diff --git a/plugins/tensorflow/package-lock.json b/plugins/tensorflow/package-lock.json
index 9bed01db19..0f53ab1f7c 100644
--- a/plugins/tensorflow/package-lock.json
+++ b/plugins/tensorflow/package-lock.json
@@ -1,12 +1,12 @@
 {
    "name": "@scrypted/tensorflow-lite",
-   "version": "0.1.4",
+   "version": "0.1.5",
    "lockfileVersion": 2,
    "requires": true,
    "packages": {
       "": {
          "name": "@scrypted/tensorflow-lite",
-         "version": "0.1.4",
+         "version": "0.1.5",
          "devDependencies": {
             "@scrypted/sdk": "file:../../sdk"
          }
diff --git a/plugins/tensorflow/package.json b/plugins/tensorflow/package.json
index 29d22ae34a..381af55c51 100644
--- a/plugins/tensorflow/package.json
+++ b/plugins/tensorflow/package.json
@@ -41,5 +41,5 @@
    "devDependencies": {
       "@scrypted/sdk": "file:../../sdk"
    },
-   "version": "0.1.4"
+   "version": "0.1.5"
 }
diff --git a/plugins/tensorflow/src/requirements.txt b/plugins/tensorflow/src/requirements.txt
index a7b2bd3bfb..4dce018270 100644
--- a/plugins/tensorflow/src/requirements.txt
+++ b/plugins/tensorflow/src/requirements.txt
@@ -3,7 +3,10 @@ Pillow>=5.4.1
 tensorflow-macos; sys_platform == 'darwin'
 tensorflow; sys_platform != 'darwin'
 PyGObject>=3.30.4; sys_platform != 'win32'
+# not available on armhf
 av>=10.0.0; sys_platform != 'linux' or platform_machine == 'x86_64' or platform_machine == 'aarch64'
+# not available on armhf
+opencv-python; sys_platform != 'linux' or platform_machine == 'x86_64' or platform_machine == 'aarch64'
 
 # sort_oh
 scipy
diff --git a/plugins/tensorflow/src/tf/__init__.py b/plugins/tensorflow/src/tf/__init__.py
index 0ae9ef1650..0534d966db 100644
--- a/plugins/tensorflow/src/tf/__init__.py
+++ b/plugins/tensorflow/src/tf/__init__.py
@@ -47,7 +47,7 @@ def get_input_details(self) -> Tuple[int, int, int]:
     def get_input_size(self) -> Tuple[float, float]:
         return (self.inputwidth, self.inputheight)
 
-    def detect_once(self, input: Image.Image, settings: Any, src_size, cvss):
+    async def detect_once(self, input: Image.Image, settings: Any, src_size, cvss):
         image_array  = tf.keras.utils.img_to_array(input)
         
         input_tensor = tf.convert_to_tensor(image_array, dtype = tf.uint8)