Advanced sensing platforms combining multiple measurement modalities for richer, more reliable operational insight.
Single-modality sensing has fundamental limitations — a single sensor type provides a narrow view of a system's state. Multi-modal sensing combines complementary measurement types to deliver richer, more robust and more informative data — enabling better diagnostics, higher-confidence automation and smarter decision-making.
Multi-modal sensing refers to the integration of multiple, complementary sensor types within a single measurement system or platform. By combining data from different physical phenomena — such as vibration, temperature, acoustic emission, optical, chemical and electrical parameters — a far more complete picture of machine or process state can be obtained.
High-resolution vibration and acoustic emission measurement for bearing diagnostics, structural health monitoring and early fault detection in rotating machinery.
Infrared and optical measurement for thermal process monitoring, quality inspection, flame detection and visual anomaly identification.
Gas, humidity, particulate and chemical sensing for environmental monitoring, safety applications and process atmosphere characterisation.
Current, voltage, power factor and harmonic analysis for motor health monitoring, energy management and load characterisation.
Raw multi-modal data only delivers value when it is intelligently combined and interpreted. Emerpoint's multi-modal sensing platforms integrate data fusion and edge processing capabilities — reducing data transmission requirements while delivering pre-processed, actionable insights at the machine level.
Emerpoint advantage: our in-house electronics design capability, combined with expertise in embedded AI and IIoT communication, means we can build custom multi-modal sensing platforms tailored to your specific application — from single prototype to industrialised product.
Contact Emerpoint to explore multi-modal sensing solutions for your application.