Owlbert Vision

Automated Visual Quality Monitoring.

Owlbert Vision is Safely’s governed computer-vision engine for detecting anomalies, defects, and process faults from images and video either uploaded by users or captured continuously via Safely’s IoT Camera Modules. It turns visual monitoring into real-time operational control by generating structured detections, confidence-rated outcomes, and recommended actions, enabling faster intervention, stronger traceability, and reduced quality escapes.




How It Works

Step 1 

Capture Imagery Automatically
Camera modules can continuously capture product images and video on the line, feeding them into Safely, while teams can also upload images/videos for investigation or verification.

Step 2

Detect Anomalies with Visual Reasoning
Owlbert Vision runs structured analysis modes (including anomaly detection and compliance checks) to identify foreign objects, defects, or process faults, returning a decision with confidence and explanation.

Step 3

Trigger Alerts & Workflows
When quality falls outside defined standards, detections can generate real-time alerts and traceable records, allowing operations teams to react immediately rather than discovering issues later downstream.

Step 4

Store Traceable Visual Records
Detections and associated visual evidence can be stored as structured records to support audits, QA investigations, training, and continuous improvement across sites and lines.

 






Core Features

 

Camera Module Integration

Camera modules continuously capture images and video and feed them into Safely for automated monitoring.

Real-time Anomaly Detection 

Owlbert Vision analyses imagery to detect anomalies and process faults in real time.

Explainable Confidence Gated Outcomes

Each result includes a confidence band with safe behaviour gates and human review recommendations where appropriate.

 

Governed Evidence Model

Decisions are grounded in curated/approved evidence and bounded by a capabilities contract to stay defensible and enterprise-safe.

The Impact 

Owlbert Vision integrates into Safely by connecting continuous camera capture to real-time anomaly/defect detection, alerts, and traceable records so quality and compliance issues are caught earlier, acted on faster, and proven with visual evidence.

The business impact is reduced defect escape and rework, faster root-cause investigations, stronger audit defensibility through traceable visual records, and more consistent standards across teams and sites—while governance features (capabilities contracts, evidence approval, and confidence gating) keep results safe, explainable, and enterprise-ready.

Visual Monitoring Built for Scale

Book a demo to see Owlbert Vision in real time. 

 






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