Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle
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...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2022-10-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4279 |
| _version_ | 1797329812164968448 |
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| author | Florentinus Budi Setiawan Farrel Adriantama Leonardus Heru Pratomo Slamet Riyadi |
| author_facet | Florentinus Budi Setiawan Farrel Adriantama Leonardus Heru Pratomo Slamet Riyadi |
| author_sort | Florentinus Budi Setiawan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T07:10:51Z |
| format | Article |
| id | doaj.art-a9fae6a7f7e2436682c05ef901330d12 |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T07:10:51Z |
| publishDate | 2022-10-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-a9fae6a7f7e2436682c05ef901330d122024-02-03T02:50:44ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602022-10-016572873410.29207/resti.v6i5.42794279Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided VehicleFlorentinus Budi Setiawan0Farrel Adriantama1Leonardus Heru Pratomo2Slamet Riyadi3Soegijapranata Catholic UniversityUniversitas Katolik Soegijapranata SemarangSoegijapranata Catholic UniversitySoegijapranata Catholic Universitythis 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.http://jurnal.iaii.or.id/index.php/RESTI/article/view/4279ocragvimage processingcomputer visionai |
| spellingShingle | Florentinus Budi Setiawan Farrel Adriantama Leonardus Heru Pratomo Slamet Riyadi Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ocr agv image processing computer vision ai |
| title | Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle |
| title_full | Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle |
| title_fullStr | Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle |
| title_full_unstemmed | Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle |
| title_short | Improving AI Text Recognition Accuracy with Enhanced OCR For Automated Guided Vehicle |
| title_sort | improving ai text recognition accuracy with enhanced ocr for automated guided vehicle |
| topic | ocr agv image processing computer vision ai |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4279 |
| work_keys_str_mv | AT florentinusbudisetiawan improvingaitextrecognitionaccuracywithenhancedocrforautomatedguidedvehicle AT farreladriantama improvingaitextrecognitionaccuracywithenhancedocrforautomatedguidedvehicle AT leonardusherupratomo improvingaitextrecognitionaccuracywithenhancedocrforautomatedguidedvehicle AT slametriyadi improvingaitextrecognitionaccuracywithenhancedocrforautomatedguidedvehicle |