In industrial settings, even minor fires can rapidly escalate into major tragedies. Recent reports frequently highlight significant fire and smoke incidents caused by gas leaks, electrical malfunctions, and faulty heating systems.
Below are some recent fire-related disasters.
- In Bengaluru’s Nagarthapete, a plastic mat manufacturing unit cum residence caught fire overnight, killing two people in the blaze.
- In Telangana, a chemical factory operated by Sigachi Industries exploded and burned, resulting in the deaths of 40 people and over 33 injured.
- In another recent industrial incident in Delhi, the structure later collapsed following a blast, resulting in injuries to 3 people
The Challenges and Shortcomings of Traditional Safety Methods in Large Industrial Settings
In sprawling industrial campuses, external open areas, dense equipment zones, and multipurpose structures all create detection blind spots. Here are the core challenges:
- Extensive external areas are exceedingly difficult to monitor with point sensors.
- Scale and density mean a fire or smoke plume may take time to spread before being noticeable to human observers.
- Traditional fire/smoke sensors (e.g. smoke detectors, heat sensors) struggle outdoors, as wind, dust and temperature fluctuations interfere. As a result, fires often go undetected until it’s too late.
Existing Solutions and Their Limitations
While most industrial facilities have emergency protocols in place, real-world challenges often limit how effective these systems truly are. Here’s why:
1. Emergency teams & mock drills
These help when fire is detected, but large campuses have fewer personnel patrolling external areas. Many incidents are noticed only after the smoke or fire has spread.
2. Thermal cameras/temperature sensors
These detect rising heat, but are expensive and have narrow coverage. They also may not detect early smoke before the heat builds significantly.
3. Fire retardant systems (sprinklers, extinguishers)
Essential, yes, but only effective if the alarm is raised early. Late triggers may render these systems insufficient against an advancing blaze.
4. Manual CCTV monitoring
Watching live video feeds 24×7 is resource-intensive, prone to fatigue, and often not precise enough to catch early smoke or flame signatures.
Our Solution: AI-Based Fire & Smoke Detection Using AI Video Analytics
We have developed AI-powered fire and smoke detection technology that uses Artificial Intelligence (AI) and deep learning algorithms to analyse video footage from CCTV cameras and detect abnormal patterns like flames or smoke in real-time.
Benefits of Video Analytics in Fire and Smoke Detection
1. Leverages existing CCTV infrastructure
Our AI-powered video analytics bot can detect both smoke and fire in real time using existing CCTV cameras, eliminating the need for new hardware or major infrastructure upgrades.
2. Powered by State-of-the-Art AI for Unmatched Accuracy
Our Fire and Smoke BOT continuously monitors video feeds to identify even the faintest signs of fire or smoke, with over 95% consistent detection accuracy.
Unlike traditional AI systems, our computer vision and deep learning models are trained on numerous simulated scenarios, meaning no on-field testing with actual smoke or fire is required in vulnerable factory zones. This ensures safety during training and real-world readiness when deployed.
3. Real-time Alerts and Audible Warnings
In critical moments, information is everything. Our AI video analytics platform sends real-time mobile alerts to authorised emergency teams and directly triggers emergency sirens in nearby zones
This allows teams to respond faster and more accurately, ensuring immediate on-ground action before the situation worsens.
4. Simplifying compliance and Fire NOC approval
Beyond safety, our AI video analytics-based fire and smoke detection solution also helps organisations in meeting regulatory standards. Its ability to trigger instant emergency sirens helps companies align with Indian fire safety laws and simplify Fire NOC approvals, offering both compliance and peace of mind.
Conclusion: The Future of Fire Safety Is AI-Driven
Whether you’re managing a manufacturing unit, warehouse, or large industrial campus, integrating a fire and smoke detection system using AI video analytics is no longer a choice, it’s a necessity.
AIVID.AI’s intelligent fire and smoke detection system bridges the gap between prevention and response, ensuring every second counts when it matters most. Because when it comes to fire, early detection saves lives, assets, and trust.