Hazardous Area Surveillance IoT // Vision AI 2026

IoT Vision

Real-time visual inspection of hazardous areas. We deploy ATEX-certified AI-cameras that autonomously identify leaks, thermal anomalies, and structural fatigue in millisecond cycles.

Edge-AI Inference Multispectral Fusion ATEX Zone 0/1

Hardened Visual Intelligence

Anomaly Detection

Utilizing Convolutional Neural Networks (CNNs) to distinguish between harmless steam and hazardous gas plumes in real-time.

Thermal Synthesis

Combining LWIR (Infrared) and RGB streams via Edge-HPC to detect heat build-up through dense smoke or steam.

Synthetic Training

Preparing AI for rare catastrophes using high-fidelity 3D simulations, ensuring recognition of events that have never occurred.

Visual Safety Pipeline

Phase IoT/AI Action Outcome
Stream Capture Video ingestion into Edge-Inference Nodes within the hazardous zone. Zero-Lag Mirroring
Evaluation Running Neural Segmentation on every frame at the network edge. Instant Hazard Alerts
Archiving Metadata-enriched storage on Lustre/GPFS for forensic analysis. Immutable Safety Audit