The VibroSense Tiny AI Chip is a cutting-edge neuromorphic front-end chip specifically designed for preprocessing vibration data, crucial for Industrial IoT (IIoT) applications. It tackles common challenges such as high data volume and transmission costs by performing real-time processing at the sensor level. This innovative approach reduces the required bandwidth and data storage, making predictive maintenance and machine health monitoring more cost-effective and efficient.
Vibration analysis is fundamental for predictive maintenance, enabling early detection of mechanical issues like imbalance, bearing failures, and gear wear. Traditional processing methods involve collecting vast amounts of vibration data, which is costly to transmit and store. The VibroSense chip alleviates these burdens by reducing data volumes by 1000 to 4000 times and facilitating long-distance, narrow-bandwidth communication.
This chip supports real-time applications by integrating neural networks to preprocess complex vibration signals locally, even in the presence of noise. This ability ensures precise data handling and reduces reliance on cloud processing, thereby enhancing response times, reliability, and overall system efficiency in industrial environments.
