diff --git a/src/labthings_picamera2/thing.py b/src/labthings_picamera2/thing.py
index 965ea07..3bbf347 100644
--- a/src/labthings_picamera2/thing.py
+++ b/src/labthings_picamera2/thing.py
@@ -8,7 +8,6 @@
 import tempfile
 import time
 from tempfile import TemporaryDirectory
-import uuid
 
 from pydantic import BaseModel, BeforeValidator, RootModel
 
@@ -529,7 +528,7 @@ def snap_image(self) -> ArrayModel:
     def capture_array(
         self,
         stream_name: Literal["main", "lores", "raw"] = "main",
-        wait: Optional[float] = None,
+        wait: Optional[float] = 0.9,
     ) -> ArrayModel:
         """Acquire one image from the camera and return as an array
 
@@ -538,7 +537,9 @@ def capture_array(
         binary image formats will be added in due course.
 
         stream_name: (Optional) The PiCamera2 stream to use, should be one of ["main", "lores", "raw"]. Default = "main"
-        wait: (Optional, float) Set a timeout in seconds. A TimeoutError is raised if this time is exceeded during capture. Default = None
+        wait: (Optional, float) Set a timeout in seconds.
+        A TimeoutError is raised if this time is exceeded during capture.
+        Default = 0.9s, lower than the 1s timeout default in picamera yaml settings
         """
         with self.picamera() as cam:
             return cam.capture_array(stream_name, wait = wait)
@@ -549,19 +550,24 @@ def capture_raw(
         states_getter: GetThingStates,
         get_states: bool=True,
         get_processing_inputs: bool=True,
+        wait: Optional[float] = 0.9,
     ) -> RawImageModel:
         """Capture a raw image
         
         This function is intended to be as fast as possible, and will return
         as soon as an image has been captured. The output format is not intended
         to be useful, except as input to `raw_to_png`. 
-        
+
+        wait: (Optional, float) Set a timeout in seconds.
+        A TimeoutError is raised if this time is exceeded during capture.
+        Default = 0.9s, lower than the 1s timeout default in picamera yaml settings
+
         When used via the HTTP interface, this function returns the data as a
         `Blob` object, meaning it can be passed to another action without
         transferring it over the network.
         """
         with self.picamera() as cam:
-            (buffer, ), parameters = cam.capture_buffers(["raw"])
+            (buffer, ), parameters = cam.capture_buffers(["raw"], wait=wait)
             configuration = cam.camera_configuration()
         return RawImageModel(
             image_data = RawBlob.from_bytes(buffer.tobytes()),
@@ -703,6 +709,7 @@ def capture_jpeg(
         self,
         metadata_getter: GetThingStates,
         resolution: Literal["lores", "main", "full"] = "main",
+        wait: Optional[float] = 0.9,
     ) -> JPEGBlob:
         """Acquire one image from the camera as a JPEG
 
@@ -716,6 +723,10 @@ def capture_jpeg(
         MJPEG stream and reconfigure the camera to capture a full
         resolution image.
 
+        wait: (Optional, float) Set a timeout in seconds.
+        A TimeoutError is raised if this time is exceeded during capture.
+        Default = 0.9s, lower than the 1s timeout default in picamera yaml settings
+
         Note that this always uses the image processing pipeline - to
         bypass this, you must use a raw capture.
         """
@@ -727,7 +738,7 @@ def capture_jpeg(
         # to reconfigure for these
         if resolution in ("lores", "main") and config[resolution]:
             with self.picamera() as cam:
-                cam.capture_file(path, name=resolution, format="jpeg")
+                cam.capture_file(path, name=resolution, format="jpeg", wait=wait)
         else:
             if resolution != "full":
                 logging.warning(
@@ -738,7 +749,7 @@ def capture_jpeg(
                 cam.configure(cam.create_still_configuration())
                 cam.start()
                 logging.info("capturing")
-                cam.capture_file(path, name="main", format="jpeg")
+                cam.capture_file(path, name="main", format="jpeg", wait=wait)
                 logging.info("done")
         # After the file is written, add metadata about the current Things
         exif_dict = piexif.load(path)