Update app.py

app.py

@@ -23,7 +23,6 @@ app = FastAPI()
 # Optimized tracking of previous detections using a deque
 MAX_HISTORY = 10
 detected_people_history = deque(maxlen=MAX_HISTORY)
-DISTANCE_THRESHOLD = 30  # cm
 
 @app.post("/detect")
 async def detect_faces(file: UploadFile = File(...)):
@@ -42,6 +41,7 @@ async def detect_faces(file: UploadFile = File(...)):
     new_people_data = {}
     person_id = 1
     frame_width = resized_frame.shape[1]
+    frame_center = frame_width // 2  # Calculate the frame's center
 
     for result in results:
         for box in result.boxes.data.tolist():  # Convert tensor to list
@@ -52,12 +52,13 @@ async def detect_faces(file: UploadFile = File(...)):
                 center_x = (x1 + x2) // 2
                 face_width_pixels = x2 - x1
 
-              if object_center < frame_center - 100:
-                        position = "Left"
-                    elif object_center > frame_center + 100:
-                        position = "Right"
-                    else:
-                        position = "Center"
+                # Corrected position logic
+                if center_x < frame_center - (frame_width * 0.1):  # 10% margin for accuracy
+                    position = "Left"
+                elif center_x > frame_center + (frame_width * 0.1):
+                    position = "Right"
+                else:
+                    position = "Center"
 
                 # Calculate distance
                 estimated_distance = (