Attendance Kiosk

AI Facial-Recognition Workforce Attendance System

Engineered a facial recognition check-in system with automated reporting, analytics dashboards, and anti-spoofing liveness verification for modern workplaces.

(Client)

Enterprise Workforce Clients

(Role)

Full Stack AI & Systems Engineer

(Services Provided)

Facial Recognition AILiveness DetectionNext.js & Canvas APIWorkplace AnalyticsExportable Payroll Reports

(Live Product)

Visit Site

< 1.5s

Check-in Speed

99.2%

Face Recognition

Buddy-Punching

Cloud/Tablet

Deployment

01 / Problem

The Challenge

Building a touchless, tamper-proof workforce attendance system that operates reliably on standard tablet and webcam hardware without privacy leaks or slow recognition times.

02 / Execution

The Solution

Integrated client-side face detection models using TensorFlow/Canvas APIs to perform liveness detection right on the edge, backed by a Node.js dashboard for real-time manager alerts and payroll exports.

03 / Impact

Key Outcomes

Reduced employee check-in times to under 1.5 seconds per scan.

Completely eliminated time theft and buddy-punching via AI anti-spoofing verification.

Streamlined HR payroll processing with automated daily and weekly attendance reports.

Interface Highlights

CODEWITHEMMY

Attendance Kiosk

The Challenge

The Solution

Key Outcomes

Interface Highlights