Automated Borescope Inspection AI

Add an automated review layer to every borescope run with vision AI for automated borescope inspection. Built for the operations where the evidence for an engine's next thousand hours sits in an hour of scope footage, a borderline crack gets graded three ways by three inspectors, or a finding from the last shop visit can't be compared to today's because the two runs were logged differently. Whether you're inspecting turbofans in an MRO shop, gas turbines in a power plant, or the tubes, bores, and internal welds of industrial equipment, Roboflow runs on the borescope video you already capture, whatever scope you capture it with, and turns it into consistent, recorded findings.

Engine and Turbine Internals:

• Detect cracks, nicks, dents, and tip damage on compressor and turbine blades and vanes, frame by frame through the full rotation
• Catch coating loss, burn indications, and distress on combustor liners and nozzle guide vanes
• Grade findings consistently against limits, so the same indication reads the same way at every shop visit

Bores, Tubes, and Internal Welds:

• Inspect heat exchanger tubes, cylinder bores, and internal welds with the same models and workflow
• Catch corrosion, pitting, and deposit buildup in passages no fixed camera can reach
• Extend inspection into cast internal passages and machined bores, where a surface defect means a scrapped assembly later

Review Workflow and Records Integration:

• Review every frame automatically and surface candidate findings to the inspector for disposition, with the frame, location, and confidence attached
• Tie every finding to the engine serial, module, and section, so this visit's indication lines up against last visit's
• Feed findings into maintenance records, MES, and ERP through a standard API, with a full audit trail behind every run

Bring intelligence to every borescope run today. Stop findings from hiding in footage, drifting between inspectors, or missing the engine record.

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More About Automated Borescope Inspection

What is automated borescope inspection with Vision AI?

Automated borescope inspection with vision AI uses computer vision models to review the video and stills a borescope captures, frame by frame, and flag defects for inspector disposition: cracks, nicks, dents, coating loss, burn indications, corrosion, and pitting. Models trained on your actual findings library run on footage from whatever scope you already use, grade indications consistently against limits, and tie every finding to the engine serial and section, with records that support AS9100 and Part 145 documentation.

Can Vision AI handle borescope image quality: low light, glare, and lens distortion?

Borescope footage is the hard case: dim light at the end of a long probe, specular glare off polished airfoils, oil film, and the wide-angle distortion of scope optics. Deep-learning models trained on your actual scope footage learn what defects look like under those exact conditions rather than in studio lighting, hold that judgment across probes and operators, and flag low-confidence frames for human review instead of guessing, so degraded footage becomes a re-scope request rather than a missed indication.

Does automated borescope inspection support AS9100 and Part 145 requirements?

Yes. Roboflow models can run as documented inspection aids inside your AS9100 (aerospace quality management), FAA and EASA Part 145 (repair station), and ISO 9001 processes, with per-run inspection records, model version history, and training data lineage that support audits and OEM engine manual compliance. Roboflow is the inspection engine; your certificated inspectors own the disposition and the airworthiness decision.

Can it integrate with our maintenance records, MES, and ERP?

Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so borescope findings flow into your existing systems: maintenance record and shop visit systems, MES and ERP platforms like SAP and Oracle, and, in power generation settings, SCADA and HMI platforms like Ignition and AVEVA, through REST, MQTT, OPC UA, and direct database writes. Every finding carries the engine serial, module, frame, and disposition, with a full audit trail behind every borescope run.

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