NAVA ComplianceVision AI : SOP & Audit Compliance | Zero Cost Assessment

NAVA ComplianceVision AI transforms existing camera infrastructure into a continuous compliance-monitoring system for manufacturing plants, warehouses, logistics facilities, energy sites, mining operations, and other industrial environments.

The solution uses computer vision to observe compliance-critical activities, detect deviations from defined procedures, and automatically capture time-stamped video clips, images, and event metadata. This enables organizations to identify compliance gaps earlier, improve accountability, simplify audits, and reduce the operational risk associated with manual monitoring.

Built using AWS cloud services with optional edge inference, ComplianceVision AI can be securely integrated with existing quality, safety, audit, and enterprise systems.

• SOP and work-instruction adherence monitoring
• Company policy and regulatory compliance monitoring
• Automatic detection of compliance deviations
• Quality inspection and process-step verification
• Time-stamped visual evidence capture
• Real-time alerts for compliance violations
• Compliance trends, dashboards, and audit-ready reports
• Centralized monitoring across multiple sites and shifts

1. Compliance Discovery and Assessment

• Review existing SOPs, policies, audit requirements, and compliance workflows
• Identify compliance-critical activities suitable for visual monitoring
• Assess camera positioning, video quality, lighting, and operational coverage
• Define measurable compliance events and success criteria

2. Video Ingestion and Processing

• Configure Amazon Kinesis Video Streams or Amazon S3 for live and recorded video
• Configure secure video retention and evidence-storage policies
• Process operational events using AWS Lambda or related AWS services

3. Computer Vision Model Configuration

• Configure models for SOP steps, worker activities, equipment interactions, and quality checks
• Define compliance zones, activity sequences, and event conditions
• Detect missed steps, incorrect sequences, unauthorized activities, and policy violations
• Apply configurable confidence thresholds and human-review workflows

4. Evidence and Alert Configuration

• Automatically capture event images, video clips, timestamps, and metadata
• Configure alerts for compliance deviations and critical violations
• Organize evidence by site, process, policy, event type, and date

5. Deployment Options

• Cloud inference using custom models deployed through Amazon SageMaker
• Edge inference using NVIDIA GPUs or edge gateways for low-latency environments
• Hybrid deployment for local processing and centralized AWS reporting

6. Enterprise Integration

• API-based integration with MES, QMS, EHS, ERP, audit, and incident-management platforms
• Optional integration with email, messaging, and workflow systems
• Role-based access to compliance evidence and reports

7. Dashboards and Audit Reporting

• Compliance dashboards using Amazon QuickSight or a custom application
• Track compliance percentage, violations, trends, repeat issues, and corrective actions
• Generate organized, audit-ready reports with supporting visual evidence

8.Validation and Handover

• Accuracy testing against agreed compliance scenarios
• Model and event-rule tuning
• User documentation, administrator training, and knowledge transfer

• Configured compliance-monitoring pipeline
• Defined SOP and policy-monitoring rules
• Cloud, edge, or hybrid inference setup
• Automated compliance alerts
• Time-stamped visual evidence repository
• Compliance dashboards and audit-ready reports
• Enterprise integration APIs
• Deployment and operating documentation

• Manufacturing and assembly operations
• Warehousing and distribution
• Logistics and transportation
• Energy and utilities
• Oil and gas facilities
• Mining and heavy industry
• Construction and infrastructure
• Food processing and regulated industrial environments