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.
Instant Answers. Automated Defect Detection.
Download the brochure to discover how Safely Owlbert AI transforms your operations by generating forms straight from photos, delivering plain-language insights and charts, and using governed visual evidence to reduce defect 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.
Solution Area's
Visual Monitoring Built for Scale
Book a demo to see Owlbert Vision in real time.
Owlbert Vision FQAs
Owlbert Vision is Safely’s governed computer-vision engine designed to automatically detect anomalies, defects, and process faults from images and video . It turns standard visual monitoring into real-time operational control, helping businesses catch quality and compliance issues earlier .
Customers can capture imagery in two ways: automatically through Safely’s IoT Camera Modules, which continuously feed images and video from the line, or by manually uploading visual evidence on demand for specific investigations or condition checks .
Owlbert Vision runs structured analysis modes to identify foreign objects, product defects, or process faults . Every decision it makes is explainable and includes a confidence band, safe behaviour gates, and recommendations for human review when appropriate .
When quality falls outside your defined standards, Owlbert Vision triggers real-time alerts . This allows operations teams to intervene immediately, reducing defect escapes and rework rather than discovering the problem further downstream .
Yes. Owlbert Vision operates on a governed evidence model, meaning decisions are grounded in curated evidence . It securely stores traceable visual records of its detections, which can be used as proof for compliance audits, QA investigations, proof-of-fix verification, and standardising training across sites.
Owlbert Vision is an industry-agnostic solution . It is designed for any environment where visual inspection drives cost, risk, or quality, such as manufacturing QA, facility condition checks, incident management, and operational audits .
If enabled for your tenant, you can access it by navigating to the main sidebar and clicking on AI, then selecting Owlbert Vision . From there, you can upload files, run analysis, view findings, and manage results according to your organisation's consent and evidence workflows .