Workforce Intelligence
AI-powered monitoring of operator behaviour, machine presence, and workforce productivity — turning your existing cameras into a real-time operations analytics layer without sensors, wearables, or additional hardware.
Modules in this solution
- Operator Behaviour Monitoring
- Operator Presence on Machines
- Time & Motion Study
Overview
Understanding how your workforce actually operates on the floor has historically required manual observation, clipboard-based time studies, or expensive IoT sensor networks. These methods are slow, inconsistent, and easy to game. Servelens Workforce Intelligence replaces all of that with AI video analytics running on your existing CCTV infrastructure — no additional hardware, no production line changes, no wearables.
The system continuously monitors operator activity at workstations, tracks presence at machines, and captures time-and-motion data per process step — giving operations managers a live and historical picture of workforce productivity that would previously take an industrial engineer days to compile manually.
Key Capabilities
- Real-time detection of operator presence or absence at assigned machines
- Behaviour classification — active, idle, distracted, or away
- Instant alerts when machines are left unattended beyond defined time thresholds
- Automated time & motion data capture per workstation or process step
- Cycle time measurement and variance tracking per station
- Shift-level productivity heatmaps and trend reports
- Historical playback and shift-to-shift comparison
- Anonymised analytics mode for privacy-compliant deployments
- Multi-camera coverage across large factory or warehouse floors
- API integration with existing ERP, MES, or HR systems
Detection in Action
Each module runs in real-time on your existing camera feed — here's what the AI detects and flags automatically.
Live Detection
Operator Behaviour Monitoring
Classifies operator activity in real-time as active, idle, distracted, or away — enabling supervisors to spot productivity issues as they happen rather than discovering them at shift end through manual review.
Presence Detection
Operator Presence on Machines
Detects whether an operator is present at a machine or workstation at all times. Triggers an alert the moment a machine is left unattended beyond a configurable threshold — preventing unplanned stoppages before they cascade into line downtime.
Automated Study
Time & Motion Study
Automatically records the time spent on each process step or workstation without requiring manual observation. Generates data-driven time study reports — with cycle time averages, variance, and idle breakdowns — that would traditionally take an industrial engineer days to produce.
How It Works
Zone & Role Mapping
Define workstation zones and assign camera views to specific machines or process steps directly in the Servelens dashboard — no hardware changes, no production line disruption required.
Continuous AI Monitoring
The AI model analyses every frame to detect person presence, classify activity state, and timestamp each transition — building a continuous, objective activity log per zone across every shift.
Threshold Alerts
When an operator is absent from a machine beyond the defined threshold, alerts are dispatched immediately to the relevant supervisor via dashboard notification, SMS, or API webhook — with the exact start time included.
Productivity Reports
Shift-level and daily reports summarise active time, idle time, presence percentages, and cycle time data per station — exportable for HR reviews, OEE calculations, or lean manufacturing improvement programmes.
Industry Use Cases
Business Benefits
Eliminate Manual Time Studies
Replace clipboard-based industrial engineering observations with automated, continuous data capture — reducing study time from days to minutes with greater accuracy and no observer bias.
Prevent Unplanned Line Stoppages
Instant alerts for unattended machines allow supervisors to reassign operators before a station stops — preventing costly production halts from propagating down the line.
Identify Process Bottlenecks
Cycle time data surfaces which workstations consistently run over target — giving process engineers real evidence to guide lean initiatives and line rebalancing decisions.
Data-Driven Shift Planning
Objective productivity trends across shifts and days give managers reliable data for staffing decisions, incentive planning, and performance conversations — replacing subjective supervisor reports.
Improve OEE Accuracy
Operator presence and activity data feeds directly into availability and performance components of OEE — replacing estimated figures with camera-verified reality.
No New Hardware Required
Servelens connects to your existing CCTV network via RTSP or ONVIF — no sensors, wearables, or production line changes needed. Live within days of installation.
See Workforce Intelligence in Action
Our team will configure a live demo on a sample camera feed from your factory floor or warehouse — no hardware changes, no production line disruption.