NAVA Vision AI: DamageView – Automated Damage Detection (Zero-Cost PoC)

The NAVA Vision AI: DamageView enables organizations across manufacturing, industrial plants, logistics hubs, construction sites, energy facilities, retail distribution centers, ports, and oil & gas operations to automatically detect and document damage using real-time computer vision and AI.

DamageView analyzes camera feeds or uploaded images to identify scratches, dents, cracks, deformation, missing components, surface damage, forklift impact damage, equipment misuse, and packaging failures.

This service uses a combination of technologies including, but not limited to OpenCV, YOLO, Rekognition Custom Labels, SageMaker, Kinesis Video Streams, S3, Lambda, and QuickSight to build a secure, scalable damage assessment pipeline powered by your existing CCTV/IP camera infrastructure.

The solution helps reduce claim disputes, accelerate inspections, cut operational delays, and maintain high-quality standards. It seamlessly integrates with ERP, WMS, YMS, EAM/CMMS, QMS, insurance/claims systems, and other operational platforms. Optional edge deployment using NVIDIA Jetson or GPU-enabled gateways supports low-latency analysis in rugged industrial or remote environments.

• Supports cargo, containers, forklifts, machinery, equipment, pallets & vehicles
• Cloud or edge inference using AWS services or NVIDIA Jetson
• Customizable detection rules per industry or asset type
• Evidence capture with time-stamped frames and visual markup
• QuickSight dashboards for inspection history, defect trends & patterns

Damage Analysis Workshop

• Identify target assets, damage types, inspection workflow, and integration points

Data Pipeline Setup

• Configure Kinesis Video Streams / S3 ingestion for live or batch image processing

Model Development & Training

• Train/optimize models for relevant damage categories using SageMaker or Rekognition Custom Labels

Deployment Options

• Cloud inference via SageMaker or Rekognition endpoints
• Edge inference via NVIDIA Jetson / GPU gateways for low-latency, onsite analytics

System Integration

• APIs for ERP, WMS, YMS, EAM/CMMS, QMS, or claims systems for automated workflows

Dashboards & Reporting

• Build Dashboards for defect summaries, trends, and inspection logs

Testing & Validation

• Accuracy tuning, threshold configuration, and end-to-end system validation

Documentation & Knowledge Transfer

• Full documentation, SOPs, and training for operational teams

• Fully deployed DamageView detection pipeline
• Cloud or edge inference system configured
• API integrations with customer systems
• Automated evidence capture and inspection logs
• Dashboards for analytics and reporting
• Performance & accuracy validation report
• Deployment documentation and knowledge-transfer workshop

• Provide sample damage images or historical inspection data
• Provide access to CCTV/IP camera feeds or image sources
• Provide AWS environment access or provisioning approval
• Provide integration access for ERP/WMS/YMS/EAM/QMS/claims systems
• Ensure network connectivity for camera → AWS or camera → edge devices