diff --git a/core/frame_to_video.py b/core/frame_to_video.py
index 93d5744..bff3bb3 100644
--- a/core/frame_to_video.py
+++ b/core/frame_to_video.py
@@ -2,10 +2,8 @@
 import json
 import os
 from datetime import datetime
-from os.path import isfile, join
 
 import cv2
-import numpy as np
 
 # Initialize parser
 parser = argparse.ArgumentParser()
@@ -13,20 +11,32 @@
 # Adding optional argument
 parser.add_argument("-n", "--name", help="name of video")
 
-# Load the frame data from JSON
-frame_data = open("./frameCreationInfo.json")
-frame_data = json.load(frame_data)
-
-
-def convert_frames_to_video(pathIn, pathOut, fps):
+def convert_frames_to_video(pathIn, pathOut, fps, frame_data, cv2_module=cv2):
     """
     Optimized OpenCV method with better codec and settings
     """
     try:
         # Load the first image to get video dimensions
-        first_frame_key = frame_data["frame_key"]["0"]
+        frame_keys = frame_data.get("frame_key")
+        if not frame_keys:
+            print("Error: Metadata is missing frame_key entries.")
+            return False
+
+        first_frame_key = frame_keys.get("0") if isinstance(frame_keys, dict) else None
+        if first_frame_key is None:
+            print("Error: Metadata does not contain a first frame entry.")
+            return False
+
         first_frame_path = pathIn + first_frame_key + ".png"
-        img = cv2.imread(first_frame_path)
+
+        if not os.path.exists(first_frame_path):
+            print(
+                "Error: First frame not found at"
+                f" {first_frame_path}. Please ensure frames are generated."
+            )
+            return False
+
+        img = cv2_module.imread(first_frame_path)
 
         if img is None:
             print(f"Error: Unable to read the image {first_frame_path}")
@@ -36,20 +46,32 @@ def convert_frames_to_video(pathIn, pathOut, fps):
         size = (width, height)
 
         # Use H.264 codec for better compression and quality
-        fourcc = cv2.VideoWriter_fourcc(*"mp4v")  # or 'H264' if available
-        out = cv2.VideoWriter(pathOut, fourcc, fps, size)
+        fourcc = cv2_module.VideoWriter_fourcc(*"mp4v")  # or 'H264' if available
+        out = cv2_module.VideoWriter(pathOut, fourcc, fps, size)
 
         if not out.isOpened():
             print("Error: VideoWriter could not be opened")
             return False
 
         # Process frames in order using frame_data
-        total_frames = len(frame_data["frame_key"])
+        total_frames = len(frame_keys)
         print(f"Creating video with {total_frames} frames...")
 
         for counter in range(total_frames):
-            filename = pathIn + frame_data["frame_key"][str(counter)] + ".png"
-            img = cv2.imread(filename)
+            try:
+                frame_key = (
+                    frame_keys[str(counter)]
+                    if isinstance(frame_keys, dict)
+                    else frame_keys[counter]
+                )
+            except (KeyError, IndexError):
+                print(
+                    f"Warning: Metadata missing frame entry for index {counter}, skipping frame."
+                )
+                continue
+
+            filename = pathIn + frame_key + ".png"
+            img = cv2_module.imread(filename)
 
             if img is None:
                 print(f"Error: Unable to read the image {filename}")
@@ -88,11 +110,23 @@ def main():
 
     print(f"Creating video with file name: {name}")
 
+    metadata_path = "./frameCreationInfo.json"
+
+    if not os.path.exists(metadata_path):
+        print(
+            "Error: Metadata file frameCreationInfo.json not found. "
+            "Please run the frame generator before creating a video."
+        )
+        return
+
+    with open(metadata_path) as metadata_file:
+        frame_data = json.load(metadata_file)
+
     # Set frames per second (FPS) for the video
     fps = 24.0
 
     # Convert the frames to a video
-    convert_frames_to_video(pathIn, pathOut, fps)
+    convert_frames_to_video(pathIn, pathOut, fps, frame_data)
 
 
 if __name__ == "__main__":