5 Best OEE Software Platforms for Visual Downtime Verification (2026 Review)

Respuesta rápida: El mejor software OEE para la verificación visual de tiempos de inactividad utiliza visión artificial (CV) para registrar el estado de la máquina cuando se informa de una parada, por lo que los operadores ya no tienen que escribir el motivo. El software OEE de visión artificial de Fabrico reproduce los 30 segundos anteriores y posteriores a cada evento de tiempo de inactividad y clasifica automáticamente la causa.

Resultado: la precisión de los datos de tiempo de inactividad aumenta de aproximadamente un 40 % (códigos de motivo manuales) a aproximadamente un 95 % (verificado por CV), y los diagramas de Pareto finalmente revelan la verdad.

• Visual downtime verification = camera + computer vision tied to OEE events, with 15-second video replay per stop.
• Fabrico is the only platform on this list with native computer vision OEE. The others overlay video on top.
• Platforms reviewed: Fabrico, Tulip, TrakSYS by Parsec, Drishti, Augury.
• Year-1 TCO: from EUR 22k (Fabrico small plant) to EUR 600k+ (Drishti enterprise vision).
• Deployment: Fabrico 30 days, Tulip 45 days, TrakSYS 6-9 months, Drishti 60-90 days, Augury 90 days.
• KPI: % of stop events with linked video clip accessible within 30 seconds. Target above 90%.

Related deep-dives: Computer Vision OEE field guide · OEE monitoring without PLC · automated downtime categorization · closing the OEE-CMMS loop.

Visual downtime verification means the OEE platform watches the line with a camera, sees what happened during the stop, and lets the supervisor or maintainer replay 15 seconds of video around the loss event. No more arguments about whether it was operator behaviour, machine failure or material starvation.

The video is the source of truth.

This review compares the five platforms European mid-market plants shortlist in 2026 for real visual verification (not just dashboards over PLC data).

What Visual Verification Should Actually Mean

The honest bar: every stop event has a 15-second clip attached, watchable from the dashboard in under 30 seconds, ideally without operator confirmation. That clip resolves the categorization argument before it starts.

Maintainers stop saying "the operator did it"; operators stop saying "the machine did it". The video says what happened.

Fabrico, Native Computer Vision OEE

Best for mid-market European plants that want visual verification from day one without a separate vision platform. Fabrico computer vision is the OEE engine, not an overlay, so every stop already has the video frames tied to it. Clip is one tap from the dashboard.

Realistic 2026 numbers: Year-1 TCO EUR 22k-70k for a 6-line plant fully loaded. Deployment 30 days. No PLC required. Read the OEE software pricing breakdown.

Tulip, Frontline Ops with Vision Add-On

Best for plants that already run Tulip for operator workflow and want the camera as an add-on. Vision is a module, not the core, so video lookup is per-asset configuration. Strong app-building flexibility.

Realistic 2026 numbers: Year-1 TCO EUR 60k-180k for a multi-line plant including vision. Deployment 45 days.

TrakSYS by Parsec, OEE Core + Vision Overlay

Best for process industry plants where TrakSYS is already the OEE platform and vision is added on top for specific assets. Strong PLC depth, vision is bolted on. Read the full TrakSYS review.

Realistic 2026 numbers: Year-1 TCO EUR 150k-500k including vision overlay. Deployment 6-9 months.

Drishti, Enterprise Vision-First

Best for very large discrete plants that buy vision as a strategic capability, not a feature. Drishti specializes in assembly-line action recognition. Heavier deployment, deeper analytics.

Realistic 2026 numbers: Year-1 TCO EUR 250k-600k+. Deployment 60-90 days for pilot.

Augury, Vision Plus Acoustic Monitoring

Best for plants where vision plus machine acoustic monitoring matter equally. Augury extends visual verification with sound-based anomaly detection. Niche but powerful when the use case fits.

Realistic 2026 numbers: Year-1 TCO EUR 80k-250k. Deployment 90 days.

Decision Matrix

• Mid-market plant, visual verification in 30 days, no PLC complexity: Fabrico.
• Tulip already at the plant: Tulip vision add-on.
• Process plant with TrakSYS: TrakSYS vision overlay.
• Large discrete with strategic vision investment: Drishti.
• Vision plus acoustic monitoring required: Augury.

4-Week Pilot Protocol

• Week 1: Configure cameras on one critical asset, baseline manual categorization accuracy.
• Week 2: Run live, measure time-to-video-replay from stop event.
• Week 3: Survey maintainers, do they trust the clips, false-positive rate.
• Week 4: Compare resolved-vs-disputed categorizations before and after vision. Vision should move resolved-without-dispute from 40% to 85%+.

FAQ

What about privacy and works council concerns?

Real concern. Fabrico, Tulip and Drishti all support privacy-preserving modes: pose detection without facial recognition, region-of-interest masking, GDPR-compliant retention. Works council buy-in is part of the 4-week pilot.

Can we use existing CCTV cameras?

Sometimes. Fabrico and Drishti can ingest existing IP camera streams if resolution is sufficient. Tulip and TrakSYS typically prefer their own cameras.

How does this differ from automated downtime categorization?

Categorization tags the stop with a reason code. Visual verification produces the video clip that proves the reason. Best paired together.

Bottom Line

Visual downtime verification ends the categorization argument. The video is the source of truth. Match the platform to plant size and complexity. Run the 4-week pilot. Drive resolved-without-dispute above 85% before you ship.