CASE STUDYManufaturing

AI Camera Safety Solution for Detecting People Approaching Active Industrial Robots

Discover how EYEFIRE's AI Camera solution monitors danger zones around industrial robots, detecting human intrusion in real time and triggering instant alerts. The system helps reduce unauthorized access risks by 90%, improve workplace safety, and enhance operational efficiency in automated manufacturing environments.

90%
Reduce the risk of unauthorized access to hazardous areas.
35%
Increase the effectiveness of on-site safety monitoring.
85%
Reduce reliance on manual supervision.

CUSTOMER OVERVIEW

The customer is an automated manufacturing plant where multiple industrial robots operate continuously throughout the production area. These robots perform tasks such as assembly, machining, welding, packaging, and material handling with high speed and significant force.

During operations, the company must ensure the safety of workers who work near robotic areas while maintaining the continuity and efficiency of the production line.

Due to the highly automated nature of the manufacturing environment, real-time monitoring of danger zones around robots has become a critical requirement for minimizing workplace accidents and improving operational safety.

SOLUTION – EYEFIRE SAFETY

To improve safety within industrial robot operating areas, the factory deployed an AI Camera-based real-time danger zone monitoring system. The solution utilizes AI-powered CCTV cameras to automatically detect people entering monitored areas and instantly trigger alerts.

Two AI cameras are installed at opposite corners of the robot cell to ensure full coverage of the work area while minimizing blind spots.

SOLUTION HIGHLIGHTS

  • Installation of 2 AI Cameras at opposite corners of the robot area
  • Continuous monitoring of the entire danger zone surrounding the robot
  • AI automatically defines alert zones based on configured areas
  • Real-time detection of people entering hazardous zones
  • Automatic activation of warning lights and alarm sirens
  • Reduced monitoring blind spots within production areas
  • Live camera feeds displayed on monitoring screens (Live View)
  • Improved on-site response capability when risks occur

SOLUTION ARCHITECTURE

SOLUTION ARCHITECTURE

HOW IT WORKS

01

Cameras capture real-time images of the robot operating area

02

Image data is transmitted through the local network to the AI Hub

03

The AI Engine analyzes video streams and detects people within the monitored area

04

The system determines whether a person has entered a danger zone

05

AI generates real-time alerts

06

Alert signals are sent to warning lights and alarm sirens

07

Camera feeds are displayed on monitoring screens

08

All data is stored for post-event review and analysis

OUTCOMES

90%

Reduce the risk of unauthorized access to hazardous areas.

35%

Increase the effectiveness of on-site safety monitoring.

85%

Reduce reliance on manual supervision.

KEY OUTCOMES

  • Monitor robot operating areas continuously, 24/7
  • Provide instant alerts when people enter danger zones
  • Improve response speed to unsafe situations
  • Reduce workplace accident risks in automated environments
  • Support centralized safety management from the control room
  • Improve worker compliance with safety regulations

IN PRODUCTION

EXPANDED APPLICATIONS

Monitoring hazardous areas around automated welding robots.
Monitoring hazardous areas around automated welding robots.
Automated AGV and AMR area monitoring
Automated AGV and AMR area monitoring
Monitoring CNC machines and automated machining equipment.
Monitoring CNC machines and automated machining equipment.
Monitoring restricted-access areas within the factory.
Monitoring restricted-access areas within the factory.

Ready to bring safety AI to your facility?

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