Investigate Faster. Identify Instantly.
No Cloud. No Compromise.
On-premises forensic face recognition for large campuses, institutions, and critical infrastructure.
The Problem
When an incident occurs - theft, trespass, assault, unauthorized access - your security team has footage but no identity. Manual review of hours of CCTV across dozens of buildings is slow, error-prone, and often too late.
FaceTagr's Forensics module lets investigators search an entire camera network by face - retroactively - in seconds. Upload a probe image, set a time window, and surface every appearance of that individual across your campus. On-premises. No data leaves your boundary.
Core Capabilities
Retroactive Search
Search hours of footage across all cameras using a single probe image. Set a time window and surface every appearance in seconds.
Campus-Scale Coverage
Designed for 20–100 acre campuses, 30–100+ buildings, 50K–200K visitor records. Full movement trail reconstruction.
Air-Gapped Operation
Zero cloud dependency. Fully on-prem. Data never leaves your facility. Meets the strictest data sovereignty requirements.
"Deployed across campuses managing thousands of records - FaceTagr identifies a subject's full movement trail across buildings in under 60 seconds."
On-premises deployment · NIST-benchmarked accuracy · Existing CCTV compatible
Who It's For
Private Townships & SEZs
Gated communities and economic zones with multi-building CCTV networks
Corporate Campuses
Large HQ or manufacturing facilities with high daily footfall
Hospitals & Universities
Institutions managing complex access across multiple entry points
Ports & Logistics Hubs
High-security perimeter environments with shift-based workforce
Running investigations on spreadsheets and manual review?
On-premises deployment. Existing CCTV compatible. Live in days, not months.