diff --git a/video-ai-system/engines/subtitle-pipeline/qc-tools/subtitle-safe-area-qc.py b/video-ai-system/engines/subtitle-pipeline/qc-tools/subtitle-safe-area-qc.py
index d79e74b..aae6e05 100644
--- a/video-ai-system/engines/subtitle-pipeline/qc-tools/subtitle-safe-area-qc.py
+++ b/video-ai-system/engines/subtitle-pipeline/qc-tools/subtitle-safe-area-qc.py
@@ -171,7 +171,7 @@ def detect_subtitle_box(image: np.ndarray) -> list:
     if not contours:
         return [0, int(height * 0.85), width, int(height * 0.12)]  # 默认底部区域
     
-    # 合并所有轮廓的边界框
+    # 收集所有轮廓的边界框
     all_x = []
     all_y = []
     all_w = []
@@ -184,15 +184,23 @@ def detect_subtitle_box(image: np.ndarray) -> list:
         all_w.append(w)
         all_h.append(h)
     
-    # 计算合并后的边界框
-    x = min(all_x)
-    y = min(all_y) + int(height * 0.85)  # 加上裁剪偏移
-    w = max(all_x) + max(all_w) - x
-    h = max(all_y) + max(all_h) - y
+    # 合并所有轮廓的边界框
+    # 先在 bottom_region 坐标系里算完，最后再加偏移
+    x_bottom = min(all_x)
+    y_bottom = min(all_y)
+    max_x_bottom = max([all_x[i] + all_w[i] for i in range(len(all_x))])
+    max_y_bottom = max([all_y[i] + all_h[i] for i in range(len(all_y))])
+    w = max_x_bottom - x_bottom
+    h = max_y_bottom - y_bottom
+    
+    # 最后统一加偏移
+    x = x_bottom
+    y = y_bottom + int(height * 0.85)
+    # w, h 不需要加偏移（它们是在bottom_region里的尺寸）
     
     return [x, y, w, h]
-
-
+    
+    
 def calculate_iou(box1: list, box2: list) -> float:
     """
     计算两个边界框的 IOU（交并比）