diff --git a/.DS_Store b/.DS_Store
deleted file mode 100644
index e1b69e7491f61d3dc29dce3b616c2ceb12137584..0000000000000000000000000000000000000000
Binary files a/.DS_Store and /dev/null differ
diff --git a/.gitignore b/.gitignore
index f1b67e93314eeae73030183251f3e48b25c5b54a..4804871ba7396cff3fea064ab4bf1ccd761796cd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,4 +34,5 @@ build/
 .vscode/
 
 /models/
-/images/
\ No newline at end of file
+/images/
+.DS_Store
\ No newline at end of file
diff --git a/src/main/java/com/github/javpower/javavision/service/FaceService.java b/src/main/java/com/github/javpower/javavision/service/FaceService.java
index 2e23d5f5c5cd67f73f9187409dc19c3af5804912..ef10dba11cbe4b4a29388c1d391ce28f27b3ea6e 100644
--- a/src/main/java/com/github/javpower/javavision/service/FaceService.java
+++ b/src/main/java/com/github/javpower/javavision/service/FaceService.java
@@ -79,21 +79,23 @@ public class FaceService {
         if(CollectionUtil.isNotEmpty(allJson)){
             String path = getPath(file);
             List<FaceObject> faceObjects = FaceDetectUtil.faceDetect(path);
-            FaceObject faceObject = faceObjects.get(0);
-            Float[] feature = faceObject.getFeature().toArray(new Float[0]);
-            FaceParam res=null;
-            float ff=0f;
-            for (FaceParam v : allJson) {
-                Float[] feature1 = v.getFeature().toArray(new Float[0]);
-                float v1 = FaceSimilarityCalculator.calculateCosineSimilarity(feature, feature1);
-                if(v1>ff){
-                    ff=v1;
-                    res=v;
+            if (CollectionUtil.isNotEmpty(faceObjects)){
+                FaceObject faceObject = faceObjects.get(0);
+                Float[] feature = faceObject.getFeature().toArray(new Float[0]);
+                FaceParam res=null;
+                float ff=0f;
+                for (FaceParam v : allJson) {
+                    Float[] feature1 = v.getFeature().toArray(new Float[0]);
+                    float v1 = FaceSimilarityCalculator.calculateCosineSimilarity(feature, feature1);
+                    if(v1>ff){
+                        ff=v1;
+                        res=v;
+                    }
+                }
+                if(ff>0.8f){
+                    personObject.setPersonName(res.getPersonName());
+                    personObject.setPersonId(res.getPersonId());
                 }
-            }
-            if(ff>0.8f){
-                personObject.setPersonName(res.getPersonName());
-                personObject.setPersonId(res.getPersonId());
             }
         }
         return personObject;