Single Board Computer Based Driver's Mobile Phone and Vehicle Speed Detection System with Real Time Processing
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Published:
Oct 31, 2026
Keywords:
YOLO, Jetson Nano, OBD-II, Mobile Phone Detection, Vehicle Speed
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Abstract
A toll road is a type of public road that is part of the national road network in Indonesia, where users are required to pay a toll fee to access it. Toll roads are specifically designed for vehicles traveling at high speeds, so drivers are expected to always be alert and comply with the speed limits set by the toll road authorities. This research aims to design and build a mobile phone and vehicle speed detection system capable of monitoring the condition of the driver and vehicle. This system uses an NVIDIA Jetson Nano as the main processor connected to OBD-II and a Raspberry Pi Camera Module 2. This system design aims to reduce the number of accidents on toll roads by utilizing image processing using YOLO (You Only Look Once) to detect an object and pose for the driver.
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How to Cite
[1]
A. Shathya and D. Yendri, “Single Board Computer Based Driver’s Mobile Phone and Vehicle Speed Detection System with Real Time Processing”, chipset, vol. 7, no. 02, pp. 102-108, Oct. 2026.
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[3] Kumparan, “Ketahui Batas Kecepatan di Jalan Tol Sesuai Aturan Pemerintah.” Accessed: Jan. 23, 2025. [Online]. Available: https://kumparan.com/berita-hari-ini/ketahui-batas-kecepatan-di-jalan-tol-sesuai-aturan-pemerintah-224a9bevwwZ/2
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[5] I. Zainafree, N. Syukria, S. Addina, and M. Z. Saefurrohim, “Epidemiologi Kecelakaan Lalu Lintas: Tantangan dan Solusi,” in Bookchapter Kesehatan Masyarakat Universitas Negeri Semarang, no. 1, Universitas Negeri Semarang, 2022, pp. 92–127. doi: 10.15294/km.v1i1.70.
[6] Administrator, “Angka Kematian Kecelakaan Transportasi Turun Sepanjang 2023.” Accessed: Jan. 23, 2025. [Online]. Available: https://indonesia.go.id/kategori/editorial/7879/angka-kematian
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[7] Biro Komunikasi dan Informasi Publik, “Tekan Angka Kecelakaan Lalu Lintas, Kemenhub Ajak Masyarakat Beralih ke Transportasi Umum dan Utamakan Keselamatan Berkendara.” Accessed: Jan. 23, 2025. [Online]. Available: https://dephub.go.id/post/read/%E2%80%8Btekan-angka-kecelakaan-lalu-lintas,-kemenhub-ajak-masyarakat-beralih-ke-transportasi-umum-dan-utamakan-keselamatan-berkendara
[8] S. P. Demita, D. Yendri, and R. Suwandi, "Rancang Bangun Sistem Keamanan Helm dan Berkendara Berbasis Mikrokontroler," CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking), vol. 5, no. 01, pp. 20–34, Apr. 2024, doi: 10.25077/chipset.5.01.20-34.2024.
[9] P. I. Hidayat, R. Eka Putri, and B. Rahmadya, "Rancang Bangun Sistem Pengawasan Pemakaian Alat Pelindung Diri Berbasis Single Board Computer," CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking), vol. 5, no. 01, pp. 65–75, Apr. 2024, doi: 10.25077/chipset.5.01.65-75.2024.
[10] G. Adnediel and D. Yendri, "Rancang Bangun Alat Pelatihan Parkir Mobil Berbasis Mikrokontroler," CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking), vol. 5, no. 02, pp. 116–125, Oct. 2024, doi: 10.25077/chipset.5.02.116-125.2024.
[11] Y. Zaita, K. Saddami, and Nasaruddin, "Integrating YOLOv7 with FixMatch for Enhancing Vehicle Detection Performance in Mixed Traffic Environments," Jurnal Nasional Teknik Elektro (JNTE), vol. 13, no. 3, pp. 153–160, Nov. 2024, doi: 10.25077/jnte.v13n3.1250.2024.
[12] M. Kezia and K. V. Anusuya, "IoT-based Web-Integrated OBD-II Telematics for Real-Time Vehicle Health Monitoring System," in 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India, 2023, pp. 1–6, doi: 10.1109/iTechSECOM59882.2023.10435307.
[13] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, "You Only Look Once: Unified, Real-Time Object Detection," in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 2016, pp. 779–788, doi: 10.1109/CVPR.2016.91.
[14] D. Maji, S. Nagori, M. Mathew, and D. Poddar, "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss," in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, USA, 2022, pp. 2636–2645, doi: 10.1109/CVPRW56347.2022.00297.