diff --git a/main_retina_batch.py b/main_retina_batch.py
index dc5a3e2..1708193 100644
--- a/main_retina_batch.py
+++ b/main_retina_batch.py
@@ -51,8 +51,6 @@
 
 app = FaceRecogAPI(share_param.system, folders_path, db_folder_path)
 
-share_param.bRunning = True
-
 device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
 print('Running on device: {}'.format(device))
 
@@ -371,7 +369,7 @@ def pushserver_thread_fun():
     share_param.cam_infos, share_param.face_infos = initiation()
     share_param.batch_size = len(share_param.cam_infos)
     share_param.stream_queue = queue.Queue(maxsize=15*share_param.batch_size)
-    object_queue = queue.Queue(maxsize=15*share_param.batch_size)
+    share_param.object_queue = queue.Queue(maxsize=15*share_param.batch_size)
     stream_threads = []
     for deviceID, camURL in share_param.cam_infos.items():
         stream_threads.append(threading.Thread(
@@ -381,7 +379,8 @@ def pushserver_thread_fun():
     pushserver_thread = threading.Thread(target=pushserver_thread_fun, daemon=True, args=())
     fileserver = socketserver.TCPServer((share_param.devconfig["FILESERVER"]["host"], share_param.devconfig["FILESERVER"]["port"]), http.server.SimpleHTTPRequestHandler)
     file_thread = threading.Thread(target=fileserver.serve_forever, daemon=True, args=())
-
+    
+    share_param.bRunning = True
     file_thread.start()
     for stream_thread in stream_threads:
         stream_thread.start()
diff --git a/share_param.py b/share_param.py
index 8a3312d..9a9e81a 100755
--- a/share_param.py
+++ b/share_param.py
@@ -14,7 +14,7 @@
 cam_infos = {}
 face_infos = {}
 
-bRunning = True
+bRunning = False
 
 batch_size = 1
 stream_queue = queue.Queue(maxsize=15*batch_size)