diff --git a/frigate/data_processing/common/face/model.py b/frigate/data_processing/common/face/model.py
index dc363a11c3..026b2f4e36 100644
--- a/frigate/data_processing/common/face/model.py
+++ b/frigate/data_processing/common/face/model.py
@@ -197,7 +197,7 @@ class FaceNetRecognizer(FaceRecognizer):
         self.face_embedder: FaceNetEmbedding = FaceNetEmbedding()
 
     def clear(self) -> None:
-        self.mean_embs = None
+        self.mean_embs = {}
 
     def build(self):
         if not self.landmark_detector:
diff --git a/frigate/data_processing/real_time/face.py b/frigate/data_processing/real_time/face.py
index c9f31a76df..348309f22a 100644
--- a/frigate/data_processing/real_time/face.py
+++ b/frigate/data_processing/real_time/face.py
@@ -36,8 +36,8 @@ MAX_DETECTION_HEIGHT = 1080
 MIN_MATCHING_FACES = 2
 
 
-def weighted_average_by_area(results_list):
-    if not results_list:
+def weighted_average_by_area(results_list: list[tuple[str, float, int]]):
+    if len(results_list) < 3:
         return "unknown", 0.0
 
     score_count = {}