Vizan, Muhammad Adzriel Arif (2025) Development Of An AI Based Vehicle Parking System Using Image Processing and IoT Technology. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
This study developed a mobile application with a web-based platform for urban parking man- agement, integrating rule-based image processing and IoT technologies to enhance efficiency and user experience. Using ESP32-CAM for vehicle detection, Firebase for real-time data syn- chronization, and Flutter for the mobile interface, the system achieved 92% detection accuracy, a 1.8-second response time, and 88% user satisfaction based on a survey of 21 respondents. QR code scanning ensured 100% success across 50 test cases, facilitating seamless interaction. Scalable to 200 parking spaces, the system supports smart city goals by reducing congestion and emissions. Limitations include 88% accuracy in low-light conditions and network depen- dency, with future enhancements planned for offline functionality and payment integration.
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | Manajemen Parkir Perkotaan, Pengolahan Citra, IoT, ESP32-CAM, Firebase, Flutter, Kota Cerdas | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi 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: | Muhammad Adzriel Arif Vizan | ||||||
| Date Deposited: | 12 Sep 2025 08:57 | ||||||
| Last Modified: | 12 Sep 2025 09:07 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/46932 |
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