JAL and Donecle Launch Japan’s First Autonomous Drone Aircraft Inspection Verification Project
Japan Airlines Co., Ltd. (JAL) has launched a new aircraft maintenance initiative with French drone manufacturer Donecle aimed at transforming the way aircraft exterior inspections are conducted. The two companies have begun a joint verification project using fully autonomous drones for aircraft exterior inspections at JAL’s hangars, marking what they describe as Japan’s first initiative of its kind involving drones approved for use in aircraft manufacturers’ maintenance manuals.
The project brings together JAL’s operational and aircraft maintenance expertise with Donecle’s specialized drone technology. Its primary objective is to improve the safety and efficiency of aircraft maintenance while reducing the amount of time mechanics need to spend carrying out traditional exterior visual inspections.
As aircraft become increasingly complex and maintenance organizations look for ways to improve efficiency without compromising safety, automated inspection technologies are gaining greater attention across the aviation industry. JAL’s collaboration with Donecle represents an effort to introduce advanced automation into a critical part of the aircraft maintenance process while maintaining human oversight through mechanic review of inspection data.
Moving Aircraft Inspections Toward Automation
Aircraft exterior inspections have traditionally relied heavily on manual visual checks performed by trained maintenance personnel. Mechanics must inspect large areas of an aircraft’s exterior to identify potential defects, damage or abnormalities that could require further investigation or maintenance.
The scale of modern commercial aircraft can make these inspections time-consuming. Maintenance personnel may need to examine extensive sections of the fuselage, wings and other exterior surfaces, sometimes requiring equipment that allows them to work at elevated heights.
Working around large aircraft and at height can also introduce additional occupational safety considerations. Mechanics must follow established procedures and use appropriate equipment while ensuring that inspection work is completed accurately and thoroughly.
JAL is now examining how autonomous drone technology can support this process.
Under the new project, drones will capture high-resolution images of an aircraft’s exterior. Mechanics can then review the captured images and conduct inspections based on the visual information provided by the drone.
The approach is intended to reduce the need for mechanics to physically move around the aircraft during the initial visual inspection stage. Rather than spending substantial time manually surveying every part of the exterior, maintenance personnel could use standardized imagery generated by the drone as an important inspection resource.
Japan’s First Project Using Approved Autonomous Drone Technology
A key feature of the initiative is the use of Donecle’s “Iris GVI” drones.
Donecle is a French manufacturer specializing in drones designed specifically for aircraft maintenance applications. The Iris GVI systems used in the project are designed for autonomous aircraft exterior inspections and are approved for use in aircraft manufacturers’ maintenance manuals.
This approval is an important aspect of the technology’s application in an aviation maintenance environment. Aircraft maintenance procedures are subject to stringent requirements, and technologies used as part of those processes must demonstrate appropriate reliability and operational performance.
By using a drone system recognized in aircraft manufacturers’ maintenance documentation, JAL and Donecle are working within an established maintenance framework rather than treating autonomous drone inspection simply as an experimental visual technology.
The collaboration therefore focuses on verifying how the system can be incorporated into JAL’s actual maintenance workflow.
Comparing Traditional and Drone-Based Inspections
Since the end of June 2026, JAL has been conducting comparisons between conventional visual inspections and images captured by drones.
This comparison process is intended to help the airline determine whether drone-based inspections can deliver the required level of inspection effectiveness while improving operational efficiency.
The verification involves assessing the images generated by the autonomous drones against the results of traditional manual visual inspections. Through this process, JAL can examine whether relevant exterior areas are consistently captured and whether the resulting imagery provides mechanics with sufficient information to identify potential defects.
The comparison also gives maintenance teams an opportunity to evaluate how drone inspections could fit into existing procedures.
Instead of immediately replacing conventional inspection practices, the project is focused on establishing a workflow in which autonomous drones support mechanics. High-resolution images can be captured systematically, while qualified maintenance personnel remain responsible for reviewing and assessing the information.
This combination of automation and human expertise could become an important model for future aircraft maintenance operations.
Improving Maintenance Safety
One of the major goals of the initiative is to improve safety for maintenance personnel.
Traditional exterior inspections can require mechanics to work around large aircraft and, depending on the area being inspected, at elevated heights. Reducing the amount of physical movement required during inspection activities could help limit exposure to some of these workplace risks.
Autonomous drones can access areas of an aircraft exterior without requiring a mechanic to physically reach every location during the image-capture stage.
The Iris GVI system is equipped with obstacle detection technology, allowing the drone to operate autonomously while avoiding contact with the aircraft.
This capability is particularly important because an aircraft inspection drone must operate in close proximity to a valuable and highly sensitive asset. Maintaining a controlled flight path while avoiding the aircraft surface is essential to safe drone-based inspection operations.
The autonomous system is designed to provide consistent flight performance without relying entirely on the skill or experience of an individual drone operator.
Consistency in Image Capture
Another potential advantage of autonomous inspection is consistency.
Manual inspections can vary depending on factors such as the inspector’s position, viewing angle, environmental conditions and the sequence in which different areas are examined. Experienced mechanics are essential to aircraft maintenance, but automation can help establish a more standardized image-capture process.
Donecle’s Iris GVI drones are designed to capture high-resolution images according to uniform inspection standards.
Because the drone follows an autonomous flight process, the aircraft exterior can be documented in a repeatable manner. This could help maintenance teams compare inspection results over time and establish a more consistent visual record.
