diff --git a/image/image_analyzer.py b/image/image_analyzer.py
index fa5a71e..62d50aa 100755
--- a/image/image_analyzer.py
+++ b/image/image_analyzer.py
@@ -244,6 +244,10 @@ class ImageAnalyzer:
         "表格", "检索表", "配伍表", "药物配伍", "课程表", "流程表", "说明表", "数据表",
         "word wall", "poster wall", "bulletin board",
     )
+    MANY_FACES_SUBJECT_KEYWORDS = (
+        "多人", "多人脸", "人群", "群像", "合照", "集体照", "全家福", "毕业照", "婚礼合影", "大合照",
+        "crowd", "group photo", "many faces",
+    )
 
     async def analyze(self, image_path: str) -> dict:
         """
@@ -624,14 +628,24 @@ class ImageAnalyzer:
                 price_suggest = 80
             reason += " | 大量文字分层"
 
-        # 硬规则：密集文字类图片不接单（知识宣传栏/公告栏等）
-        if text_amount in ["大量 (51-200 字)", "极多 (200 字以上)"] or dense_text_scene:
+        # 硬规则1：文字很多（>100）且密密麻麻不接单
+        text_gt_100 = text_amount in ["大量 (51-200 字)", "极多 (200 字以上)"]
+        if text_gt_100 or dense_text_scene:
             feasibility = "no"
             risk = "high"
             note = "文字内容过于密集（如宣传栏/公告栏），暂不接单处理"
             reason = (reason or "文字密集") + " | 密集文字场景不接单"
             price_suggest = 0
 
+        # 硬规则2：多人脸不接；1-2 人脸可做
+        many_faces_scene = any(k in (subject_raw + " " + reason_raw + " " + note_raw).lower() for k in self.MANY_FACES_SUBJECT_KEYWORDS)
+        if has_face == "yes" and many_faces_scene:
+            feasibility = "no"
+            risk = "high"
+            note = "多人脸/群像场景处理风险高，暂不接单"
+            reason = (reason or "多人脸") + " | 多人脸场景不接单"
+            price_suggest = 0
+
         # 确保是 5 的倍数
         price_suggest = round(price_suggest / 5) * 5