Turn every downtime moment into a continuous improvement opportunity

1. A camera overseeing the production line

A single overhead camera is installed above or beside the workstation. It continuously records short video segments that can be linked to production events in real time.

2. Key downtime moments are detected and analyzed

When a micro-stop, performance drop, or unexpected stoppage occurs, the system automatically:

• Flags the exact timestamp and links it to the corresponding video
• Captures frames around the moment
• Suggests likely causes based on visual and operational data (e.g., no material, operator waiting, broken part)
• Highlights relevant objects or behaviors in the footage

3. Footage is stored for validation and review

Every stoppage receives its own visual evidence, allowing teams to validate or correct downtime codes, eliminate guesswork, and support root-cause analysis with real facts. This makes it easy to build KAIZEN tasks backed by evidence instead of assumptions.

Video footage is securely stored in a private cloud dedicated to the client, or stored in a client’s private server, to ensure compliance with the company's data privacy policies. 

Once installed, computer vision and video footage infrastructure can be utilized for where traditional sensors may not be sufficient, such as in stations with manual or hybrid operations or to deliver complementary data. The AI-based monitoring can be used to count production output, quality, and other operator activities in real time. Such models are customized to be adapted to the environment and the specific production line structure.

By combining data from machines, operators, and computer vision, the system provides comprehensive visibility into production performance and inefficiencies. This unified dataset serves as the single source of truth for performance analytics, OEE measurement, and continuous improvement initiatives. The philosophy behind Fabrico’s solutions is to support our clients to achieve 100% visibility of inefficiencies and solve them. Thus, we can deliver end-to-end transparency, eliminate data blind spots, and support enterprise-level optimisation across Bentley’s manufacturing operations

Remove ambiguity from downtime codes

Manual OEE inputs are often inconsistent or imprecise. Video-supported recognition delivers more accurate, standardized, and reliable cause identification—creating trustworthy OEE data that can support serious improvement projects.

Accelerate root-cause analysis

Instead of interviews or log reviews, supervisors simply watch the recorded clip to understand whether the issue was caused by equipment, materials, layout, unsafe motion, waiting, or upstream bottlenecks.

Empower continuous improvement teams and KAIZEN

CI engineers, team leaders, and managers quickly identify patterns and launch focused KAIZEN initiatives such as eliminating recurring micro-stops, improving material feeding, optimizing operator workflows, or standardizing best-practice methods.

Benefits for your factory

✔ Significantly improved OEE accuracy—No more vague or incorrect downtime codes.
✔ Faster, more confident decision-making—You see what happened, not just what was logged.
✔ Better alignment between production, CI, and quality—Everyone works from the same source of truth.
✔ Visibility into hidden inefficiencies—Micro-stops, waiting, and small waste moments become measurable.
✔ A modern, evidence-driven KAIZEN workflow—Video + analytics = continuous improvement that lasts.