NAVA Vision AI: Computer Vision for Industrial Site Visibility (PoC)

This solution uses existing CCTV/IP camera infrastructure, combined with optional data from industrial devices and enterprise systems, to automatically detect, track, and analyze vehicles, mobile equipment, containers, materials, and personnel movement across operational areas.

Built on AWS cloud services, the offering enables organizations to improve operational awareness, safety oversight, access validation, and asset utilization—without introducing new hardware or disrupting existing workflows.

• Cloud-based or edge-based inference using AWS services and NVIDIA GPUs
• Automated event logging and movement history
• Configurable alerts for abnormal or unauthorized activity
• Secure, scalable architecture built on AWS

1. Discovery & Site Assessment

• Review site layout, operational zones, camera placement, and workflows
• Identify movement patterns, access points, and monitoring requirements

2. Data Ingestion & Processing Pipeline

• Configure AWS services (Kinesis Video Streams, S3, Lambda) for ingesting live or recorded video
• Optional ingestion of signals from industrial devices (RFID, GPS, telematics, sensors)

3. Computer Vision Model Configuration

• Detect and classify vehicles, equipment, containers, and assets
• Track movement across defined operational zones
• Identify entry, exit, and transfer events

4. Deployment Options

• Cloud inference using Amazon SageMaker or Rekognition
• Edge inference using NVIDIA Jetson or GPU-enabled gateways for low-latency environments

5. System Integration

• API-based integration with ERP, MES, EAM/CMMS, access control, security systems, or industrial platforms

6. Dashboards & Reporting

• AWS QuickSight dashboards for movement history, asset activity, and operational insights

7. Validation & Handover

• Accuracy testing and performance tuning
• Documentation and knowledge transfer

• Configured computer vision pipeline
• Cloud or edge inference setup
• Integrated APIs for enterprise or industrial systems
• Operational dashboards and reports
• Deployment documentation and training

• Manufacturing & industrial plants
• Construction & infrastructure sites
• Energy & utilities
• Oil & gas facilities
• Mining and heavy industry
• Equipment rental and asset-intensive environments
• Large industrial campuses