Case 01 | Logistics Warehouse
Fire Early Smart Warning
AI dynamic confidence recognition technology achieves high-precision early fire detection in complex warehouse environments. Transition from reactive response to early smart warning.
Challenges
Three Site Challenges
Complex Environment
Strong light, backlight, dust, and cargo obstruction交替 throughout day and night made traditional surveillance cameras prone to false alarms.
Hard-to-Detect Risks
Early-stage fires produce only small flames and thin smoke, making detection via manual patrol nearly impossible.
Massive Scale
61 high-resolution cameras in the relay yard caused visual fatigue during continuous human monitoring, increasing oversight risk.
Solution
AI Dynamic Confidence Recognition
Multi-frame edge analysis algorithm captures early flame and smoke characteristics with high precision. Smart filtering eliminates interference from red cargo, lighting reflections, etc., dramatically reducing false alarm rates.
7×24 Seamless Deployment
Leverages all 61 existing cameras with zero new hardware cost. High-parallel video stream analysis with year-round automated patrol and sub-second alerting.
Existing Equipment Compatible
Upgrades existing cameras to AI capability without additional hardware investment.
Results
Dramatic Improvement in Detection Speed & Accuracy
Hidden early flames captured accurately, eliminating missed detection and false judgment risk.
Minute smoke particles identified instantly with zero missed records.
Millisecond real-time analysis with alarm response within 15 seconds.
PoC
Start with a small-scale proof of concept.
We'll assess your existing cameras, target areas, and improvement metrics to propose the optimal approach.
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