Evaluation
Day vs Night Analysis (Gündüz vs Gece Analizi)
Low-light conditions introduce noise, motion blur, and reduced contrast. This affects detection confidence and may fragment tracks. Our design mitigates this by emphasizing event-driven clips and temporal consistency before escalating alerts. (Düşük ışık: gürültü + bulanıklık; çözüm: zaman tutarlılığı)
Daytime (Gündüz)
- • Higher confidence in YOLOv8 detections. (Daha yüksek güven)
- • Cleaner silhouettes → stable IDs. (Daha stabil ID)
- • Fewer ambiguous objects. (Daha az belirsizlik)
Nighttime (Gece)
- • Lower contrast reduces confidence. (Kontrast düşer)
- • Tracking relies on motion cues. (Hareket ipuçları)
- • Higher false alarm risk without scoring logic. (Skor yoksa yalancı alarm artar)
Lighting impact
Confidence degradation in low-light. (Düşük ışık güven düşürür)
Dataset simulation
Thermal/low-light public sources + synthetic scenes. (Termal + sentetik)
Consistency goal
Temporal consistency before alert. (Alarmdan önce tutarlılık)
Operator workflow
Night events are flagged with extra context. (Gece olayına ekstra bağlam)