diff --git a/examples/python-operator-dataflow/dataflow.yml b/examples/python-operator-dataflow/dataflow.yml
index 92bf5f2b..27d27426 100644
--- a/examples/python-operator-dataflow/dataflow.yml
+++ b/examples/python-operator-dataflow/dataflow.yml
@@ -14,6 +14,7 @@ nodes:
         image: webcam/image
       outputs:
         - bbox
+        - logs
 
   - id: plot
     operator:
@@ -21,3 +22,4 @@ nodes:
       inputs:
         image: webcam/image
         bbox: object_detection/bbox
+        object_detection_logs: object_detection/logs
diff --git a/examples/python-operator-dataflow/plot.py b/examples/python-operator-dataflow/plot.py
index cd7a7200..923ade0e 100755
--- a/examples/python-operator-dataflow/plot.py
+++ b/examples/python-operator-dataflow/plot.py
@@ -29,6 +29,7 @@ class Operator:
         self.bboxs = []
         self.bounding_box_messages = 0
         self.image_messages = 0
+        self.object_detection_logs = []
 
     def on_event(
         self,
@@ -69,12 +70,22 @@ class Operator:
             self.image_messages += 1
             print("received " + str(self.image_messages) + " images")
 
+        elif dora_input["id"] == "object_detection_logs":
+            logs = dora_input["value"][0].as_py()
+            self.object_detection_logs += [logs]
+            ## Only keep last 10 logs
+            self.object_detection_logs = self.object_detection_logs[-10:]
+            return DoraStatus.CONTINUE
+
         elif dora_input["id"] == "bbox" and len(self.image) != 0:
             bboxs = dora_input["value"].to_numpy()
             self.bboxs = np.reshape(bboxs, (-1, 6))
 
             self.bounding_box_messages += 1
             print("received " + str(self.bounding_box_messages) + " bounding boxes")
+            return DoraStatus.CONTINUE
+        else:
+            return DoraStatus.CONTINUE
 
         for bbox in self.bboxs:
             [
@@ -104,6 +115,18 @@ class Operator:
                 1,
             )
 
+        for i, log in enumerate(self.object_detection_logs):
+            cv2.putText(
+                self.image,
+                log,
+                (10, 10 + 20 * i),
+                font,
+                0.5,
+                (0, 255, 0),
+                2,
+                1,
+            )
+
         if CI != "true":
             cv2.imshow("frame", self.image)
             if cv2.waitKey(1) & 0xFF == ord("q"):