The product is an advanced industrial sensing system that uses high-frequency millimetre-wave radar combined with embedded artificial intelligence to monitor the dynamic behavior of machines and electromechanical systems in real time. Unlike traditional monitoring solutions that rely on wired vibration sensors or accelerometers attached directly to equipment, this system operates entirely without physical contact. By analyzing radar reflections, it can detect micro-vibrations, displacements, structural resonance, and subtle motion patterns that indicate changes in machine condition.
At the core of the system is a compact radar sensing module integrated with an embedded processing platform capable of performing signal processing and machine-learning inference directly at the edge. Raw radar signals are converted into meaningful features such as vibration spectra, motion irregularities, or dynamic anomalies. These features are then interpreted by embedded AI algorithms that identify abnormal patterns associated with mechanical degradation, misalignment, imbalance, or other operational inefficiencies.
Because processing occurs locally, the system provides low-latency analysis and does not require constant cloud connectivity. This architecture reduces data transfer, enhances cybersecurity, and ensures that sensitive operational data remains within the industrial environment. Results can be transmitted through standard industrial communication protocols, allowing seamless integration with existing control systems, maintenance platforms, or digital twin environments.
The contactless design offers significant advantages in industrial settings. It eliminates the need for sensor mounting, cabling, and frequent hardware maintenance, making deployment faster and less intrusive. It also allows monitoring of components that are difficult to access or exposed to harsh conditions such as high temperature, vibration, dust, or mechanical stress.