diff --git a/examples/3_replay_neuracore_episodes.py b/examples/3_replay_neuracore_episodes.py
index 86a6b5c..fc06f26 100644
--- a/examples/3_replay_neuracore_episodes.py
+++ b/examples/3_replay_neuracore_episodes.py
@@ -6,10 +6,10 @@
 from pathlib import Path
 from typing import cast
 
+import cv2
 import neuracore as nc
 import numpy as np
 from common.configs import (
-    CAMERA_LOGGING_NAME,
     GRIPPER_LOGGING_NAME,
     JOINT_NAMES,
     NEUTRAL_JOINT_ANGLES,
@@ -117,7 +117,7 @@ def main() -> None:
             episode = synced_dataset[episode_idx]
 
             print(f"\n🚀 Collecting episode {episode_idx} data...")
-            rgb_images = []
+            rgb_frames_per_step: list[dict[str, np.ndarray]] = []
             parallel_gripper_open_amounts = []
             joint_positions = []
             for step in tqdm(episode, desc=f"Collecting episode {episode_idx}"):
@@ -144,11 +144,13 @@ def main() -> None:
                         gripper_value = gripper_data[GRIPPER_LOGGING_NAME].open_amount
                 parallel_gripper_open_amounts.append(gripper_value)
 
-                # Extract RGB image (just store first one for compatibility)
+                # Extract RGB for all cameras
+                step_frames: dict[str, np.ndarray] = {}
                 if DataType.RGB_IMAGES in step.data:
                     rgb_data = step.data[DataType.RGB_IMAGES]
-                    if CAMERA_LOGGING_NAME in rgb_data:
-                        rgb_images.append(rgb_data[CAMERA_LOGGING_NAME].frame)
+                    for camera_name, img_value in rgb_data.items():
+                        step_frames[camera_name] = img_value.frame
+                rgb_frames_per_step.append(step_frames)
 
             joint_positions = np.degrees(np.array(joint_positions))
             parallel_gripper_open_amounts = np.array(parallel_gripper_open_amounts)
@@ -162,8 +164,20 @@ def main() -> None:
                 robot_controller.set_gripper_open_value(
                     parallel_gripper_open_amounts[index]
                 )
+
+                # Display camera frames (dataset stores RGB; OpenCV expects BGR)
+                if index < len(rgb_frames_per_step):
+                    for camera_name, frame_rgb in rgb_frames_per_step[index].items():
+                        arr = np.asarray(frame_rgb, dtype=np.uint8)
+                        frame_bgr = cv2.cvtColor(arr, cv2.COLOR_RGB2BGR)
+                        cv2.imshow(f"Replay: {camera_name}", frame_bgr)
+                if cv2.waitKey(1) & 0xFF == ord("q"):
+                    print("\n🛑 'q' pressed, stopping replay...")
+                    break
+
                 end_time = time.time()
                 time.sleep(max(0, 1 / args.frequency - (end_time - start_time)))
+            cv2.destroyAllWindows()
             print(f"🎉 Episode {episode_idx} replay completed.")
 
         if args.episode_index == -1:
@@ -172,6 +186,7 @@ def main() -> None:
             print(f"{'='*60}")
     except KeyboardInterrupt:
         print("\n🛑 Keyboard interrupt detected, stopping robot control loop...")
+        cv2.destroyAllWindows()
 
     robot_controller.stop_control_loop()
     robot_controller.cleanup()