Automated Aircraft Identification by Machine Vision
Mekonnen, Israel (2017)
Mekonnen, Israel
Metropolia Ammattikorkeakoulu
2017
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201704094490
https://urn.fi/URN:NBN:fi:amk-201704094490
Tiivistelmä
The main goal of this study was to develop an OCR solution for an automated identification of aircrafts at Helsinki-Malmi airport with the application of machine vision.
Cognex In-sight vision system was chosen as a platform for the system development. In-sight explorer was used in emulator mode in the absence of the vision camera. Patmax, OCRmax and Math tools were the key vision tools used. Images of aircrafts, taken at Helsinki-Malmi airport, were collected from different websites and used to train and test the vision tools.
The developed job was tested on 85 aircraft pictures, resulting in 84.7 % accurate reading. The result obtained is promising to continue working on Cognex platform, to develop a fully functional system that can read the aircraft register identifiers with 100% accuracy.
Cognex In-sight vision system was chosen as a platform for the system development. In-sight explorer was used in emulator mode in the absence of the vision camera. Patmax, OCRmax and Math tools were the key vision tools used. Images of aircrafts, taken at Helsinki-Malmi airport, were collected from different websites and used to train and test the vision tools.
The developed job was tested on 85 aircraft pictures, resulting in 84.7 % accurate reading. The result obtained is promising to continue working on Cognex platform, to develop a fully functional system that can read the aircraft register identifiers with 100% accuracy.