Identification of part number (PN) and serial number (SN) represent a significant loss of time during the production and the maintenance (MRO) processes of complex mechanical systems. For instance, production or maintenance of an aircraft engine requires to complete extensive inventories of SNs that are time consuming and generate numerous mistakes. Its re-assembly requires to access its documentation through PNs that are fastidious to retrieve.
Using image processing and deep learning technologies, this project develops solutions supporting MRO and production operators of mechanical systems with regular smartphone and tablets.
This project can solve many problems such as: HR intensive, frequent mistakes, time consuming and complicated operation.
The advantages of this project as following:
Capture of the number with a tablet or a USB endoscope
The service offers its recognized outcome to the technician that modifies and validates it
The review is sent to on a CSV format by email
One technician required
Semi-automated data pre-entry
Easy double check
This SN only requires very standard and affordable hardware, a recent smartphone / tablet and a regular USB endoscope. Using this set up, this SN enables one technician to perform all the process of the entry/exit by himself in an optimized way. The technician is more efficient, and the risk of mistakes is reduced.
This project is looking for strategic partners and investment support.
If you want to cooperate further with the project, please contact email@example.com.