include intelligent facial recognition, predictive maintenance and safety-critical monitoring. These solutions are optimized for real-world deployment, delivering secure, low-power inference at the edge without reliance on the cloud.
Arc Fault Detection
Our arc fault detection solution identifies hazardous arc faults in AC and DC systems in real time, enabling faster fault detection and improved system protection with minimal false positives.
Facial Recognition with Liveness Detection
Our facial recognition with liveness detection solution enables accurate, secure and fully on-device facial recognition, eliminating reliance on the cloud.
Predictive Maintenance
Our predictive maintenance solution analyzes sensor data such as vibration, current or temperature to detect anomalies early, helping prevent equipment failures and reduce unplanned downtime.