NAVA WorkforceVision AI : Presence & Productivity | Zero Cost Assessment

NAVA WorkforceVision AI transforms existing CCTV/IP camera infrastructure and optional operational-system data into actionable workforce intelligence.

The solution provides visibility into employee entry and exit, workstation coverage, productive activity, waiting time, downtime, movement patterns, maintenance response, and SOP adherence. It helps operations teams understand where workforce time is being used, identify staffing gaps, reduce non-value-added activities, and improve production flow.

Built using AWS cloud services with optional edge inference, WorkforceVision AI supports centralized visibility across multiple plants, production lines, workstations, and shifts. Configurable access controls, data-retention policies, and privacy safeguards can be applied according to organizational requirements.

• Gate-to-floor attendance visibility
• Real-time workforce headcount
• Workstation and production-line presence monitoring
• Active work, waiting time, downtime, break, and absence analysis
• Staffing-gap identification
• SOP and work-sequence adherence monitoring
• Workforce movement and congestion analysis
• Maintenance technician response tracking
• PPE, restricted-area, and ergonomic-risk monitoring
• Multi-plant and multi-shift workforce dashboards

1.Workforce Operations Assessment

• Review plants, production lines, workstations, shifts, and workforce workflows
• Identify productivity, staffing, attendance, compliance, and safety objectives
• Assess camera coverage, visibility, lighting, and operational constraints
• Define measurable workforce states and performance indicators

2.Video and Operational Data Ingestion

• Configure Amazon Kinesis Video Streams or Amazon S3 for video ingestion
• Optionally ingest machine, production, shift, attendance, MES, and maintenance data
• Synchronize visual events with operational context where available

3.Computer Vision Model Configuration

• Detect workforce presence across gates, lines, stations, and operational zones
• Configure activity states such as active, waiting, absent, or in transit
• Monitor workstation coverage and staffing gaps
• Track movement, congestion, and non-value-added walking
• Configure SOP, PPE, restricted-area, and ergonomic-risk events

4.Productivity and Time Analysis

• Measure productive time, waiting time, idle time, downtime, and absence
• Distinguish machine waiting, material waiting, and staffing-related delays where supporting operational data is available
• Identify repeated bottlenecks and workforce allocation gaps
• Analyze trends across shifts, lines, teams, and locations

5.Deployment Options

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

6.Enterprise Integration

• API integration with HRMS, MES, ERP, CMMS, time-attendance, and workforce-management systems
• Optional integration with machine-status and production systems
• Role-based dashboards for plant managers, production teams, maintenance teams, and leadership

7 .Dashboards and Reporting

• Real-time headcount and workforce-presence dashboards
• Productive, waiting, idle, and downtime analysis
• Workstation utilization and staffing-gap reporting
• Maintenance-response and SOP-compliance insights
• Cross-plant, line, station, and shift comparisons

8.Validation and Handover

• Validate activity classifications and workforce-event accuracy
• Tune operational rules and dashboard KPIs
• Configure privacy, retention, and role-based access controls
• Provide documentation, training, and knowledge transfer

• Configured workforce-intelligence pipeline
• Defined workforce activity states and operational rules
• Cloud, edge, or hybrid inference deployment
• Workstation-presence and staffing-gap analytics
• Productivity and time-utilization dashboards
• SOP, safety, and maintenance-response alerts
• Enterprise integration APIs
• Deployment, privacy, and operating documentation

• Manufacturing and assembly plants
• Automotive and electronics manufacturing
• Warehousing and distribution
• Logistics and transportation
• Energy and utility operations
• Oil and gas facilities
• Mining and heavy industry
• Construction and infrastructure operations
• Large multi-site industrial campuses