Responsible recognition that goes beyond accuracy

Auror and FaiceTech both aim to help retailers prevent theft and protect staff using facial recognition technology.Where they differ is in scope: Auror integrates recognition into a full retail crime intelligence platform designed for responsible prevention, compliance, and measurable outcomes.

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Two different approaches to recognition

FaiceTech is a rising UK-based provider focused on accurate and compliant facial recognition.Auror takes a broader approach, embedding facial recognition within its end-to-end retail crime platform — combining privacy safeguards, incident management, and proven results.

Auror Subject Recognition
FaiceTech
Platform type
Integrated retail crime intelligence platform with facial recognition, case management, and analytics
Stand-alone facial recognition suite focused on live alerts and retrospective search
Privacy approach
Privacy-by-design: no biometric data stored within the retailer’s information in Auror, human verification for every alert, independent privacy assessments
GDPR-aligned, privacy-forward design, deletes unmatched data immediately, client-controlled data ownership
Deployment model
Hybrid (on-prem + cloud), works with existing cameras, minimal setup
Flexible deployment (cloud, server, or edge) using dedicated cameras or on-device AI
Primary use
Real-time prevention of violent and repeat offending, integrated with investigations and law enforcement collaboration
Shoplifting deterrence, retrospective investigation, and access control
Compliance record
Clean, pre-validated with regulators, independently audited
Privacy-compliant, but under public scrutiny following Asda trial and ongoing media attention
Retail fit
Enterprise-grade, scalable across regions, designed for safety and compliance teams
Proven in UK pilots, suitable for mid-sized and single-market retail deployments

Acknowledging FaiceTech’s Role

FaiceTech has raised the bar for accuracy and transparency in retail facial recognition. Its flexible architecture, data minimization practices, and customer ownership model have helped demonstrate that live facial recognition can be implemented responsibly. However, as adoption grows, enterprise retailers increasingly require integration, governance, and proof of prevention impact — areas where Auror delivers measurable value.

Platform type
Auror Subject Recognition
Integrated retail crime intelligence platform with facial recognition, case management, and analytics
FaiceTech
Stand-alone facial recognition suite focused on live alerts and retrospective search
Privacy approach
Auror Subject Recognition
Privacy-by-design: no biometric data stored within the retailer’s information in Auror, human verification for every alert, independent privacy assessments
FaiceTech
GDPR-aligned, privacy-forward design, deletes unmatched data immediately, client-controlled data ownership
Deployment model
Auror Subject Recognition
Hybrid (on-prem + cloud), works with existing cameras, minimal setup
FaiceTech
Flexible deployment (cloud, server, or edge) using dedicated cameras or on-device AI
Primary use
Auror Subject Recognition
Real-time prevention of violent and repeat offending, integrated with investigations and law enforcement collaboration
FaiceTech
Shoplifting deterrence, retrospective investigation, and access control
Compliance record
Auror Subject Recognition
Clean, pre-validated with regulators, independently audited
FaiceTech
Privacy-compliant, but under public scrutiny following Asda trial and ongoing media attention
Retail fit
Auror Subject Recognition
Enterprise-grade, scalable across regions, designed for safety and compliance teams
FaiceTech
Proven in UK pilots, suitable for mid-sized and single-market retail deployments

Acknowledging Facewatch’s Role

Facewatch helped establish facial recognition in UK retail and demonstrated that technology can deter theft and antisocial behavior. Its shared database approach delivers rapid alerts across participating stores, making it simple for frontline teams to act fast.But as retailers scale responsibly and face increasing scrutiny around data use and compliance, the expectations have evolved.

Enter Responsible Recognition, the next generation of privacy-led crime prevention.

Why retailers choose Auror

One platform, one workflow

Auror integrates Subject Recognition directly into its retail crime intelligence platform.Every alert connects to incident reporting, analytics, and law enforcement collaboration in a single system.
Auror advantage: A unified workflow from detection to investigation.

Facewatch: Point solution requiring manual linkage to external case systems.

Privacy built into every decision

Auror’s Responsible Recognition framework ensures recognition is used only for safety. No biometric data is stored, every detection includes human verification, and the system is independently audited.
Auror advantage: Third-party privacy assessments, ethics oversight, and proven governance.

Facewatch: Privacy-conscious by design, but public scrutiny continues following early trials in UK retail.

Proven prevention outcomes

Auror is built to deliver measurable prevention results, not just detection.Retailers can quantify violence reduction, offender trends, and ROI directly from the platform.
Auror advantage: 80% of high-risk subjects prevented safely, verified by platform data.

Facewatch: Focuses on alerts and accuracy but limited proof of real-world prevention impact.

Scalable, low-friction deployment

Auror uses a simple hybrid model that works with a retailer’s existing camera network and infrastructure.

Setup requires minimal hardware and delivers immediate value.
Auror advantage: On-prem processing for privacy, cloud for scale, rapid deployment across enterprise networks.

Facewatch: Flexible options but often requires additional configuration or dedicated edge hardware.
80% of high-risk subjects prevented safely (based on existing Vehicle Recognition data)
1 in 100,000 false positives, even in poor lighting or off-angle views
Trusted by 50,000+ stores globally, including Walmart, Target, and CVS
Independent Privacy Impact Assessments in every active market

The responsible recognition difference

FaiceTech has helped advance responsible facial recognition, focusing on flexibility and privacy. Auror takes the next step — uniting recognition, privacy, and prevention in one intelligent platform that helps retailers create safer stores responsibly.

Where FaiceTech delivers recognition, Auror delivers results.