Public Spaces & Safety

Acoustic monitoring for publicly accessible spaces that cameras can’t cover

Shopping centres, transport hubs, hospitality venues, and leisure facilities face significant liability in areas where visual surveillance is legally or ethically prohibited. We deliver continuous acoustic monitoring and real-time incident alerting — fully compliant, zero voice recording.

Your highest risk spaces are the ones you cannot watch

Public venues operate under a clear duty of care to staff and customers. Yet a significant proportion of the spaces where incidents are most likely to occur — public toilets, changing rooms, back-of-house areas, and private facilities — cannot be monitored by camera.

Traditional alternatives — security patrols, basic panic buttons, decibel alarms — are reactive, expensive, and demonstrably insufficient in high-footfall environments.

Public Venue Ready

No Voice Recording

Edge AI

UK GDPR Compliant

The Monitoring Gap

Public venues operate under a clear duty of care to staff and customers. Yet a significant proportion of the spaces where incidents are most likely to occur — public toilets, changing rooms, back-of-house areas, and private facilities — cannot be monitored by camera.

The result is a measurable liability gap. Assaults go undetected until it is too late to intervene. Staff in isolated areas have no reliable means of raising an alert. Incidents in camera-free zones are difficult to evidence and harder to prevent.

Traditional alternatives — security patrols, basic panic buttons, decibel alarms — are reactive, expensive, and demonstrably insufficient in high-footfall environments.

Continuous acoustic monitoring across your venue. No cameras. No recordings. No compliance risk.

The Acoustic AI Solution

Our solution deploys acoustic sensors in the specific areas of your venue where visual surveillance is prohibited — public toilets, changing rooms, back-of-house corridors, and isolated staff areas. Deeply AI's edge-based classification platform analyses sound patterns in real time, detecting the acoustic signatures of distress, aggression, and physical incidents the moment they occur.

When an event is detected, your operations or security team receives an instant alert with event type and location — enabling immediate, targeted response.

All processing occurs on the device itself. No audio leaves the sensor. No recordings are made. No voice data is captured, stored, or accessible to any third party — meeting the privacy obligations of high-footfall public venues operating under UK GDPR and the Human Rights Act.

No data transmitted

All processing occurs on the device. No audio is sent to any server, cloud platform, or third party.

No individuals identified

The system classifies acoustic patterns — it cannot identify individuals by voice or any other means.

No recordings made

Raw audio is analysed and discarded instantly after classification. Nothing is stored at any point.

Multiple environments.

One proven solution.

What We Detect

Recognised Sound Events

Comprehensive acoustic recognition for high-footfall public environments.

Our system is trained to detect a wide range of acoustic events relevant to public venue security — from individual distress calls to large-scale incidents. The system operates effectively in noisy, unpredictable environments, filtering ambient sound to isolate genuine security events.

Active sound categories are fully configurable per deployment — enabling venue operators to focus monitoring on the event types most relevant to their specific environment and risk profile.

Aggression & Disorder

Male Shouting

Female Shouting

Disturbances and Riots

Conversation (elevated)

Physical Incidents

Glass Breaking

Explosion Sounds

Gunshots

Car Sounds

Construction Noise

Human Distress

Help me

Please help

Male Scream

Female Scream

Crying

Sobbing

Groaning

Noise Resistant Analysis

Built for real-world environments

Public venues present one of the most acoustically challenging monitoring environments — high footfall, ambient music, HVAC systems, and constant background noise make traditional sound-triggered systems unreliable.

Our system is powered by Deeply AI's proprietary acoustic foundation model — trained on years of real-world environmental data across operational deployments in urban public safety, transit infrastructure, and high-noise industrial environments.

The result is a system that consistently differentiates genuine security events from background noise — delivering accurate alerts without the false positives that cause security teams to disengage from monitoring systems over time.

99.87% detection accuracy — achieved in continuous 85dB+ industrial environments (Hyundai Motor Group deployment).

Deployed in the real world

Our technology has been deployed in live public environments — including Naejangsan National Park in South Korea, where acoustic sensors monitor public toilet facilities for distress signals. Visitors are informed that conversations are not recorded — only emergency acoustic signals are detected.

"Deeply AI — acoustic intelligence platform"
"Deeply AI — acoustic intelligence platform"

Live deployment — public toilet acoustic monitoring, Naejangsan National Park, South Korea. Powered by Deeply AI.

The Monitoring System

Operations & Management

Every deployment includes access to a web-based monitoring dashboard — giving your security operations centre or facilities management team a centralised view of acoustic activity across all monitored zones, across multiple sites if required.

Instant Multi-Channel Alerting

Real-time notifications via email, SMS, and webhooks — delivering alerts directly to security control rooms or individual responders.

Event Management

Search and filter detected events without accessing any audio recordings. Bookmark critical incidents and maintain a complete, searchable event history.

Remote Equipment Management

Monitor sensor status across all deployed units. Configure settings and perform remote restarts without requiring on-site engineer visits.

Configuration Management

Adjust sensitivity levels and active sound categories per zone to match your specific venue risk profile and operational requirements.

Real-Time Analysis & Configuration

Live acoustic analysis with instant event detection. Configure analysis cycles, sensitivity levels, and active sound categories per zone.

Statistical Reporting

View event data by day, time period, location, and event type. Identify high-risk zones and peak incident times for management and insurance reporting.

Privacy Protection

Built to operate in environments governed by strict privacy and public safety legislation.

Built to operate in the most compliance-sensitive environments.

No recordings are made. No voices are captured. No data is transmitted or stored.

Public venue operators face a dual obligation — maintaining safety for staff and customers while complying with UK GDPR, the Human Rights Act, and the legal prohibition on visual surveillance in private spaces.

Listen AI Safety's Privacy Protection Mode meets both obligations by design:

  • Edge AI architecture — all processing on-device, no audio transmitted

  • Sensitive personal data excluded from analysis at the point of capture

  • Raw audio immediately and automatically discarded after classification

  • No voice recordings created, stored, or accessible at any point

  • Full UK GDPR compliance and Human Rights Act alignment

  • ICO-aligned — no requirement to register acoustic monitoring under current UK guidance