CASE STUDYManufacturing

AI Camera Solution for Real-Time Worker Monitoring in Manufacturing Plants

Explore how AI Camera solutions enable real-time worker monitoring in manufacturing plants, improving workforce management, operational transparency, and factory efficiency through AI-powered tracking.

85%
Reduce the time spent on on-site inspection and verification.
40%
Improve the efficiency of shift-based personnel management.
70%
Reduce manual recording and monitoring operations.

CUSTOMER OVERVIEW

The customer is an industrial manufacturing enterprise operating multiple continuous production lines within factory and processing areas. During production, a large number of workers simultaneously perform tasks across various locations such as production lines, assembly areas, machine operation zones, and quality inspection stations.

Due to the high-density workforce environment and continuous shift-based operations, the company required real-time worker monitoring capabilities to support operational management, workforce optimization, and improved transparency in manufacturing activities.

However, manual monitoring methods or reliance on on-site reports made it difficult for the company to accurately determine where workers were operating, how long they stayed at each location, and whether they complied with assigned operational zones.

SOLUTION – EYEFIRE SAFETY

To enhance real-time worker monitoring capabilities, the company deployed a CCTV Camera system integrated with AI technology to automatically track worker presence and working positions inside the factory.

The system uses AI Cameras installed at operational areas to continuously capture images and automatically identify workers through ID numbers or QR Codes attached to uniforms or workstations.

All data is synchronized to centralized management software for real-time monitoring, verification, and statistical analysis.

SOLUTION HIGHLIGHTS

  • Real-time worker monitoring using AI Cameras
  • Automatic recording of working positions and working time
  • Worker identification through ID numbers or QR Codes
  • Monitoring worker presence or absence at assigned positions
  • Supports scanning and monitoring from behind workers within operational areas
  • Activity log storage for each individual worker
  • Centralized data synchronization to management software
  • Support for operational and presence history lookup

SOLUTION ARCHITECTURE

SOLUTION ARCHITECTURE

HOW IT WORKS

01

Cameras capture real-time images at working areas

02

The AI Engine detects and identifies workers within monitoring zones

03

The system reads ID numbers or QR Codes to determine worker information

04

AI automatically records worker location and presence duration

05

Data is synchronized to the central management software

06

The system performs statistical analysis, log storage, and real-time operational status display

OUTCOMES

85%

Reduce the time spent on on-site inspection and verification.

40%

Improve the efficiency of shift-based personnel management.

70%

Reduce manual recording and monitoring operations.

KEY OUTCOMES

  • Activity history storage for each worker
  • Fast operational incident investigation support
  • Reduced dependence on manual supervision
  • Simultaneous management of multiple production lines
  • Improved operational data digitization capabilities within the factory

IN PRODUCTION

EXPANDED APPLICATIONS

Monitoring personnel on the electronics assembly line.
Monitoring personnel on the electronics assembly line.
Supervise personnel in the machinery operation area.
Supervise personnel in the machinery operation area.
Monitoring workers in a food processing plant.
Monitoring workers in a food processing plant.

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