Aircraft Inspection using Drone

Aircraft inspection is one of a very important and challenging task throughout the world. Mostly aircraft inspection is a manual and time consuming activity. In this project of Aircraft Inspection using Drone (Flying Machine) we proposed drone based aircraft inspection, which is easy to screen

2025-06-28 16:30:11 - Adil Khan

Project Title

Aircraft Inspection using Drone

Project Area of Specialization Artificial IntelligenceProject Summary

Aircraft inspection is one of a very important and challenging task throughout the world. Mostly aircraft inspection is a manual and time consuming activity. In this project of Aircraft Inspection using Drone (Flying Machine) we proposed drone based aircraft inspection, which is easy to screen the aircraft outer body in a more proper manner. This system is automated, effective, and time efficient method. For that we used drone to inspect the aircraft after every flight, and in the duration of aircraft arrival and departure. This system application first connect with the inspector of aircraft with a pre-defined username and password for the security purposes and then will initiate the drone to fly and captures the images of aircraft complete and then the images are directly stored in system database. This application compared the captured images of aircraft with the standard images of aircraft and reported in case of any crack in the aircraft body. System generated reports, maintain the database and send this report of inspected aircraft to the aircraft technical team for necessary actions.

Project Objectives Project Implementation Method

METHODOLOGY:

The Aircraft Inspection using Flying Machine is divided into two phase hardware and software. The initial phase is hardware based, which is supporting to software by delivering the images. Once the original images of all the aircrafts inserted in the system database of AIuFM, it can perform inspection. The drone is used to capture the images of aircraft. The images send to file server for inspection. Now the software phase starts, the inspector first select the aircraft details for which the inspection is performed then inspect the images. We are using Matlab for image processing function. Once the Images are compared then it shows the report with tiny boxes over the damages.

Analysis

            Aircraft Inspection using Flying machine (AIuFM) helps to inspect the aircraft automatically instead manual inspection. It is based on capturing the aircraft images and identify the damage, broken areas of aircraft which can create a risk factor for the flight of that particular aircraft. AIuFM is divided into two approaches in software area.

Similarly in hardware area:

Both will be used together to get the inspection done perfectly.

Image Processing

The main purpose of this application is to identify the damages and cracks in the body of aircraft. For this purpose image processing techniques are used to find the cracks and damage areas.

Aircraft Inspection using Drone _1582920262.png Database

This application contained a big amount of data from user information to aircraft images which is very valuable, important and confidential. In developed application at each level application domain is specified by login and password. An inspector having his/her domain to control drone and send images to the application database. Based on certain criteria cracks in images were analyzed and report generated and forwarded to the authorities for further inspection and maintenance.

Overall Processes

Aircraft Inspection using Drone _1582920263.png

Application Login Screen Shot

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Error Detection from Captured Image

Aircraft Inspection using Drone _1582920265.png

Benefits of the Project

Aircraft Inspection using Drone (Flying Machine) is a product which inspects the aircraft and is a solution to automate the current process to achieve more accuracy, efficiency, and can reduce the cost and processing time as compared to manual inspection of aircraft inspection.

By our model of AIuFM, we can inspect aircraft though drone and can cover the upper body of aircraft which is difficult to inspect manually and human life risk will remove. Our software area detect the damages of aircraft efficiently as compared to human naked eye and maintain the database which store the damage detected images, user information, data and aircraft related information. A report is generated after each inspection through system.

Technical Details of Final Deliverable

An automated aircraft inspection system, which can detect damages and cracks from the surface of aircraft using drone, then using image processing techniques defect detected and reported to authorities for necessary actions.  

Images Input from Drone

Aircraft Inspection using Drone _1582920266.png

Comparing the images with the actual Database system

Aircraft Inspection using Drone _1582920267.png

Generating Report and Graph

Aircraft Inspection using Drone _1582920268.png

Displaying the view to the concerned Staff

Aircraft Inspection using Drone _1582920269.png

Final Deliverable of the Project HW/SW integrated systemType of Industry IT Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 80000
DRONE: DJI Phantom 4 Pro Equipment17000070000
USB3 2TB Device Miscellaneous 11000010000

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