detectorization
Detectorization is a term used (though rarely) to describe the process of reducing or eliminating the role of detectors in a system, typically replacing direct measurements with indirect indicators, models, or non-sensing proxies. It stands in contrast to instrumentation or detector-heavy configurations. Because it is not a widely standardized term, its exact meaning can vary by domain; in many cases it refers to decommissioning or downgrading sensing hardware, or to design choices that rely on software inference rather than physical detection.
- In experimental science and instrumentation, detectorization can mean phasing out large detector arrays and relying on
- In industrial control or smart systems, it can refer to reducing sensor counts to simplify maintenance,
- In cybersecurity or anomaly detection, detectorization could describe shifting from continuous monitoring by detectors to periodic
- Benefits may include lower cost, reduced maintenance, privacy preservation, and simpler data pipelines.
- Risks include reduced safety margins, data gaps, diminished resilience, and potential regulatory or certification challenges.
- Practitioners typically perform risk assessments, define minimum data requirements, implement fallback strategies, and validate performance through
See also: instrumentation, sensor networks, observability, decommissioning, data-driven monitoring.