Safety Solutions

AI that detects unseen dangers through sound first

ListenAI Safety Solution

Listen AI Safety solution

  • Emergency Sound Detection

    Screams, aggressive yelling, and other sounds of an emergency are detected in real time as they happen.

  • Covering Camera Blind Spots

    Recognises danger by sound in restrooms, changing rooms, and other spaces where a camera cannot go.

  • Noise-Resistant Analysis

    Trained on data collected in real venues, it separates danger signals from the noise of busy, loud environments.

  • 98%+

    TTA-certified F1-score

    Danger-sound detection performance of Listen AI Safety, verified in TTA (Telecommunications Technology Association) test certification.

  • 10+

    Patents registered in Korea and abroad

    We hold 10 registered patents and have filed more than 10 applications over the past 3 years, including overseas filings.

  • 2024-2026 ICASSP

    Papers at the world's top signal-processing conference

    Papers published every year, including at ICASSP 2024, the top signal-processing conference by h-index, on sound classification that holds up across microphones and environments.

ListenAI Safety judges the situation

Danger is rarely a single sound. Conditions set for each site combine several detections into one situation, so only the situations that truly need attention are reported.

Staged scene of a man closing in on a woman at the sinks of a restroom
Staged scene
!Composite event detected

ThreatSuspected Assault

Two or more of shouting, screams, or impacts within 8 seconds/1F restroom · Demo data

5 events (0s - 8s)Tap a bar to hear the detected sound
Time
0s2s4s6s8s
Female Aggressive Yell
Female Scream
Verdict
Threat

The photograph is a staged scene; the pop-up recreates the monitoring system's composite-event alert with demo data. Every sound on the timeline can be played.

  • Conditions set per site

    For each location, decide which sounds must occur together, and within how many seconds, to count as danger.

  • Signals become situations

    Detections that meet the conditions are reported as one danger situation rather than as separate alerts.

  • Focus on what needs checking

    Fewer unnecessary alerts from one-off sounds, so operators can concentrate on real situations.

Listen AI Recognized Sounds

Sounds on site are detected in four groups of situations.

  • Screams and shouting

    Sounds of urgent or aggressive situations

    • Female Scream
    • Male Scream
    • Female Aggressive Yell
    • Male Aggressive Yell

  • Accidents and anomalies

    Sounds that point to an accident or emergency

    • Crying, Sobbing
    • Breathing Heavily
    • Glass Break
    • Physical Impacts

  • Potential danger

    Sounds of situations, such as a fight, that can escalate into danger

    • Female Normal Speech
    • Male Normal Speech

  • Vehicles and surroundings

    Sounds from around the site

    • Siren
    • Car Horn

Monitoring System

Monitoring system service for real-time confirmation of accident detection situations with Listen AI Safety solution.

Real-time analysis dashboard screen

  • AI analysis and alerts in real time

    A pop-up alert appears the moment a danger situation matching your own conditions occurs. Analysis interval, sensitivity, the sounds to analyse, and other details are yours to set for the purpose at hand.

  • Risk Situation Statistical Features

    The system allows for viewing statistical information by day of the week, period, and type of risk situation. Useful analytical insights are provided based on the collected data.

  • Privacy Protection Mode

    Offers a privacy protection mode specialized for public spaces. Sensitive data related to personal information is excluded from analysis and is immediately disposed of after analysis, ensuring safety from security incidents.

  • Efficient Event Search and Management

    Quickly search for events without listening to sound recordings using advanced filtering and search features. Access detailed information for each event, bookmark critical incidents, and simplify history management.

  • Monitoring Equipment Management

    Easily monitor and manage the connection and operational status of field equipment within the system. Configure detailed analysis settings and perform remote restarts to ensure seamless operation.

Solution Operation Method

Edge Analysis Server Method

Effective local data processing saves network bandwidth and reduces latency, providing a higher quality user experience.

Edge Analysis Server Method architecture diagram
Product Type
Screams, loud voices, crying, collisions, glass breaking, etc.
Product Components
Microphone, Edge Analysis Server, Central Management Server, Monitoring System (CMS)
Monitoring Software
Provides Listen AI Monitoring System
Requirements
Ready to use immediately without the need for a dedicated development team or integration work

Features and Benefits

  • AI computation processing within edge devices
    By integrating sound AI analysis technology into edge devices, all sound AI computations can be processed internally, allowing for effective local data processing. We recommend AI analysis functions that impose a light load suitable for the computational performance of edge devices.
  • 70% Bandwidth Savings Compared to Traditional Methods
    Each edge device consumes approximately 280 kbps of bandwidth when sending audio clips to the server. As the number of devices increases, bandwidth requirements also rise; however, the edge device system significantly reduces bandwidth requirements to around 1 kbps.
  • Privacy Protection
    Raw audio data remains on the local edge analysis server, and only the analysis results are sent to the central management server. This approach guarantees maximum privacy.

Listen AI Customer Cases

Discover real-world applications of Listen AI solutions and their proven results.

    • Government Buildings Management Office Gymnasium entranceGymnasium entrance
    • Government Buildings Management Office RestroomRestroom
    Government Buildings Management Office

    Danger detection in a gymnasium

    • Installed mainly in restrooms and changing rooms, where CCTV cannot go
    • Emergency monitoring in spaces used heavily by children and older adults
    • Incheon Transit Corporation Restroom entranceRestroom entrance
    • Incheon Transit Corporation Men's restroomMen's restroom
    • Incheon Transit Corporation Restroom stallsRestroom stalls
    Incheon Transit Corporation

    Danger detection in station restrooms

    • Installed in station restrooms outside the fare gates, beyond the reach of CCTV
    • Screams and risky situations detected in real time through the busiest hours
    • Naejangsan National Park Office Public restroomPublic restroom
    • Naejangsan National Park Office Control roomControl room
    Naejangsan National Park Office

    Safety monitoring in a national park

    • Monitoring indoor and outdoor danger at the cable car summit, trails, and public restrooms
    • Detected signals go straight to an on-site response

Designated Innovative Product, Public Procurement Service

Deeply is a designated Innovative Product and is running pilot purchase programs with five public institutions (as of September 2026).

Innovative Product designation mark, Public Procurement Service

Institutions in pilot purchase programs

  • Seo-gu, Daegu
  • Seongju-gun, Gyeongsangbuk-do
  • Yangcheon-gu Facilities Management Corporation, Seoul
  • Dobong-gu, Seoul
  • Incheon Transit Corporation

Frequently asked questions

Listen AI Safety deployment inquiry

Talk through the setup and rollout that fit your site

Adding meaning
to sound
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