diff --git a/database.py b/database.py
index 8f79161..1f96660 100644
--- a/database.py
+++ b/database.py
@@ -6,7 +6,7 @@
 import cv2
 import logging
 
-FACE_SIMILARITY_TOLARANCE = 0.6
+FACE_SIMILARITY_TOLARANCE = 0.55
 
 # Configure logging
 logging.basicConfig(
diff --git a/face_detection.py b/face_detection.py
index 5375795..02156a9 100644
--- a/face_detection.py
+++ b/face_detection.py
@@ -1,3 +1,4 @@
+import hashlib
 import cv2
 import os
 import numpy as np
@@ -27,6 +28,14 @@ def save_unique_face(face_location, image, unique_faces_folder, face_id):
     cv2.imwrite(face_path, cv2.cvtColor(face_image, cv2.COLOR_RGB2BGR))
     return face_path
 
+def hash_image_filename(filename):
+    """Generate a hash of the image filename."""
+    return hashlib.sha256(filename.encode()).hexdigest()
+
+def is_image_processed(collection, filename_hash):
+    """Check if the image has already been processed by looking it up in the database."""
+    return collection.find_one({"occurrences.filename_hash": filename_hash}) is not None
+
 def process_images(image_folder, unique_faces_folder, collection):
     unique_face_count = 0
     face_occurrences = {}
@@ -35,6 +44,13 @@ def process_images(image_folder, unique_faces_folder, collection):
         if filename.lower().endswith(('.png', '.jpg', '.jpeg')):
             logging.info(f"Processing image: {filename}")
             image_path = os.path.join(image_folder, filename)
+            filename_hash = hash_image_filename(filename)
+
+            # Check if the image has already been processed
+            if is_image_processed(collection, filename_hash):
+                logging.info(f"Skipping already processed image: {filename}")
+                continue
+
             face_locations, image = extract_faces(image_path)
 
             for face_location in face_locations:
@@ -43,6 +59,12 @@ def process_images(image_folder, unique_faces_folder, collection):
                 
                 existing_face_id = find_similar_face(collection, face_encoding)
 
+                occurrence_data = {
+                    'filename': filename,
+                    'filename_hash': filename_hash,  # Add the filename hash here
+                    'bounding_box': face_location
+                }
+
                 if existing_face_id is None:
                     face_id = unique_face_count
                     face_path = save_unique_face(face_location, image, unique_faces_folder, face_id)
@@ -51,40 +73,25 @@ def process_images(image_folder, unique_faces_folder, collection):
                         'face_id': face_id,
                         'image_filename': face_path,
                         'face_encoding': encoded_face,
-                        'occurrences': [{
-                            'filename': filename,
-                            'bounding_box': face_location
-                        }]
+                        'occurrences': [occurrence_data]
                     }
 
                     save_face_to_db(collection, face_data)
                     logging.info(f"Saved unique face ID {face_id} to database with path: {face_path}")
                     
-                    face_occurrences[face_id] = [{
-                        'filename': filename,
-                        'bounding_box': face_location
-                    }]
+                    face_occurrences[face_id] = [occurrence_data]
                     unique_face_count += 1
                 else:
                     logging.info(f"Found existing face ID {existing_face_id} in image: {filename}")
                     # Update the occurrences for the existing face
                     collection.update_one(
                         {'face_id': existing_face_id},
-                        {'$push': {'occurrences': {
-                            'filename': filename,
-                            'bounding_box': face_location
-                        }}}
+                        {'$push': {'occurrences': occurrence_data}}
                     )
                     if existing_face_id in face_occurrences:
-                        face_occurrences[existing_face_id].append({
-                            'filename': filename,
-                            'bounding_box': face_location
-                        })
+                        face_occurrences[existing_face_id].append(occurrence_data)
                     else:
-                        face_occurrences[existing_face_id] = [{
-                            'filename': filename,
-                            'bounding_box': face_location
-                        }]
+                        face_occurrences[existing_face_id] = [occurrence_data]
 
     return unique_face_count, face_occurrences
 
@@ -99,4 +106,4 @@ def process_images(image_folder, unique_faces_folder, collection):
 
     unique_faces_count, face_occurrences = process_images(image_folder, unique_faces_folder, collection)
     logging.info(f"Unique faces extracted and saved to database: {unique_faces_count}")
-    logging.info(f"Face occurrences: {face_occurrences}")
\ No newline at end of file
+    logging.info(f"Face occurrences: {face_occurrences}")