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SmartCampus Vision: Real-time Helmet Violation Tracking

YOLOv8ByteTrackKafkaPostgreSQLGrafana

About this Project

My thesis project: a real-time pipeline that detects and tracks motorcycle helmet violations with YOLOv8 and ByteTrack, then feeds a PostgreSQL star schema and a live Grafana dashboard for campus traffic analytics.

Details

End-to-end ML workflow: dataset annotation, augmentation, training and evaluation (91.4% mAP@50).

Streaming stack: Kafka ingests detections, a PostgreSQL star-schema data mart stores them, and Grafana shows the results in real time.

Thesis at Institut Teknologi Sumatera (ITERA), defended June 2026.

Technologies Used

Y
YOLOv8
B
ByteTrack
K
Kafka
P
PostgreSQL
G
Grafana

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© 2026 Eggi Satria. All rights reserved.