diff --git a/smarts/env/utils/__init__.py b/smarts/env/utils/__init__.py
deleted file mode 100644
index a6a81ed34c..0000000000
--- a/smarts/env/utils/__init__.py
+++ /dev/null
@@ -1,19 +0,0 @@
-# Copyright (C) 2022. Huawei Technologies Co., Ltd. All rights reserved.
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in
-# all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-# THE SOFTWARE.
diff --git a/smarts/env/utils/record.py b/smarts/env/utils/record.py
deleted file mode 100644
index 13450b6e4b..0000000000
--- a/smarts/env/utils/record.py
+++ /dev/null
@@ -1,84 +0,0 @@
-# Copyright (C) 2022. Huawei Technologies Co., Ltd. All rights reserved.
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in
-# all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-# THE SOFTWARE.
-import os
-
-from typing import Any
-
-import gym
-import numpy as np
-
-from smarts.core.sensors import Observation
-from smarts.core.utils.file import smarts_log_dir
-from smarts.env.wrappers.utils.rendering import vis_sim_obs
-
-Action = Any
-Operation = Any
-
-default_log_dir = smarts_log_dir()
-
-
-class AgentCameraRGBRender:
-    """Wraps the environment with `rgb_array` render mode capabilities."""
-
-    def __init__(self, env: gym.Env, max_agents: int = 1, enabled=True):
-        self._max_agents = max_agents
-        self._enabled = enabled
-        self._image_frame = []
-        self.is_vector_env = getattr(env, "is_vector_env", False)
-
-    def step(self, obs, rewards, dones, infos):
-        """Record a step."""
-
-        single_env_obs = obs
-        if self.is_vector_env:
-            # For now only render one environment
-            single_env_obs = obs[0]
-
-        self._record_for_render(single_env_obs)
-
-    def render(self, mode="rgb_array", **kwargs):
-        """Render the given camera image in this environment."""
-
-        if len(self._image_frame) > 0:
-            return self._image_frame
-
-    def reset(self, obs) -> Any:
-        """Record the reset of the environment."""
-
-        self._record_for_render(obs)
-        return obs
-
-    def _record_for_render(self, obs) -> Any:
-        if not self._enabled:
-            return
-        if isinstance(obs, Observation):
-            obs = {"default_agent": obs}
-        values = list(vis_sim_obs(obs).values())
-        largest_image = max(values, key=lambda im: np.product(im.shape))
-        image = np.array([np.resize(im, largest_image.shape) for im in values])
-        if len(image.shape) > 2:
-            self._image_frame = np.reshape(
-                image,
-                (
-                    image.shape[0] * image.shape[2],
-                    image.shape[1] * image.shape[3],
-                    image.shape[4],
-                ),
-            )