UK trials of audio-enabled CCTV systems raise concern

Local authorities and public services across the UK are increasingly testing or implementing audio technology powered by artificial intelligence (AI) to enhance CCTV monitoring. This next-generation equipment is designed to alert control rooms to specific sounds, such as gunshots, human screams, and illegal drone activity, to improve emergency response times.

The i paper reports that Westminster City Council has installed 100 cameras equipped with specialist noise-detection technology to address anti-social behaviour. Meanwhile, Birmingham City Council tested similar systems but decided against a permanent rollout. The technology is also being explored by HM Prison Service and at roadside locations to monitor vehicle noise. Demand for such measures is partly driven by the upcoming implementation of Martyn’s Law, which mandates improved security for public venues following the Manchester Arena attack.

The systems use AI software to match audio fingerprints against extensive digital libraries containing millions of sound samples. This enables the software to distinguish between a gunshot and a car backfire. By using multiple sensors, operators can triangulate the exact location of a noise, allowing cameras to focus on the incident immediately. One provider claims that its technology can reduce response times from 5 minutes to 5 seconds. 

Civil liberty campaigners and watchdogs have raised significant concerns regarding the potential for eavesdropping.

The Information Commissioner’s Office (ICO) warns that recording conversations in public is highly intrusive and rarely justifiable. While supporters argue the technology is intended for sound event detection rather than recording speech, the ICO maintains that organisations must prove such measures are necessary, proportionate, and fair. Despite interest from local councils, the National Police Chiefs Council noted that UK police forces have not yet adopted these sound alert systems for their own operations.

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