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Arc Fault Detection

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Fast, Accurate Arc Fault Detection for Safety-Critical Systems


Electrical arc faults pose serious safety risks and can cause costly system downtime. Our arc fault detection solution uses Machine Learning (ML) at the edge to detect hazardous arcs with exceptional speed and accuracy, outperforming traditional rule-based methods.

Designed for both Alternating Current (AC) and Direct Current (DC) systems, this solution delivers sub-millisecond detection while maintaining a minimal memory footprint.

Designed to Solve Real-World Problems


Improved Safety

Faster and more accurate fault detection

Reduced False Positives

Minimize nuisance trips and downtime

Small, Efficient ML Models

Optimized models fit easily into embedded systems

Proven Compliance

Tested and validated with industry datasets and standards

Production-Ready Implementation

Our arc fault detection solution is delivered as a turnkey firmware solution that runs entirely on a low-power microcontroller (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


Arc Fault Detection Pipeline


The arc fault detection model is optimized using curated electrical signal datasets and tuning techniques designed for safety-critical, real-time embedded systems. This proprietary approach enables highly accurate detection, minimal latency, efficient resource utilization and predictable behavior across supported platforms.

Smart Sensor Analytics

Sensor systems can detect aging and environment-driven degradation, predict and prevent system failures and provide early warning for hazardous leaks to ensure optimal safety and efficiency.

Explore Our Other AI-Based Solutions


Our edge AI portfolio extends beyond audio to include intelligent facial recognition interfaces, 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.

Always-On Keyword Spotting 

Our low-power audio interface solution enables always-on wake word detection and command recognition, delivering fast response times without streaming audio to the cloud.

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.

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