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Shift Start/End Proof

Capture start and end of shift photos and let AI verify the person and uniform for attendance automation. The system performs face match and liveness detection, checks logo and dress code, and records timestamp and location for clean workforce management logs. This shift start and end proof reduces time theft and buddy punching while improving compliance and audit readiness. Simple mobile flow, fast approvals, and HRIS integration.

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The Challenge

Manual attendance and paper logs are easy to spoof and hard to audit. Shared devices, buddy punching, and missing uniform checks create payroll leakage and brand risk. Without attendance automation tied to AI brand compliance, teams cannot reliably validate person, uniform, time, and location at shift start and shift end.

Our Approach

Shuru’s system prompts a quick selfie at clock in and clock out, runs liveness detection, and performs face match against the roster. Computer vision validates required uniform elements and logo placement, then stores timestamp, geotagging, device ID, and confidence scores. Results sync to HRIS or workforce management with pass or fail reasons, alerts for exceptions, and policy driven retention and privacy controls.

Industries Impacted

Security & Compliance
AI Brand Compliance & Uniform Check

Related Solutions

AI Brand Compliance & Uniform Check

Detect branded uniforms for identity verification

Business Impact

  • Reduce time theft and buddy punching with liveness and roster face match.

  • Improve compliance by enforcing uniform and logo rules at clock in and clock out.

  • Cleaner payroll and attendance data with timestamped and geotagged records.

  • Faster investigations and audits with searchable photo proof and reason codes.

  • Lower supervisor workload through automated approvals and exception alerts.

  • Seamless rollout via mobile first UX and HRIS or workforce management integration.

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