Ensure Infrastructure Safety and Longevity with Edge AI & Computer Vision

CamAI’s Structural Health solution applies edge-based AI analytics to monitor the condition of bridges, buildings, tunnels, and other critical infrastructure. By processing vision and sensor data directly on-site, the platform detects structural anomalies in real time reducing reliance on the cloud, minimizing latency, and safeguarding privacy.

Core Capabilities

Real-Time Anomaly & Deformation Detection

  • Uses computer vision to track structural displacement, cracks, and vibrational changes, enabling early detection of damage or unusual behavior.
  • Employs lightweight deep‑learning models like CNNs, LSTM‑ResNet hybrids or auto-encoder frameworks for accurate edge-based anomaly detection in milliseconds.

Non-Contact Vision-Based Monitoring

  • Eliminates the need for traditional contact sensors cameras mounted at distance monitor displacement precisely without touching the structure.

Edge First Architecture

  • Processing occurs entirely on single-board devices (e.g. Jetson Nano, Coral Dev Board), ensuring ultra‑low latency, minimal bandwidth usage, and autonomous operation even in remote areas.

Crack Segmentation & TinyML

  • Advanced techniques like optimized U-Net architectures and EdgeSAM crack segmentation run effectively on resource-limited edge hardware, enabling efficient inference and continuous monitoring

The CamAI Advantage

Business Outcomes

Early Risk Detection

Identify emerging signs of structural fatigue before they escalate.

Reduced Inspection Costs

Automated monitoring replaces frequent manual inspections.

Extended Asset Life

Data-driven maintenance prolongs structural serviceability.

Regulatory Alignment

Enables compliance reporting and supports infrastructure safety frameworks.

Example Use Cases

Bridge Monitoring

Vision analytics quantify displacement and crack propagation during load and temperature cycles deployment using camera‑based systems running on Jetson Nano hardware with real‑time analysis

Building & Tunnel Inspection

Continuous structural surveillance detects shifts or defects from vibrations, environmental stressors, or seismic events using edge AI models.

Infrastructure Ageing Assessment

No baseline models are required cluster‑based anomaly detection techniques analyze dynamic vibration data to assess health of ageing structures.

Alignment with Industry Trends

Structural Health Monitoring using AI and edge computing is rapidly transforming infrastructure care by enhancing precision, robustness, and scalability. Leading research emphasizes vision-based, non‑contact methods as cost‑effective and reliable alternatives to conventional sensors.

Edge-first SHM frameworks demonstrate dramatic reductions in cloud dependency, while maintaining high accuracy and low data overhead

Why Choose CamAI

CamAI’s Structural Health solution brings together cutting-edge edge AI, computer vision, and predictive analytics into a cohesive system

Real-Time Insight

On structural integrity with minimal latency

Low Infrastructure Cost

Through local processing and TinyML

Privacy & Resilience

Even in remote or bandwidth limited environments

Scalable Deployment

For large networks of assets across wide geographies