diff --git a/machine_control_utils/utils.py b/machine_control_utils/utils.py
index 8244273..21af858 100644
--- a/machine_control_utils/utils.py
+++ b/machine_control_utils/utils.py
@@ -114,8 +114,12 @@ def get_intersection(box_a, box_b, threshold=0.25):
     lb, tb, rb, bb = box_b
     l, t, r, b = max(la, lb), max(ta, tb), min(ra, rb), min(ba, bb)
 
+    human_area = (ra - la + 1) * (ba - ta + 1)
     box_area = (rb - lb + 1) * (bb - tb + 1)
-    intersection_area = (r - l + 1) * (b - t + 1)
+    intersection_area = max(0, (r - l + 1)) * max(0, (b - t + 1))
 
-    intersection_box = intersection_area / box_area
+    if box_area > human_area:
+        intersection_box = intersection_area / human_area
+    else:
+        intersection_box = intersection_area / box_area
     return intersection_box > threshold
diff --git a/main.py b/main.py
index a51b3d4..3463770 100644
--- a/main.py
+++ b/main.py
@@ -3,7 +3,7 @@
 import warnings
 from dotenv import load_dotenv
 
-load_dotenv()
+load_dotenv('config/.env')
 
 warnings.filterwarnings("ignore")
 
diff --git a/run.py b/run.py
index 781dfcb..1e70e98 100644
--- a/run.py
+++ b/run.py
@@ -44,7 +44,8 @@ def run_machine_control(model: YoloDetector, img, areas_data: List[Area]):
                 elif len(areas_data[i]) == 3:
                     if datetime.now() - areas_data[i].date[0] > timedelta(minutes=30):
                         areas_data[i].refresh()
-                    areas_data[i].update(img)
+                    else:
+                        areas_data[i].update(img)
 
         if not in_area:
             if len(areas_data[i]) == 1: