Official Platform

AI Attendance System

Smart Facial Recognition & Workforce Platform

Project Overview

Miniorbits AI Attendance System transforms workforce tracking by replacing outdated fingerprint sensors and paper registers with touchless, real-time facial recognition. Powered by deep learning computer vision, it accurately verifies employee identity in milliseconds, eliminates buddy punching with 3D liveness detection, and syncs clock-in events with GPS geo-fencing on mobile devices and wall-mounted tablets.

The Challenge

Traditional biometric fingerprint scanners are unhygienic, prone to sensor wear and failure, slow in high-volume shifts, and vulnerable to buddy punching. Remote and field workers are difficult to verify accurately without expensive hardware.

The Engineered Solution

We engineered an end-to-end AI attendance suite utilizing deep learning face recognition models, FastAPI async backend, and a responsive Flutter cross-platform mobile app. Employees simply glance at a tablet kiosk or smartphone camera to clock in securely with verified GPS coordinates and sub-second face matching.

Key Platform Features

Sub-second multi-angle facial recognition with >99.4% accuracy

Anti-spoofing & liveness detection (prevents photo, video, and mask spoofing)

Mobile GPS geo-fencing (ensures staff clock in only at designated project sites)

Touchless tablet kiosk mode for office, retail, and factory entrance doors

Shift scheduling, roster management, late arrival alerts, and overtime tracking

Automated leave requests, holiday calendars, and multi-tier manager approvals

One-click payroll integration and exportable attendance audit reports (CSV/PDF)

Offline capture mode with automatic cloud sync when network reconnects

System Architecture & Interface Layouts

interface

Touchless Face Recognition Kiosk

Live camera stream detecting face landmarks and confirming attendance in sub-second time.

interface

Admin Workforce Telemetry Dashboard

Real-time overview of on-duty staff, late arrivals, absent personnel, and department summaries.

mobile

Mobile App Geo-Fenced Clock-In

Field staff selfie verification strictly validated against authorized office/site GPS radius.

interface

Shift Roster & Automated Payroll Export

Comprehensive monthly attendance logs, overtime calculations, and payroll-ready reports.

Miniorbits AI Attendance System is an official company software platform developed and maintained directly by Miniorbits.

Project Classification

CategorySoftware

TypeCompany Product

Architectural Metrics

Recognition Speed< 0.5 Seconds

Verification3D Liveness Anti-Spoof

DeploymentTablet Kiosk + Mobile App

Data SecurityEncrypted Vector Hashes

Technologies & Frameworks

Python 3.11FastAPI AsyncOpenCV & Deep Learning Face EmbeddingsFlutter (Android, iOS & Tablet Kiosk)PostgreSQLSQLAlchemy & RedisDocker & Cloud APIs

Interested in architecting a system with these specifications?

Request Technical SOW