Customer Focus

Warehouse operators, manufacturing plants, and power utilities in India prioritize early fire detection, asset protection, and zero-downtime operations. Safety and facility managers require a fast-acting, intelligent detection system capable of monitoring large open spaces where traditional sensors underperform. The focus is on early warning, rapid response, and regulatory compliance without operational disruption.

Requirements

The customer required an AI-driven fire and smoke detection system capable of identifying early-stage smoke and flames across large, high-ceiling, open environments. The solution needed to integrate with existing CCTV, thermal cameras, fire panels, and suppression systems, operate continuously, and provide real-time alerts with minimal false positives.

Traditional smoke detectors reacted late due to ceiling height, airflow, and environmental conditions. Manual monitoring was impractical across large areas. False alarms and delayed response increased fire risk, property damage, and production downtime. Ensuring consistent safety coverage across storage racks, production floors, and utilities remained a critical challenge.

Pain Points

• Delayed smoke detection
• Inadequate coverage in open spaces
• High potential for asset loss

Lubi Electronics implemented an AI-powered Computer Vision fire detection system combining optical CCTV and thermal imaging analytics. The system continuously monitors live video feeds to detect smoke patterns and flame signatures at the earliest stage. Instant alerts are triggered via fire panels, sirens, SCADA, SMS, and email for rapid response.

Solution Highlights

• AI-based smoke & flame recognition
• Thermal + optical vision fusion
• Edge AI for real-time response