Ibrahim, Akhsan and , Azizah Fatmawati, S.T., M.Cs. (2024) Sistem Penghitung Orang Menggunakan YOLOv8 Dan Flask (Studi Kasus Di Laboratorium Informatika Universitas Muhammadiyah Surakarta). Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
The number of people in a crowd is important to know because it can be used for analysis, which is very useful for further evaluation and planning. Conventional counter systems risk data inconsistency and inefficiency. Several automated counting systems have been developed but have not been able to operate in real time and flexibly and have not achieved the best performance in general. This research aims to develop a people counter system. The developed system operates by detecting people using the YOLOv8 object detection pre-trained model. Then, the detected person is tracked for movement and marked with a bounding box using the OpenCV library. When the bounding box passes through the indicator zone, the object is counted and the counting result is displayed. The system is integrated in the Flask framework so that the counting process and counting result data can be monitored through a web platform. The research was conducted in several stages. The preparation stage includes problem identification, goal setting, and literature review of similar research. Then the system development stage, including requirements analysis, design, and programming. Finally, the completion stage includes testing the performance of the counting system using experiment methods and conducting conclusions. This research successfully developed an automatic, real time, and flexible people counter system and has reliable counting performance with an average accuracy of 90.5% and an average error ratio of 9.5%.
Item Type: | Thesis (Skripsi) |
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Uncontrolled Keywords: | flask, object detection, opencv, people counter, yolov8 |
Subjects: | T Technology > TZ Technical Information > TA02 Software. Aplication > Software Engineering |
Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
Depositing User: | AKHSAN IBRAHIM |
Date Deposited: | 08 Aug 2024 02:51 |
Last Modified: | 08 Aug 2024 02:51 |
URI: | http://eprints.ums.ac.id/id/eprint/126135 |
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