Early detection of Fire and Smoke in Manufacturing Industry

The Scope
At ITP we recently implemented a computer vision–based fire and smoke detection solution to enhance safety and reduce response time in industrial environments.
The Problem
Industrial facilities such as warehouses, open areas, cable tunnels, and workshops are exposed to risks of localized fires and heavy smoke caused by equipment overheating, technical malfunctions, sparking, or non-compliance with safety regulations.
Early detection is critical: even a short delay of 30–60 seconds can lead to:
- Significant property damage
- Production downtime
- Increased risk to personnel safety
Traditional fire and smoke sensors do not always respond quickly enough, particularly in large or open spaces where wide-area monitoring is required.
The Solution
ITP implemented a computer vision system designed for continuous monitoring of high-risk areas.
The solution includes:
- 24/7 video monitoring using cameras positioned at multiple angles
- Neural network–based detection of smoke and flames, analyzing movement patterns, color characteristics, and air transparency
- Automatic incident logging, including time, location, and video fragments
- Immediate alerting, with alarms transmitted to internal systems, control panels, mobile devices, or directly to fire suppression systems
The solution integrates with existing infrastructure and operates in real time.
The Outcome
The implemented system enabled the organization to:
- Detect fire and smoke incidents at an early stage
- Reduce response time to potentially critical situations
- Improve safety for personnel and facilities
- Minimize potential losses and operational disruptions
Early visual detection provides an additional layer of protection beyond traditional sensors.
Key Takeaways
Computer vision enables faster detection of fire and smoke in large and complex spaces where traditional sensors may respond too slowly. Early visual alerts significantly reduce risk, potential damage, and downtime by accelerating response times. Video-based detection complements existing sensor systems, providing an additional layer of safety. Real-time integration with internal systems ensures immediate escalation and coordinated response to critical incidents.