Chicken Coop Monitoring System using You Only Look Once (YOLO) Algorithm

Main Article Content

Omar Fauzi Rahman
Tati Erlina

Abstract

As chicken meat production increases in Padang City, farmers face serious threats from
predators and intruders that cause significant losses. Current solutions, such as PIR motion
detectors, have the disadvantage of not being able to recognize the objects they detect. This
study designs a chicken coop monitoring system capable of identifying objects using the You
Only Look Once (YOLO) algorithm. The system uses a Raspberry Pi 4 Model B as the
processing center, connected to two Arducam OV5647 cameras mounted on MG996R servo
motors. The system is also integrated with a Telegram application for real-time notifications.
Based on testing, the system is capable of detecting and classifying objects with an average
accuracy of 83.26% and an average notification response time of 10.8 seconds. Thus, the system
is effective in addressing security issues in chicken farms

Article Details

How to Cite
[1]
O. F. Rahman and T. Erlina, “Chicken Coop Monitoring System using You Only Look Once (YOLO) Algorithm”, chipset, vol. 7, no. 01, pp. 11-18, Apr. 2026.
Section
Articles

References

[1] E. Wahyuni dan D. Santoso, "Dampak Lingkungan dan Keberlanjutan Peternakan Ayam Ras Pedaging Pola Kemitraan," Jurnal Agrikultura, vol. 34, no. 2, pp. 237-254, 2023, doi: dx.doi.org/10.24198/agrikultura.v34i2.46783.
[2] D. T. Pangestu dan S. Azizah, "Dampak Sosial Ekonomi Peternakan Ayam Kampung Berskala Mikro Di Desa Payaman, Nganjuk," Jurnal Pendidikan Ilmu Pengetahuan Sosial (JPIPS), vol. 14, pp. 31-39, Jun 2022.
[3] "Raspberry Pi 4 Model B," Apr 2024.
[4] Arducam, "Arducam OV5647 NOIR Camera Module for Raspberry Pi," 2013.
[5] "OV5647 Raspberry pi camera 5MP Lensa Wide Angle IR Night Vision Light - 130degree."
[6] O. Alfiano dan Santi Rahayu, "Implementasi Algoritma Deep Learning YOLO (You Only Look Once) Untuk Deteksi Kualitas Kentang Segar dan Busuk Secara Real Time," JORAPI: Journal of Research and Publication Innovation, vol. 2, no. 3, pp. 2470-2478, Jul 2024.
[7] J. Redmon, S. Divvala, R. Girshick, dan A. Farhadi, "You Only Look Once: Unified, Real-Time Object Detection."
[8] G. I. E. Soen, M. Marlina, dan R. Renny, "Implementasi Cloud Computing dengan Google Colaboratory pada Aplikasi Pengolah Data Zoom Participants," JITU: Journal Informatic Technology And Communication, vol. 6, no. 1, pp. 24-30, Jun 2022.
[9] G. Jocher, "YOLOv8 vs YOLOv5: A Detailed Comparison." Diakses: 17 Juli 2025. Tersedia pada: https://docs.ultralytics.com/compare/yolov8-vs-yolov5/#conclusion-which-model-should-you-choose