Emergency Service
Intelligent Safety Monitoring for Faster Awareness and Timely Response.
AI-powered safety monitoring combines video from compatible CCTV cameras with artificial intelligence and computer vision to identify visible actions that may need urgent attention, including distress gestures, falls, running, and physical altercations. From offices and industrial facilities to residential communities and public spaces, it helps teams recognise potential incidents and prioritise their response. DragonFlyTest transforms video footage into event notifications, highlighted clips, and reports that support operator verification and coordinated action.
Recognise Emergency Gestures
Detect supported, predefined gestures—such as repeated arm-waving to request help—and flag potential distress events for prompt review.
Detect Potential Falls
Identify movements consistent with a person falling and notify designated teams with relevant footage for verification and assistance.
Identify Running Activity
Detect running within configured monitoring zones, helping teams review unexpected activity in areas where running may indicate a safety concern.
Flag Possible Fighting
Identify movement patterns consistent with a physical struggle or altercation and alert authorised personnel to review the incident and respond appropriately.
Our Approach
DragonFlyTest follows a structured approach to implementing AI-powered emergency detection using compatible CCTV cameras. We configure monitoring for distress gestures, potential falls, running, and possible fighting, helping your team review incidents and coordinate timely assistance.
01.Requirement Assessment & Site Survey
We understand your environment, safety priorities, and incident-response procedures.
Identify locations where emergency monitoring is required.
Define relevant events and monitoring zones.
Assess camera coverage, lighting, visibility, and obstructions.
Identify the teams responsible for reviewing and responding to alerts.
02.CCTV & Infrastructure Readiness
We assess your existing cameras and processing infrastructure to support reliable video analysis.
Check camera compatibility, video quality, and feed availability.
Review positioning to ensure relevant body movements are visible.
Recommend adjustments where coverage gaps exist.
Plan an appropriate on-site, cloud, or hybrid deployment.
03.Detection Configuration
We configure detection rules around the activities and conditions at your site.
Define supported emergency gestures, such as repeated arm-waving.
Configure potential fall and physical-altercation detection.
Set running alerts for designated areas and operating hours.
Adjust event duration, sensitivity, and repeat-alert intervals.
04.Alerts & Response Workflows
We connect potential incidents to a clear process for verification and action.
Include camera location, timestamp, and relevant footage in alerts.
Route notifications to designated security or safety personnel.
Configure acknowledgement and escalation workflows where supported.
Enable operators to verify incidents and coordinate assistance.
05.Pilot Testing & Validation
We evaluate detection performance using safely staged scenarios and representative footage.
Test supported events under different site conditions.
Check whether ordinary activities trigger unnecessary alerts.
Assess missed events, notification delivery, and review workflows.
Refine settings against agreed acceptance criteria.
06.Rollout & Ongoing Optimisation
We support deployment and help your team maintain effective monitoring.
Train operators to review, acknowledge, and escalate events.
Expand coverage to approved cameras and locations.
Review false alerts, missed incidents, and operator feedback.
Update configurations as layouts, lighting, and operational needs change.
- Emergency Gesture Detection
- Fall Detection
- Running Detection
- Fighting and Physical Altercation Detection
- Person in Distress Detection
- Help-Seeking Gesture Detection
- Medical Emergency Detection
- Unconscious Person Detection
- Person Lying on the Ground Detection
- Crowd Panic Detection
- Sudden Crowd Movement Detection
- Crowd Congestion Detection
- Crowd Surge Detection
- Restricted-Area Entry Detection
- Emergency Exit Blockage Detection
- Fire and Smoke Detection
- Vehicle Accident Detection
- Person–Vehicle Collision Risk Detection
- Abandoned Object Detection
- Emergency Response Coordination
- Incident Video Clip Generation
- Real-Time Alert Notification
- Multi-Level Alert Escalation
- Operator Incident Verification
- Emergency Event Reporting
Emergency Gesture Detection
Recognise a Call for Help Before It Goes Unnoticed
CCTV-based AI analytics can identify predefined emergency gestures, such as a person repeatedly raising or waving an arm for assistance. The system highlights the event, records the relevant video clip, and sends an alert to authorised personnel for verification and response.
Support Faster Assistance
Identify visible help-seeking gestures in monitored areas and route them for prompt review.
Monitor Outdoor and Public Areas
Support monitoring across walkways, campuses, transport areas, events, and other designated locations.
Provide Visual Evidence
Include the camera location, timestamp, image, and short video clip with the alert.
Fall Detection
Detect Potential Falls in High-Risk Work Areas
AI-powered fall detection analyses CCTV video to identify movements and postures consistent with a person falling. It can support monitoring across construction sites, industrial facilities, mines, warehouses, and other locations where a fall may require immediate assistance.
Identify Potential Falls
Detect a person falling or remaining on the ground within a configured monitoring zone.
Support Construction Safety
Monitor elevated work areas, platforms, walkways, and other high-risk locations.
Alert the Response Team
Send event notifications with the relevant camera view and recorded footage for verification.
Running Detection
Identify Unexpected Running Where Safety MattersRunning detection uses computer vision to identify rapid movement within configured zones. At mining sites, industrial facilities, construction areas, campuses, and public venues, unexpected running may indicate an emergency, unsafe behaviour, or a need for immediate review.
Monitor Designated Zones
Configure running detection for haul roads, pedestrian routes, restricted areas, corridors, and event spaces.
Identify Unsafe Movement
Highlight rapid movement in areas where running may create a safety risk or indicate distress.
Improve Incident Awareness
Provide alerts with camera details, timestamps, and supporting footage for operator review.
Fighting and Physical Alteration Detection
Identify Possible Altercations in Crowded Environments
AI-powered video analytics can identify movement patterns consistent with pushing, grappling, or a physical struggle. At public gatherings, events, large venues, transport areas, and commercial spaces, alerts help security teams review incidents and coordinate an appropriate response.
Detect Possible Physical Struggles
Highlight interactions that may require immediate operator review.
Support Event Security
Monitor crowd areas, entrances, barriers, queues, and other designated zones.
Enable Timely Human Response
Share short video clips and event details with authorised security personnel for verification and action.
Why DragonFlyTest
Intelligent Monitoring to Support Faster Emergency Response.
DragonFlyTest helps organisations turn CCTV footage into actionable alerts for potential emergencies. From help-seeking gestures and construction-site falls to unexpected running and possible physical altercations, our approach supports timely awareness, human verification, and coordinated response.
Make Better Use of Your CCTV
Use compatible CCTV cameras to support emergency detection across designated areas, with camera coverage and video quality assessed before deployment.
Configure Detection for Your Environment
Tailor detection zones, monitoring schedules, and alert settings to the needs of construction sites, mining areas, public spaces, and large venues.
Give Teams Context to Respond
Provide event alerts with available images, video clips, timestamps, and camera locations so authorised teams can review incidents and prioritise assistance.
Keep People in Control
Support operator verification before escalation, helping teams assess the situation and choose an appropriate response.
Validate Before Wider Deployment
Evaluate configured detections through safely staged scenarios and pilot testing to assess performance and refine alert settings.
Improve Through Ongoing Review
Use incident reports and operator feedback to refine monitoring, reduce unnecessary alerts, and support emergency-response planning.
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