diff --git a/jsk_perception/node_scripts/aws_auto_checkin_app.py b/jsk_perception/node_scripts/aws_auto_checkin_app.py
index 2f9373f823..d282c7e6a6 100755
--- a/jsk_perception/node_scripts/aws_auto_checkin_app.py
+++ b/jsk_perception/node_scripts/aws_auto_checkin_app.py
@@ -152,8 +152,10 @@ def findface(self, face_image):
                 CollectionId=self.COLLECTION_ID, Image={'Bytes': encoded_face_image.tobytes()},
                 FaceMatchThreshold=self.FACE_SIMILARITY_THRESHOLD, MaxFaces=self.MAX_FACES)
             return res
+        except self.rekognition.exceptions.InvalidParameterException as e:
+            rospy.logdebug("No faces detected")
         except Exception as e:
-            print(e)
+            rospy.logerr(e)
 
         return None
 
@@ -189,14 +191,16 @@ def callback(self, image, roi):
             ret = self.findface(img[image_roi_slice])
             if ret != None:
                 if ret['FaceMatches'] != []:
-                    face_id = self.dynamodb_table.get_item(
-                        Key={'RekognitionId':
+                    try:
+                        face_id = self.dynamodb_table.get_item(
+                            Key={'RekognitionId':
                              ret['FaceMatches'][0]['Face']['FaceId']})['Item']['Name']
-                    rospy.logdebug("FaceId: {}\n Similarity: {}".format(face_id, \
-                                                                        ret['FaceMatches'][0]['Similarity']))
-                    faces.faces.append(Face(face=Rect(cx - w // 2, cy - h // 2, w, h),
-                                            label=face_id,
-                                            confidence=ret['FaceMatches'][0]['Similarity'] / 100.0))
+                        rospy.logdebug("FaceId: {}\n Similarity: {}".format(face_id, \
+                                                                            ret['FaceMatches'][0]['Similarity']))
+                        faces.faces.append(Face(face=Rect(cx - w // 2, cy - h // 2, w, h),
+                                                label=face_id,
+                                                confidence=ret['FaceMatches'][0]['Similarity'] / 100.0))
+                    except KeyError: return
 
             if self.use_window: # copy colored face rectangle to img_gray
                 img_gray[image_roi_slice] = img[image_roi_slice]