SG
SiteGuard
Helmet compliance desk
Overview
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Idle
SiteGuard
Tuning
Zone
Tuning
Confidence, frame skip, helmet colors, and device
Edit red line
Zone
Counting Line (normalized)
{"x1":0.50,"y1":0.60,"x2":0.70,"y2":0.62}
พิกัดเส้น 0–1 ของความกว้าง/สูงภาพ — วาดใหม่ได้ที่เมนู Line
Enable Red Counting Line
เปิดใช้งาน
นับเฉพาะคนที่อยู่ใกล้ / ข้ามเส้นแดง (ไม่นับทั้งเฟรม)
Line Band Ratio
ความหนาโซนรอบเส้น (สัดส่วนต่อด้านยาวของภาพ)
Detection
Color Pixel Ratio
Min ratio of helmet-colored pixels in head region
Head Region Ratio
Top portion of person box used for helmet color check
Helmet Confidence
Minimum confidence / color score for helmet classification
Helmet Detection Mode
hybrid (แนะนำ)
color (HSV เร็ว)
yolo_world
color (เร็ว) | hybrid (แม่นขึ้น) | yolo_world — เริ่มที่ color แล้วค่อยปรับ
Helmet HSV Colors
[{"name":"yellow","h":[15,40],"s":[70,255],"v":[70,255]},{"name":"orange","h":[5,20],"s":[80,255],"v":[80,255]},{"name":"white","h":[0,180],"s":[0,60],"v":[160,255]},{"name":"red","h":[0,10],"s":[80,255],"v":[70,255]},{"name":"red2","h":[160,180],"s":[80,255],"v":[70,255]},{"name":"blue","h":[90,130],"s":[60,255],"v":[60,255]},{"name":"green","h":[40,85],"s":[60,255],"v":[60,255]}]
JSON HSV ranges for hard-hat colors (tunable)
IoU Threshold
NMS IoU threshold for overlapping boxes
Min Person Area (px)
Ignore tiny detections below this area
Person Confidence
Minimum confidence for person detection (0.1–0.9)
YOLO Model
Person model filename under models/ or Ultralytics name
Performance
Frame Skip
Analyze every Nth frame (higher = faster, less precise)
Inference Device
cpu
cuda
cpu or cuda (if GPU available)
Features
Enable Gender Analysis
เปิดใช้งาน
Estimate gender from face crop (OpenCV DNN, free)
Enable Tracking
เปิดใช้งาน
Use YOLO tracking to reduce double-counting
Analytics
Timeline Bucket (sec)
Seconds per chart time bucket
Output
Save Annotated Video
เปิดใช้งาน
Export output video with bounding boxes
Save Tuning
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