Islami Ano, Candi Agusta (2026) Sistem Parkir Cerdas Berbasis IoT Terintegrasi Transformer Optical Character Recognition dan Real-time Notification di Android. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
This study aims to develop a smart parking system to minimize incidents of motor vehicle theft. The system is based on the Internet of Things (IoT) and integrates Transformer Optical Character Recognition (TrOCR) technology with real-time notifications via an Android app. It was developed in response to the rising number of motor vehicle thefts, particularly in school and campus areas with limited security systems. The developed parking device uses a Raspberry Pi 4, a webcam, and a servo motor to read vehicle license plates, recognize drivers, and automatically send warning notifications via Firebase Cloud Messaging (FCM). The TrOCR model is used to extract characters from license plate images with accuracy tested using real-world test data, while YOLOv11 is applied for object detection. Test results show that the system is capable of recognizing license plates with 95% accuracy and issuing real-time alerts if a vehicle exits without proper authorization. This research contributes to an efficient parking security system that can be implemented in educational environments at a more affordable cost
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | IoT, Parkir Cerdas, TrOCR, Android, Firebase, YOLO, Keamanan Kendaraan | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi |
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| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Candi Agusta Islami Ano | ||||||
| Date Deposited: | 03 Aug 2026 00:52 | ||||||
| Last Modified: | 03 Aug 2026 00:53 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/58976 |
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