Delighteck
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AI EngineeringAIComputer VisionEdge AIMobile

Vision & Liveness System

A mobile-first recognition workflow with edge processing, local persistence and cloud sync for operational auditability.

Architecture
Sense
Connect
Operate

System pattern

ai loop

Problem

A recognition workflow needed better confidence, on-device responsiveness and protection against simple spoofing attempts.

The camera flow needed to work quickly in real operational conditions.
Local records had to remain useful even before cloud sync completed.
Spoofing risk had to be considered without making the flow painful.

What Delighteck built

Delighteck combined mobile camera UX, face processing, liveness checks, local storage, cloud sync and admin review workflows.

Layer 1

Mobile camera captures and validates the face flow.

Layer 2

On-device processing provides fast feedback.

Layer 3

SQLite stores operational records locally.

Layer 4

Cloud sync keeps admin and reporting workflows current.

Result

The experience became faster and more practical for real-world check-in scenarios while preserving an auditable sync path.

Faster check-in/check-out experience.

Better resilience when connectivity is inconsistent.

Audit-ready data path for attendance operations.

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