Face Recognition
Intelligent Face Recognition for Smarter Security and Seamless Operations.
Face recognition combines video from compatible CCTV cameras with artificial intelligence and computer vision to detect faces and match them against enrolled individuals. From offices and industrial facilities to warehouses and residential communities, it helps organisations verify registered people, record entry and exit events, and identify unmatched faces for review. DragonFlyTest transforms CCTV footage into recognition events, notifications, and reports that support security, attendance, and access-management decisions.
Recognise Registered Individuals
Match faces captured by CCTV cameras against enrolled employees, visitors, and contractors at designated monitoring points.
Strengthen Access Management
Connect recognition events with compatible access-control systems to support entry based on configured permissions.
Simplify Attendance Tracking
Record recognised entry and exit events to support attendance reporting and reduce manual recordkeeping.
Support Timely Security Review
Notify authorised teams about unmatched faces or recognition events in designated zones, with captured images for verification and follow-up.
Our Approach
DragonFlyTest follows a structured approach to implementing CCTV-based face recognition, from assessing camera coverage to validating recognition performance. We tailor each deployment to your environment, enrolled users, and security, attendance, or access-management requirements.
01.Requirement Assessment & Site Survey
We understand your monitoring objectives and assess the locations where face recognition will be used.
Define use cases for employee recognition, attendance, visitor verification, and access management.
Review entrances, exits, and designated monitoring zones.
Assess camera angles, lighting, face visibility, and network availability.
Establish success criteria and procedures for handling uncertain matches.
02.CCTV & Infrastructure Readiness
We evaluate your existing CCTV infrastructure and identify the changes needed to capture suitable facial images.
Check camera compatibility, resolution, positioning, and video-feed access.
Recommend camera repositioning or additional coverage where required.
Plan processing resources using an appropriate on-site, cloud, or hybrid setup.
Configure secure connectivity between cameras and the analytics platform.
03.Face Enrolment & Configuration
We establish the authorised face database and configure recognition rules around your operational needs.
Enrol employees, registered visitors, and contractors through an approved process.
Check enrolment image quality and associate records with the correct identity.
Configure matching thresholds, monitoring zones, and duplicate-event intervals.
Define access permissions, retention periods, and record-update or deletion procedures.
04.Analytics Deployment & Integration
We connect compatible CCTV feeds to the recognition engine and configure how recognition events are used.
Detect visible faces and compare them with enrolled records.
Record recognised entry and exit events at designated camera locations.
Connect with compatible attendance, visitor-management, and access-control systems.
Configure notifications and operator review for unmatched or uncertain results.
05.Pilot Testing & Validation
We test the solution under representative site conditions before wider deployment.
Evaluate recognition across different lighting conditions, face angles, and movement.
Measure correct matches, false matches, and missed matches.
Verify event logging, notifications, and connected workflows.
Refine settings and confirm results against agreed acceptance criteria.
06.Rollout & Ongoing Optimisation
We support deployment and help your team manage the solution as requirements evolve.
Train authorised operators on enrolment, event review, and reporting.
Roll out to approved cameras, locations, and user groups.
Review exceptions and changes in camera or lighting conditions.
Refine configurations and maintain enrolment records over time.
- Face Detection
- Multiple-Face Detection
- Enrolled-Person Recognition
- One-to-One Face Verification
- Employee Recognition
- Registered Visitor Recognition
- Contractor Recognition
- Enrolled Worker Recognition
- Unmatched-Face Detection
- Low-Confidence Match Detection
- Blurred Face Detection
- Low-Light Face Detection
- Partially Occluded Face Detection
- Face Mask Detection
- Unsuitable Face-Angle Detection
- Face Image Quality Assessment
- Duplicate Enrolment Detection
- Repeated Recognition Event Detection
- Recognised Entry Detection
- Recognised Exit Detection
- First Check-In Detection
- Last Check-Out Detection
- Late Check-In Detection
- Early Check-Out Detection
- Missing Check-Out Detection
- After-Hours Presence Detection
- Restricted-Zone Permission Mismatch Detection
- Expired Visitor Access Detection
- Assigned Work-Zone Check-In Detection
- Shift Roster Mismatch Detection
Face Recognition for Offices
Simplify Attendance. Strengthen Access Management.
CCTV-based face recognition helps offices verify enrolled employees, registered visitors, and contractors at designated entrances. Recognition events can support attendance records, entry–exit reporting, and integration with compatible access-control systems. DragonFlyTest helps teams reduce manual verification while maintaining clear procedures for uncertain matches and alternative authentication.
Investigation Support at Transport Hubs
Support Investigations with Clear Visual Evidence.
At airports, railway stations, and bus stations, CCTV footage can help authorised teams review reported incidents and investigate specific cases. Organised video records, timestamps, and camera locations support evidence review and coordination with personnel on the ground. A facial resemblance alone cannot establish identity, criminal history, or guilt; those conclusions require independent verification.
Missing-Person Assistance at Large Events
Help Reunite People. Support Safer Gatherings.
At Kumbh Mela, temple festivals, and other large gatherings, coordinated assistance workflows help teams respond to reports of missing or separated people. Help desks, voluntarily supplied photographs, relevant CCTV footage, and staff observations can support case-specific searches and verified reunification. Anonymous crowd-density monitoring can complement these efforts by highlighting congested areas and keeping assistance routes accessible.
Face Recognition at Construction Sites
Verify Workers. Improve Site Attendance Visibility.
CCTV-based face recognition at designated construction-site entrances helps verify enrolled workers, contractors, and supervisors. Recorded entry and exit events support daily attendance, contractor-wise reporting, and access checks for approved areas. DragonFlyTest configures capture points around site conditions, with alternative verification when helmets, face coverings, dust, or lighting affect recognition.
Face Recognition for Mining Workforce Management
Know Who Has Checked In. Support Shift Accountability.
At mining-site checkpoints, CCTV-based face recognition helps record enrolled personnel entering and leaving designated operational areas. Combining verified entry–exit events with shift rosters can provide an estimated on-site headcount and highlight records requiring reconciliation. These insights support workforce coordination and muster preparation, alongside dedicated underground tracking and emergency-accountability systems where required.
Why DragonFlyTest
CCTV-Based Face Recognition Built Around Your Business Needs
DragonFlyTest combines AI, computer vision, and quality assurance expertise to deliver face recognition solutions tailored to your environment. From employee attendance to access management, we focus on practical integration, validated performance, and clear insights.
Compatible CCTV Integration
Make use of compatible CCTV cameras after assessing image quality, positioning, lighting, and connectivity.
Solutions Tailored to Your Operations
Configure recognition workflows around your employees, visitors, contractors, work zones, and attendance requirements.
Quality-Driven Validation
Evaluate recognition under representative site conditions and refine settings to address false matches, missed matches, and uncertain results.
Connected Access & Attendance
Integrate recognition events with compatible access-control, attendance, and visitor-management systems to reduce manual recordkeeping.
Controlled Data Access
Define authorised access, enrolment management, retention, and deletion procedures for facial records and recognition events.
Flexible Deployment & Ongoing Support
Start with a focused pilot, expand to additional locations, and receive support for configuration, operator training, and ongoing refinement.
USA