Operational Productivity
AI-powered monitoring of process compliance, machine uptime, and production losses — giving plant managers a real-time and historical view of operational efficiency from their existing camera infrastructure.
Modules in this solution
- SOP / Process Follow-Through Checks
- Machine Uptime Monitoring
- Idle Time & Downtime Detection
Overview
Production losses rarely announce themselves — they accumulate quietly through skipped process steps, machines sitting idle between jobs, and downtime events that go unrecorded until the end-of-shift log. By that point, the opportunity to intervene has passed. Servelens Operational Productivity uses AI video analytics on your existing CCTV cameras to monitor process adherence and machine activity in real time — closing the gap between what your SOPs say should happen and what is actually happening on the floor.
No PLC integration, no additional sensors, no changes to your production line. The system connects to your existing camera feeds and begins building an objective, timestamped record of process compliance and machine utilisation from day one.
Key Capabilities
- Real-time SOP step verification against defined process sequences
- Machine state classification — running, idle, or stopped — updated every frame
- Automatic timestamping of every machine state transition
- Instant alerts for unplanned stoppages and idle periods beyond defined thresholds
- Skipped-step and out-of-sequence process violation detection
- Shift-level compliance scores and machine utilisation reports
- Downtime frequency and duration trending per asset
- OEE availability data contribution from camera-verified uptime records
- Multi-machine, multi-line monitoring from a single dashboard
- API integration with CMMS, ERP, or quality management 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 Verification
SOP / Process Follow-Through Checks
Verifies that operators execute defined process steps in the correct sequence and within acceptable time windows. Flags skipped steps, out-of-order actions, or premature progression to the next stage — in real time, not during the next audit.
Live Monitoring
Machine Uptime Monitoring
Continuously tracks whether each machine is actively running or stopped, building a timestamped uptime record per asset across every shift. Replaces estimated or self-reported availability figures with camera-verified, objective data.
Downtime Alert
Idle Time & Downtime Detection
Distinguishes between planned idle periods and unplanned stoppages. When a machine remains idle or stopped beyond the configured threshold, an alert is dispatched immediately — with the exact start time and a camera snapshot for rapid diagnosis.
How It Works
Process & Asset Setup
Define your SOP sequences and map each machine or production line to the relevant camera view in the Servelens dashboard. No PLC access, no sensor installation, and no changes to the production line required.
Continuous AI Analysis
The AI model analyses visual motion signatures and operator activity in every frame — simultaneously classifying machine state and verifying process step execution against defined rules across all configured zones.
Instant Alerts
Any detected stoppage, idle breach, or process violation triggers an immediate alert to the relevant supervisor or maintenance team via dashboard notification, SMS, or API webhook — with a timestamped camera snapshot attached.
Utilisation & Compliance Reports
Shift-level and daily reports show machine uptime percentage, downtime frequency, idle duration, and SOP compliance scores per line or asset — exportable for OEE calculations, maintenance reviews, or quality audits.
Industry Use Cases
Business Benefits
Reduce Unplanned Downtime
Instant stoppage alerts mean maintenance teams respond in minutes rather than discovering machine failures at shift end — dramatically cutting mean time to repair and production loss per incident.
Eliminate Process Deviations
Real-time SOP verification catches skipped steps and out-of-sequence actions the moment they occur — preventing defects, rework, and quality escapes before they reach the next stage.
Accurate OEE Measurement
Replace estimated or self-reported availability figures with objective, camera-verified uptime data — giving your OEE calculations a reliable foundation for genuine improvement initiatives.
Identify Chronic Idle Patterns
Historical idle time data reveals which machines, shifts, or lines have recurring idle periods — pointing directly to scheduling, material flow, or changeover issues that erode overall equipment effectiveness.
Support Predictive Maintenance
Downtime frequency and duration trends over time surface machines stopping more often than expected — enabling proactive maintenance scheduling before a partial failure becomes a complete breakdown.
No PLC or Sensor Integration
Servelens works entirely from camera video — eliminating the cost, complexity, and production risk of retrofitting IoT sensors or integrating with legacy PLC and SCADA systems.
See Operational Productivity in Action
Our team will configure a live demo on a sample camera feed from your production floor — no PLC access, no sensor installation, no line changes needed.