Improving AI Text Recognition Accuracy with Enhanced OCR For
Automated Guided Vehicle

Improving AI Text Recognition Accuracy with Enhanced OCR For
Automated Guided Vehicle

: OCR, AGV, AI, Image Processing, Computer Vision

AGV (Automated Guided Vehicle) with artificial intelligence (AI) is expected to change the industry's development in Indonesia,
this artificial intelligence robot uses a mini-computer to operate it and uses mechanical movement like a four-wheeled vehicle
with a 2WD drive system. In this article, a control strategy of the AGV robot will be shown and implemented to detect the
location. This research Uses OCR (Optical Character Recognition) for the OpenCV library itself which has been
enhanced/modified. This enhanced OCR is the main library used in text recognition. This research produces very accurate text
detection compared to the default OCR that was previously used on the AGV robot in our university. After the process of
reading this text is passed, it will produce text previously read through the camera which will then provide output in the form
of text where the AGV robot is located. After the reading is validated, the AGV robot will move to the next point until it returns
to its starting point. Based on hardware implementation through testing in the AGV laboratory with artificial intelligence, it
can work according to the algorithm and minimize reading errors with a 95% success rate.

Florentinus Budi Setiawan*, 2Farrel Adriantama, 3Leonardus Heru Pratomo, 4Slamet Riyadi

Universitas Katolik Soegijapranata, Indonesia

: 01-10-2022

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Indonesia

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