This AI model has been customed trained on a custom dataset and running locally on a mobile phone.
Custom trained Vision AI model detecting 3 types of compressor
baldes from a CFM engine with a
confidence of 80%-92% ⭐⭐⭐⭐⭐
For preserving privacy, no cloud compute has been used in this instance, however bigger more accurate models can run on a private cloud
Detection of a missing bolt on Landing gear assembly, is it possible?
Yes!, Confidence of 92%-95% ⭐⭐⭐⭐⭐
Landing gear inspection of a Avro Vulcan B2 airplane.
This AI model has been customed trained on a custom dataset and
running locally on an edge device (mobile phone).
Aircraft skin inspection with a mobile phone ?
Yes!
Helicopter inspection using AI model for rivet detection. Custom build AI model for inspection of rivets on aircraft skin, automatically counts, tracks and assigns an ID for each rivet and builds report.
The AI Return on Investment tool was developed to help you quantify and present the business case for implementing AI models, such as those used in AiVisualMRO. It provides a quick assessment to support organisations evaluating the adoption of AI solutions. 04-May-2026
Within the industry, missing bolts or incorrectly fitted bolts can lead to serious damage, even if the likelihood of such errors is low. That's why, after each assembly operation, it's good practice to have an AI system double-check the work and record for future analytics. 04-May-2026
AI detects the tiny small airflow holes, counts, tracks and IDs, and then calculates (estimates) the total mass airflow of this GE Combustor head. If any of the areas are showned as blocked or one area of the combustor has lower mass airflow then technical staff is alerted. In this way, the inspectors can see /predict regions of lower mass-airflow which equals hotter more phrone to wear regions of the combustor. Contact us for more details. 06-April-2026
Detection of dents, nicks and scratches in aerospace components with AiVisualMRO is a cutting-edge approach.
In this example along side detection of nicks , dents, scratches, it also checks for any missing or wrong size bolts,
The AI is complimenting
the visual inspection, and accurate identification of damage on critical aerospace parts.
02-May-2026
Visual AI MRO is an advanced AI solution designed for visual inspection and maintenance, monitor repair, and other operations. AI models Taylored to your needs, automatically detect defects like scratches, dents, corrosion, and more with 87%-99% accuracy.
Our AI models analyze images from any camera, or boroscope to automatically identify and classify defects. The system is trained on your specific images, ensuring maximum accuracy for your use case.
Visual AI MRO delivers impressive results: 58% overall cost saving on visual inspection, 80% time saving on report generation, and 87% accuracy in automatic defect detection.
Yes! these AI models can be trained on your own images and run locally on your infrastructure for maximum privacy and security. Your data never leaves your system, unless you want it to. This is perfect for Aerospace and defence sector where most of the data analysis and AI models need to run privately