July 31, 2025Matrix Jurnal Manajemen Teknologi dan InformatikaOpen Access

Humanoid object detection moving in open space using YOLOv8

View Full Paper

Ask AI

Bookmark

Authors

MYMuhammad Kahfi YansahUniversitas Muhammadiyah Sidoarjo RDRohman DijayaUniversitas Muhammadiyah Sidoarjo HSHamzah SetiawanUniversitas Muhammadiyah Sidoarjo

Discussion

Member takes

Implication

This research demonstrates YOLOv8’s effectiveness in detecting humanoid objects in school areas, suggesting its potential for real-time surveillance systems.

Key Points

The YOLOv8 algorithm accurately detects humanoid objects, achieving a mean Average Precision of 0.93.
Precision and recall metrics of 0.86 and 0.92, respectively, highlight its effectiveness in identifying uniforms.
Data acquisition involved CCTV footage, with 314 images and 1,649 labeled bounding boxes for training.
The results underline the potential of YOLOv8 for reliable surveillance systems in educational settings.

Cite This Study

Yansah et al. (2025) studied this question.

synapsesocial.com/papers/68af296ecf1dd9ea359e2bdd https://doi.org/10.31940/matrix.v15i2.60-71

View Full Paper

Ask AI

Bookmark

Implication

This research demonstrates YOLOv8’s effectiveness in detecting humanoid objects in school areas, suggesting its potential for real-time surveillance systems.

Humanoid object detection moving in open space using YOLOv8

Discussion

Member takes

Implication

Key Points

Cite This Study

Humanoid object detection moving in open space using YOLOv8

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider