Vulnerable People
Acoustic monitoring for camera-restricted environments
Hospitals, rehabilitation centres, and secure 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.
A patient has a medical emergency but can’t activate their alarm. A resident in crisis calls out but the staff can’t hear. An altercation in a cell escalates before staff are made aware.
NHS-Ready
No Voice Recording
Edge AI
UK GDPR Compliant
The Compliance Gap
Privacy legislation, patient dignity obligations, and the legal rights of vulnerable individuals mean that a significant proportion of your highest-risk spaces must remain camera-free.
The operational consequence is a monitoring vacuum. Patient falls go undetected. Incidents in cells escalate before staff can respond. Self-harm events in private rooms have no early warning mechanism.
The liability exposure is direct. The reputational risk is significant. And traditional alternatives — manual patrols, basic decibel meters — are demonstrably insufficient.
The Acoustic AI Solution
We monitor, analyse and alert so your team can respond.
Our solution deploys acoustic sensors in the specific areas of your facility where visual surveillance is prohibited — individual rooms, bathroom facilities, consultation areas, and cells. 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 and compliance obligations of the most legally sensitive care environments in the UK.
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.
Three primary environments.
One proven solution.
-
Acoustic monitoring for single rooms, mental health wards, and any area where patient dignity or legal constraints prohibit visual surveillance.
Detect falls, distress events, and verbal aggression with sufficient lead time for clinical response. Supports CQC compliance and duty of care documentation.
-
Continuous safety monitoring across residential facilities without intruding on the therapeutic environment. Real-time alerting for incidents.
Documented monitoring history for regulatory review.
No impact on resident privacy or dignity obligations.
-
Cell monitoring, segregation unit coverage, and blind spot detection without infringing on legal rights.
Measurable reduction in response times to altercations, self-harm incidents, and medical emergencies.
Auditable event logs for incident investigation and reporting.
What We Detect
Recognised Sound Events
Our AI analysis tool is trained on real-world acoustic data across a wide range of human distress and incident sounds.
The system differentiates between genuine emergency events and ambient background noise — delivering accurate alerts without the false positives that undermine trust in monitoring systems.
The system can be configured to monitor specific sound types relevant to your environment — sensitivity levels and active sound categories are adjustable per deployment.
Screaming & Shouting
Male Scream
Female Scream
Male Shouting
Female Shouting
Physical & Emotional Distress
Crying
Sobbing
Groaning
Glass Breaking
Disturbances
Verbal Distress
"Help me"
"Please help"
Male voice (raised)
Female voice (raised)
Conversation (elevated)
The Monitoring System
Operations & Management
Every deployment includes access to a web-based monitoring dashboard — giving your security or operations team a clear, manageable view of acoustic activity across all monitored zones.
Instant Alerting
Real-time notifications delivered via email, SMS, and webhooks — integrating with your existing operations systems and security infrastructure.
Event Management
Search, filter, and review detected events without accessing any audio recordings. Bookmark critical incidents and maintain a complete event history.
Equipment Management
Monitor sensor connection and operational status remotely. Configure settings and perform remote restarts without on-site intervention.
Configuration Management
Adjust analysis cycles, sensitivity levels, and sound types per zone to meet your specific operational requirements.
Real-Time Analysis
Live acoustic analysis with instant event detection. Adjust analysis cycles, sensitivity levels, and active sound categories to match your specific operational requirements.
Statistical Reporting
View acoustic event data by day, time period, and event type. Identify patterns and demonstrate monitoring activity to regulators and commissioners.
Privacy By Design
Built to operate in the most compliance-sensitive environments
No recordings are made. No voices are captured. No data is transmitted or stored.
Every element of our solution is designed from the ground up for deployment in environments governed by strict privacy, human rights, and data protection legislation. Our solution processes sound at the edge, on the device itself. It analyses acoustic patterns, identifies genuine threats, and instantly discards the raw audio.
Our system includes a dedicated Privacy Protection Mode specifically designed for deployment in environments where personal data protection is non-negotiable:
All analysis performed on acoustic patterns — not speech content
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