Every facial recognition proposal that has crossed your desk has had the same problems: massive bandwidth from video streaming, on-premises biometric template databases that create breach liability, IoT devices that store sensitive data and expand your attack surface, and a compliance profile that makes your General Counsel’s head spin.nnSafience was designed by people who understand why you said no to every previous proposal. RTIS captures a single still image per entry event — not video, not audio. That image is compared against 58.4M+ fingerprint-verified law enforcement records. Non-matches are purged immediately. No biometric template is ever created. No gallery is ever built. No data is retained on campus.nnThere is nothing to breach, nothing to subpoena, and nothing to regulate. The compliance question disappears when the regulated data never exists in the first place.
The Lightest Security Footprint on Your Network
Your security team wants facial recognition. Your legal team said u0022BIPA.u0022 Safience eliminates the conflict with privacy-by-architecture: zero biometric retention, zero template storage, zero on-premises servers. Each sensor transmits a single encrypted ~30KB JPEG per entry event — not video, not audio.
Your Security Team Wants Facial Recognition. Here Is Why You Can Say Yes to This One.
No gallery, no templates, no retained biometric data. Nothing to breach, subpoena, or regulate
Fingerprint-sourced law enforcement records with complete chain of custody. Not scraped. Not aggregated
Single encrypted JPEG per entry event. No video streams. Typical 30KB, never exceeding 100KB
Cloud-hosted matching infrastructure. Encrypted in transit and at rest. No on-premises servers
Every Other Vendor Creates the Data You Are Trying to Avoid
Most facial recognition systems create a biometric template from each face they capture. They store that template in a gallery. They retain video footage. Some scrape billions of images from social media without consent. Every one of these design choices creates regulatory exposure under BIPA, FERPA, CCPA, and emerging state biometric privacy laws.
Template Storage = Regulated Data
Conventional FR systems build and maintain a biometric template gallery. Under Illinois BIPA, that gallery is regulated biometric data requiring written consent, retention schedules, and deletion policies. On campus, stored templates become breach liability and discovery targets.
Video Retention = FERPA Risk
Systems that record continuous video create footage archives subject to discovery, subpoena, and FERPA classification when reviewed in student conduct proceedings. A stored video feed of every person entering a building is exactly the mass surveillance scenario regulators oppose.
On-Device Storage = Attack Surface
Traditional biometric systems store watchlists, templates, and configuration data on edge devices. A compromised sensor exposes the entire watchlist. Safience sensors store nothing — if someone steals a device, they have hardware with no data on it.
The question is not whether facial recognition works. The question is whether your vendor's architecture can survive a BIPA class action, a FERPA review, or a discovery order. Most cannot.
Privacy-by-Architecture: The Platform Your IT Team Can Approve
Safience delivers identity intelligence without creating regulated biometric data. RTIS compares single still images against 58.4M+ fingerprint-verified law enforcement records. Non-matches are purged immediately. No template gallery. No video archive. No biometric database on campus.
Identity Intelligence With Zero Retention
Purpose-built edge sensors capture a single still image per entry event. Compared against UMbRA and institution X-LST watchlists. Non-match images purged at the edge. Human verification through the Rapid Action Center before any alert.
How It WorksEvery Scan Searches for the Missing
RVIS runs on every RTIS scan and cannot be disabled. The same privacy architecture applies: no biometric retention, no mass surveillance capability, human verification on every match.
Dual Mission58.4M+ Verified Identities
Fingerprint-sourced law enforcement booking records with complete chain of custody. Not scraped. Not aggregated. Court-ready provenance.
Learn MoreInstitution-Controlled Lists
Your lists, your control. Safience has no visibility into list contents during normal operations. Compartmentalized alerts per list.
Learn MoreFrom Sensor to Alert in Under 60 Seconds
Capture
A single still image is captured per entry event. Not video. Not audio. Sub-100KB payload at the edge.
Compare and Purge
The image is compared against UMbRA (58.4M+ verified records). Non-matches are purged immediately. No biometric template is created.
Human Verify
Potential matches are reviewed by a trained analyst at the Rapid Action Center before any alert reaches campus personnel.
Traditional Facial Recognition vs. Safience Architecture
| Technical Dimension | Traditional FR System | Safience RTIS/RVIS |
|---|---|---|
| Bandwidth Per Camera | Megabytes/second (4K video streaming) | ~30KB per event; ~3MB/hour at 100 events/hour |
| On-Device Data | Watchlists, templates, configuration | Zero persistent data; encrypted, transmit, delete |
| On-Premises Infrastructure | Servers, storage, UPS, HVAC, physical security | None; cloud-hosted, SOC 2 compliant |
| Biometric Template Storage | Templates created and stored on premises | Zero templates stored anywhere for non-matches |
| FERPA Exposure | Video reviewed in conduct proceedings becomes education record | No video recorded; no footage to classify |
Bring Your Hardest Technical Questions.
Schedule a Technical Architecture Review. Walk through the data flows, network specifications, encryption architecture, device management model, and compliance alignment with your security and infrastructure teams. We built this platform for the CISOs who said no to every previous facial recognition proposal.