As an important nondestructive testing method, industrial borescope inspection plays a critical role in full lifecycle management of aerospace equipment.
With the rapid development of artificial intelligence, traditional borescope inspection is evolving from manual visual interpretation to intelligent defect recognition.
[Image]
The ApexScope X3 integrated borescope system from Beijing AIXUNFEI Technology Co., Ltd. integrates 3D precision measurement, an AI closed-loop assistance system, electric steering tools, and high-definition imaging. It provides a systematic technical solution for aircraft engine borescope inspection, airframe structure inspection, and other aerospace inspection scenarios.
This article analyzes the technical characteristics and application value of ApexScope X3 based on aerospace inspection requirements and technical practices.
1. Aircraft Engine Borescope Inspection
As the core power unit of an aircraft, the aircraft engine operates under extreme conditions, including high temperature, high pressure, and high rotational speed. Its internal hot-section components are directly related to flight safety.
Borescope inspection is the only nondestructive testing method that allows direct observation of internal engine components without disassembly.
[Image]
Inspection objects include engine fan sections, compressors, combustion chambers, turbines, and accessory gearboxes.
Typical inspection areas include blade tip wear, blade surface scratches, burns, cracks, curling, and missing corners on compressor and turbine rotor blades; cracks, burn-through holes, coating peeling, and carbon deposits on combustion chamber liners; thermal corrosion, fatigue cracks, and deformation on guide vanes and stator blades; and seal coating wear or tenon cracks on turbine disks and sealing structures.
Traditional borescope inspection relies on inspection engineers to visually evaluate borescope images. The result may be affected by operator experience, fatigue, and consistency of interpretation standards.
[Image]
The AI recognition system integrated into ApexScope X3 is trained for typical aircraft engine defects. It detects defects in real-time video streams and helps inspectors quickly locate potential damage areas.
The 3D measurement system provides multiple measurement modes with accuracy up to 0.01 mm. It can quantitatively evaluate geometric parameters such as crack length, pit depth, wear area, and blade-to-casing clearance, providing data support for damage tolerance assessment and maintenance decisions.
[Image]
In terms of deployment architecture, ApexScope X3 realizes closed-loop AI inspection capability through Engine SRT, DeepReason IND decision assistance, and the DeepData data management platform.
All inference computing is completed locally on the device. Inspection images and result data do not need to be uploaded to external servers.
Aircraft engine model parameters, defect images, and maintenance records are sensitive data. The edge-side deployment architecture physically prevents data leakage. At the same time, local inference eliminates network transmission latency and meets the real-time requirements of on-site inspection.
2. Airframe Structure and System Component Inspection
In addition to engines, the integrity of aircraft structures and various onboard systems is also a key object of nondestructive testing.
For structural component inspection, borescopes are used to examine closed or semi-closed cavity structures, such as the inner walls of landing gear struts, integral wing fuel tank panels, fuselage reinforcement frames, and vertical tail connection joints.
These inspections help detect hidden risks such as stress corrosion cracks, loose fasteners, aging sealing structures, and foreign objects. If structural defects are not found in time, they may expand into structural cracks under alternating loads and affect the integrity of the aircraft structure.
[Image]
For pipeline and wiring channel inspection, aircraft hydraulic systems, fuel systems, and electrical wiring channels often have narrow internal spaces and complex routing. During final assembly and overhaul, tools, debris, or other foreign objects may remain inside, creating safety risks.
A borescope can inspect internal channels for foreign objects without disassembling pipelines, making it an important quality control step before release.
3. Integrated Technical Features of the System
For image acquisition, ApexScope X3 supports high-definition dynamic imaging, meeting the need for clear observation during engine rotor rotation.
[Image]
For AI recognition, the system supports automatic recognition of multiple defect types, reducing differences in manual interpretation and improving inspection consistency.
For 3D measurement, the system provides multiple measurement modes with measurement accuracy up to 0.01 mm and accuracy not lower than 95%, providing quantitative support for damage evaluation and maintenance decision-making.
For model utilization, the system supports ready-to-use model import. One device can cover multiple inspection scenarios, including aircraft engine borescope inspection, airframe structure inspection, and weld defect recognition.
For data security and deployment architecture, the system adopts an edge-side offline deployment solution. All inference computing and data storage are completed locally, physically preventing data leakage and meeting the strict sensitive information security requirements of the aerospace industry.
For workflow, DeepReason IND and the DeepData data management platform work together to build a complete local closed-loop inspection workflow, from image acquisition and intelligent recognition to data archiving.
[Image]
From Manual Visual Inspection to AI-Assisted Aerospace Inspection
The application of industrial borescope inspection technology in aerospace is evolving from manual visual inspection to AI-assisted detection.
See the Future of Industrial Inspection, Powered by Advanced AI Technology.
ApexScope X3 builds a complete technical solution for aircraft engine borescope inspection and airframe structure inspection by integrating high-definition imaging, 3D measurement, AI recognition, and edge-side deployment.
The collaboration between DeepReason IND and DeepData enables AI inspection to move beyond demonstration and become a practical productivity tool for engineers’ daily inspection and management work.
Beijing AIXUNFEI Technology Co., Ltd. will continue to promote the deep application and systematic deployment of borescope inspection technology across aerospace scenarios.
Think Deep. See Different.
