You are here
Communications Industry

[AI] - Easing Congestion for Over 1,600 Workers: Thanh Hoa Footwear Factory Operates Smoothly with AI-Based Contactless Time Attendance System

May 30, 2025

1. Background & Challenges

A footwear factory in Thanh Hoa with over 1,600 workers used to face severe congestion during shift changes, as hundreds of employees queued up to clock in using fingerprint scanners.
This situation highlighted the growing limitations of fingerprint-based attendance systems, especially in high-intensity manufacturing environments like:

  • Bottlenecks at entry gates during peak hours
  • Recognition failures due to wet/dirty hands or worn-out sensors
  • Frequent malfunctions requiring fallback to manual time tracking
  • Dependence on hardware, with limited flexibility during outages

→ These issues led to inaccurate data, wasted processing time, and eroded employee trust.

In labor-intensive industries such as footwear manufacturing, this is not just a technical issue, it directly impacts operational efficiency and worker engagement.


2. Deployed Solution: AI Time Attendance System – aiTimelog

To effectively resolve these operational bottlenecks, the factory implemented aiTimelog – an AI-powered facial recognition attendance system that is contactless and non-stop, significantly reducing check-in time and easing congestion for nearly 800 workers during peak shift hours.

The solution has several superior advantages:

  • 12x faster processing speed, recognizing up to 6 individuals per second
  • 99.99% accuracy, even when employees are wearing masks or in motion
  • Real-time data sync and automated attendance calculations via HR management software
     

Impact After Implementing aiTimelog

Criteria Traditional Attendance AI-Based Attendance (aiTimelog)
Clock-in congestion Daily bottlenecks during peak hours No more congestion, smooth flow
Total recognition time per shift 14–15 minutes ~1.5 minutes
Manual attendance errors Frequent due to machine failures Completely eliminated, auto-synced
Recognition accuracy Dependent on clean fingers/fingerprint clarity 99.99%, even with face masks
Worker satisfaction Frequent complaints, low trust Transparent, fair, significantly improved

The implementation of aiTimelog not only resolved the attendance tracking issue but also improved overall operations, reduced HR workload, and increased worker satisfaction. The system saves time, ensures transparent data, and contributes to higher productivity across the entire factory.

aiTimelog is a foundational solution to accelerate digital transformation and sustainable growth in the footwear manufacturing industry.

To learn how aiTimelog can enhance your business operations, [CONTACT US HERE].

Next