Case Study - Smell-Based Fire Prediction System
Top 16 – AI Việt Innovation 2024
BluLeap AI has developed an advanced smell-based fire prediction system that redefines early fire detection for high-risk environments.
- Client
- Smell-Based Fire Prediction System
- Year
- Service
- Smell-Based Fire Prediction System
Overview
Unlike traditional alarms that react only after visible smoke or heat, BluLeap’s solution leverages custom gas sensors, edge AI inference, and Bluetooth mesh networking to identify dangerous odors—such as burning plastic or overheating wires—before ignition occurs.
Key Features:
- Real-time alerts to control systems and personnel
- Continuous AI model updates over-the-air (OTA)
- Compact, scalable sensor nodes
Proven applications in electrical cabinets, EV charging areas, warehouses, and other mission-critical facilities
This innovative approach earned BluLeap recognition as a Top 16 finalist in the AI Việt Innovation 2024 Awards and demonstrates the power of AI and IoT to keep people and infrastructure safe.
What we did
- AI
- IoT
- EdgeAI
- FireSafety
- SmellDetection
- BluetoothMesh
- EmbeddedSystems
- PredictiveMaintenance
- Innovation