diff --git a/src/navigate/config/configuration.yaml b/src/navigate/config/configuration.yaml
index 30de8d8..3b0a440 100644
--- a/src/navigate/config/configuration.yaml
+++ b/src/navigate/config/configuration.yaml
@@ -408,7 +408,7 @@ microscopes:
 
     camera:
       hardware:
-        type: Andor Test Camera
+        type: Andor
         serial_number: 0
       defect_correct_mode: 2.0
       delay: 1.0
@@ -454,6 +454,7 @@ microscopes:
       hardware:
         -
           type: synthetic
+          serial_number: 000000
           axes: [x, y, z, theta, f]
           axes_mapping: [1, 2, 3, 4, 5]
           min: 0.0
diff --git a/src/navigate/model/devices/camera/andor.py b/src/navigate/model/devices/camera/andor.py
index 183472c..df70cc9 100644
--- a/src/navigate/model/devices/camera/andor.py
+++ b/src/navigate/model/devices/camera/andor.py
@@ -509,3 +509,31 @@ class AndorCamera(CameraBase):
 
     def set_readout_direction(self, mode) -> None:
         super().set_readout_direction(mode)
+
+    def generate_new_frame(self) -> None:
+        """Generate a synthetic image for testing with synthetic DAQ.
+
+        This method is called by SyntheticDAQ when running in synthetic hardware mode.
+        It generates a random test image and copies it to the data buffer.
+        """
+        if not self.is_acquiring or self.data_buffer is None:
+            return
+
+        # Generate random noise image
+        image = np.random.normal(
+            100,  # mean background
+            20,   # standard deviation (noise)
+            size=(self.y_pixels, self.x_pixels),
+        ).astype(np.uint16)
+
+        # Ensure values are in valid uint16 range
+        image = np.clip(image, 0, 65535)
+
+        # Copy to buffer
+        ctypes.memmove(
+            self.data_buffer[self.current_frame_idx].ctypes.data,
+            image.ctypes.data,
+            self.x_pixels * self.y_pixels * 2,
+        )
+
+        self.current_frame_idx = (self.current_frame_idx + 1) % self.num_of_frame