sensoriga

Sensoriga is a term used to describe a class of integrated sensor systems that fuse data from multiple sensing modalities into a unified processing workflow. The concept emphasizes interoperability, modular design, and on-device data processing to enable real-time decision making.

A sensoriga system typically combines diverse sensors such as optical (visible or infrared), thermal, acoustic, magnetic, chemical, and environmental sensors. These devices share common power and communication interfaces and perform sensor fusion, calibration, and anomaly detection through edge computing or lightweight AI. Data from different sensors are synchronized and transformed into higher-level features for downstream applications.

Architectures can be monolithic single-board implementations or distributed networks in which nodes cooperate in mesh or star topologies. Key design goals include low latency, reliable data integrity, power efficiency, and standardization of interfaces and data formats.

Applications span environmental monitoring, smart cities, industrial automation, agriculture, and healthcare diagnostics. For example, a sensoriga node might monitor air quality using optical and chemical sensors and trigger alerts if pollutant levels exceed thresholds.

The term is not universally standardized and appears mainly in speculative or niche discussions about future sensing ecosystems. See also sensor fusion, Internet of Things, edge computing.