diff --git a/src/video_check_biz.py b/src/video_check_biz.py
index 3dd43f0..0a4007f 100644
--- a/src/video_check_biz.py
+++ b/src/video_check_biz.py
@@ -256,7 +256,7 @@ class VideoCheckBiz(BaseFaceBiz):
         return None
     
     def batch_process_videos_with_blacklist_detection(self, video_paths: List[str], frame_skip: int = 10, 
-                                                     suffix: str = "_processed") -> List[str]:
+                                                     suffix: str = "_processed") -> List[Dict]:
         """
         批量处理视频文件，进行黑名单检测并保存结果
         
@@ -266,9 +266,17 @@ class VideoCheckBiz(BaseFaceBiz):
             suffix: 输出文件后缀
             
         返回:
-            处理后的视频路径列表
+            处理结果列表，每个元素包含:
+            {
+                'original_path': 原视频路径,
+                'processed_path': 处理后的视频路径,
+                'has_blacklist_match': 是否检测到黑名单中人脸,
+                'detection_count': 黑名单匹配次数,
+                'total_frames_processed': 处理的总帧数,
+                'blacklist_matches': 黑名单匹配详情列表
+            }
         """
-        processed_paths = []
+        results = []
         
         # 确保使用黑名单模式
         self.set_list_mode("blacklist")
@@ -281,21 +289,47 @@ class VideoCheckBiz(BaseFaceBiz):
             
             if not os.path.exists(video_path):
                 print(f"❌ 视频文件不存在: {video_path}")
+                results.append({
+                    'original_path': video_path,
+                    'processed_path': None,
+                    'has_blacklist_match': False,
+                    'detection_count': 0,
+                    'total_frames_processed': 0,
+                    'blacklist_matches': [],
+                    'error': '文件不存在'
+                })
                 continue
             
             # 处理单个视频
-            output_path = self._process_single_video_with_detection(video_path, frame_skip, suffix)
+            result = self._process_single_video_with_detection(video_path, frame_skip, suffix)
             
-            if output_path:
-                processed_paths.append(output_path)
-                print(f"✅ 视频处理完成: {os.path.basename(output_path)}")
+            if result and result['processed_path']:
+                results.append(result)
+                status = "✅ 检测到黑名单" if result['has_blacklist_match'] else "⚠️ 未检测到黑名单"
+                print(f"{status}: {os.path.basename(result['processed_path'])} (匹配次数: {result['detection_count']})")
             else:
+                error_result = {
+                    'original_path': video_path,
+                    'processed_path': None,
+                    'has_blacklist_match': False,
+                    'detection_count': 0,
+                    'total_frames_processed': 0,
+                    'blacklist_matches': [],
+                    'error': '处理失败'
+                }
+                results.append(error_result)
                 print(f"❌ 视频处理失败: {os.path.basename(video_path)}")
         
-        print(f"\n🎉 批量处理完成: 成功{len(processed_paths)}/{len(video_paths)}个视频")
-        return processed_paths
+        # 统计结果
+        success_count = sum(1 for r in results if r.get('processed_path'))
+        blacklist_count = sum(1 for r in results if r.get('has_blacklist_match'))
+        
+        print(f"\n🎉 批量处理完成: 成功{success_count}/{len(video_paths)}个视频")
+        print(f"🔍 黑名单检测结果: {blacklist_count}个视频检测到黑名单中人脸")
+        
+        return results
     
-    def _process_single_video_with_detection(self, video_path: str, frame_skip: int, suffix: str) -> Optional[str]:
+    def _process_single_video_with_detection(self, video_path: str, frame_skip: int, suffix: str) -> Optional[Dict]:
         """
         处理单个视频，进行黑名单检测并保存结果
         
@@ -305,7 +339,15 @@ class VideoCheckBiz(BaseFaceBiz):
             suffix: 输出文件后缀
             
         返回:
-            处理后的视频路径
+            处理结果字典，包含:
+            {
+                'original_path': 原视频路径,
+                'processed_path': 处理后的视频路径,
+                'has_blacklist_match': 是否检测到黑名单中人脸,
+                'detection_count': 黑名单匹配次数,
+                'total_frames_processed': 处理的总帧数,
+                'blacklist_matches': 黑名单匹配详情列表
+            }
         """
         # 打开输入视频
         cap = cv2.VideoCapture(video_path)
@@ -394,7 +436,20 @@ class VideoCheckBiz(BaseFaceBiz):
         
         print(f"📊 处理统计: 处理{processed_frames}帧, 检测到{detection_count}次黑名单匹配")
         
-        return output_path
+        # 返回详细结果
+        return {
+            'original_path': video_path,
+            'processed_path': output_path,
+            'has_blacklist_match': detection_count > 0,
+            'detection_count': detection_count,
+            'total_frames_processed': processed_frames,
+            'blacklist_matches': [{
+                'frame_index': frame_index,
+                'best_match': result['best_match'],
+                'similarity': result['similarity'],
+                'bbox': result['bbox']
+            } for result in results if result['is_match']]
+        }
     
     def process_video_with_custom_detection(self, video_path: str, frame_skip: int = 10, 
                                            suffix: str = "_detected",