Sonevo helps local governments investigate noise complaints with continuous acoustic monitoring and intelligent analysis, showing what's happening, when, and how often.
Noise complaints are among the most common — and least resolvable — issues local governments face. Not because the noise isn't real, but because the evidence isn't conclusive.
Resident noise diaries are self-reported, inconsistent, and easily contested. One resident's "constant noise" is another's normal evening.
Site visits rarely coincide with the noise. Officers spend hours attending, observing, and re-attending — often to hear nothing at all.
Without objective evidence, cases stall, escalate to disputes between parties, and fall over when enforcement is challenged.
A compact outdoor monitor captures acoustic activity at the point of investigation. On-device processing detects relevant events, machine-learning models classify what's happening, and the Sonevo platform turns it all into structured, timestamped data local governments can act on.
Place the device at the investigation location and begin continuous monitoring.
Acoustic activity is detected automatically rather than relying on someone being present at the right moment.
Relevant events are timestamped and organised into a clear evidence record showing when, how often and for how long activity occurred.
Officers can review patterns, listen to relevant events and use structured evidence to support the investigation.
Privacy-conscious by design. Sonevo is built to focus analysis on relevant acoustic events rather than continuously analysing all surrounding sound.
See how acoustic events from a barking dog investigation become timelines, patterns and case evidence.
Sound carries information about what is happening: what, when and how often. SONEVO turns those acoustic events into structured, actionable data. We're starting with noise investigations for local government, where subjective complaints can become objective, defensible evidence.
Work in local government or noise management? Dealing with a noise problem at home? Either way, tell us about it.