Standardized image capture may also make it easier to identify changes in an aircraft’s condition during successive inspections.
The ability to build a reliable visual history could support maintenance organizations as they monitor aircraft condition throughout an aircraft’s operational life.
Advanced Image Analysis
The project also incorporates image analysis technology designed to support more precise assessment of inspection results.
According to the companies, the technology can enable precise mapping and measurement of defect areas.
This capability could provide maintenance personnel with more detailed information when abnormalities are identified. Instead of simply identifying that a potential defect exists, image analysis can help determine where the defect is located and provide measurements that can support subsequent evaluation.
Such capabilities could become increasingly valuable as aircraft maintenance organizations generate larger quantities of inspection imagery.
The combination of autonomous data collection and image analysis creates the potential for aircraft inspections to evolve from a largely manual visual process toward a more data-driven workflow.
Time Savings and Predictive Maintenance
Reducing inspection time is another important objective of the JAL and Donecle project.
Aircraft maintenance operations are highly time-sensitive because aircraft availability directly affects airline operations. Any technology capable of reducing inspection time while maintaining required safety and quality standards could contribute to greater maintenance efficiency.
JAL expects that time saved through drone-assisted inspections could potentially be redirected toward predictive maintenance activities.
Predictive maintenance uses information about equipment and aircraft condition to help identify potential maintenance requirements before they develop into more significant problems.
By reducing the time mechanics spend on routine exterior visual inspection tasks, JAL could potentially allocate more maintenance resources to activities that require specialized human expertise.
This could create a broader efficiency benefit extending beyond the initial inspection itself.
Supporting Aircraft Quality
The initiative is also designed to contribute to aircraft quality.
Consistent high-resolution imaging can provide maintenance personnel with detailed documentation of an aircraft’s exterior condition. When combined with image analysis, this information can support more accurate identification and evaluation of potential defects.
The resulting data may also help maintenance teams establish a more comprehensive understanding of aircraft condition.
For an airline operating a fleet of commercial aircraft, maintaining consistent inspection quality is essential. Aircraft undergo repeated inspections throughout their service lives, and the ability to document exterior conditions systematically can provide valuable information for maintenance planning.
The project therefore goes beyond simply introducing drones into an existing process. JAL is exploring how autonomous technology, standardized imaging and data analysis can be integrated into a broader maintenance strategy.
Human Expertise Remains Central
Although the initiative emphasizes automation, mechanics remain an important part of the proposed workflow.
The drones are intended to capture high-resolution imagery, while mechanics review and inspect the resulting images. This approach combines the strengths of automated technology with the experience and judgment of qualified aviation maintenance professionals.
Autonomous drones can perform repetitive image-capture tasks consistently, while mechanics can concentrate on interpreting inspection findings and determining whether additional maintenance action is necessary.
This division of responsibilities could allow maintenance organizations to use automation without removing human oversight from safety-critical decisions.
For JAL, establishing a practical workflow that combines autonomous inspection with mechanic expertise is therefore an important part of the verification project.
A Step Toward the Future of Aviation Maintenance
The JAL and Donecle collaboration reflects a wider movement toward automation and digitalization within aircraft maintenance.
Airlines and maintenance organizations are increasingly exploring technologies that can improve operational efficiency, increase data availability and enhance worker safety. Drones are one of several emerging technologies being considered for these applications because they can capture detailed information from areas that can be difficult or time-consuming for people to inspect directly.
The use of autonomous drones could be particularly useful for repetitive inspection tasks that require systematic coverage of large surfaces.
JAL’s project provides an opportunity to evaluate that potential under actual aircraft maintenance conditions.
By comparing drone-generated inspection imagery with conventional inspection methods, the airline can gather practical information about the technology’s effectiveness and determine how it can best be integrated into maintenance operations.
The joint verification project launched by JAL and Donecle marks an important step toward expanding the use of autonomous technology in aircraft maintenance.
The initiative is focused on three key objectives: improving maintenance safety, increasing inspection efficiency and supporting aircraft quality. Through the use of Iris GVI autonomous drones, JAL aims to reduce the amount of time mechanics need to spend conducting traditional exterior visual inspections while providing them with high-resolution imagery for detailed review.
The drone’s obstacle detection capabilities, autonomous flight operation and standardized image capture are intended to support reliable inspection processes. Meanwhile, image analysis technology can assist with mapping and measuring potential defect areas.
Since the end of June 2026, JAL has been comparing conventional inspections with drone-based imagery as it evaluates the effectiveness of the approach.
If the verification demonstrates that autonomous drones can provide the required inspection performance within JAL’s maintenance workflow, the technology could offer a foundation for broader adoption of automated aircraft exterior inspections.
The potential benefits extend beyond faster inspections. Reduced exposure to work-at-height activities could contribute to maintenance-worker safety, while standardized imagery could improve consistency. Time saved during inspections could potentially be redirected toward predictive maintenance and other activities that support aircraft quality and reliability.
The project also demonstrates how aviation maintenance may increasingly combine autonomous systems with human expertise. Rather than replacing mechanics, drone technology can handle repetitive data-collection tasks and provide maintenance professionals with detailed information for assessment.
For JAL and Donecle, the current verification project represents an important opportunity to demonstrate how advanced drone technology can be integrated into real-world airline maintenance operations. As the aviation industry continues to seek safer, more efficient and data-driven maintenance solutions, autonomous aircraft inspection technology could become an increasingly important component of the future maintenance environment.
Source link: https://press.jal.co.jp/