diff --git a/.gitignore b/.gitignore
index ac41faf..e4bec62 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,3 @@
 videos/*
 data/*
+logs/*
diff --git a/anpr_main.py b/anpr_main.py
index 008658b..f1f7e47 100644
--- a/anpr_main.py
+++ b/anpr_main.py
@@ -3,7 +3,7 @@
 #* File Name : anpr_yolo_v8.py
 #* Purpose :
 #* Creation Date : 21-04-2025
-#* Last Modified : Thu 01 May 2025 05:48:26 PM UTC
+#* Last Modified : Thu 01 May 2025 08:27:26 PM CEST
 #* Created By : Yaay Nands
 #_._._._._._._._._._._._._._._._._._._._._.#
 import glob
@@ -235,12 +235,11 @@ async def capture_number_plate(db, signal_received):
                 res = await cursor.fetchall()
                 logger.debug("found unprocessed records: %i ", len(res))
                 for record in res:
-                    #logger.debug("processing record: %s"%json.dumps(record))
-                    plates = anprm.infer(filename)
+                    logger.debug("processing video file %s"%record['filename'])
+                    plates = anprm.infer(record['filename'])
                     cursor = await db.execute(SQL["UPDATE_NUMBERS"],
-                                              (True, 'NOMARS', record['model'],
-                                                                record['filename'],
-                                                                record['ts']))
+                                              (True, json.dumps(plates), record['model'],
+                                                    record['filename'], record['ts']))
                     res = await cursor.fetchone()
             except asyncio.CancelledError:
                 logger.debug("Closing loop capture_number_plate")
diff --git a/db/numberplates.sqlite3 b/db/numberplates.sqlite3
index 2683eb8..5fec6d0 100644
Binary files a/db/numberplates.sqlite3 and b/db/numberplates.sqlite3 differ
diff --git a/lib/anpr.py b/lib/anpr.py
index 3ccf888..8c8540d 100644
--- a/lib/anpr.py
+++ b/lib/anpr.py
@@ -6,16 +6,15 @@ import torch
 import ultralytics
 from ultralytics import YOLO
 from PIL import Image
-ultralytics.checks()
+#ultralytics.checks()
 from xml.etree import ElementTree as ET
-
+from .consts import  BASE_PATH
 
 if torch.cuda.is_available():
     device = torch.device('cuda')
 else:
     device = torch.device('cpu')
 
-BASE_PATH = '..'
 def convert_bbox_to_yolo(
     size: tuple[float, float], box: tuple[float, float, float, float]
 ) -> tuple[float, float, float, float]:
diff --git a/lib/consts.py b/lib/consts.py
index b99b5c7..1cfbbf1 100644
--- a/lib/consts.py
+++ b/lib/consts.py
@@ -2,7 +2,8 @@ DB_RECORDINGS = "db/numberplates.sqlite3"
 VIDEO_OUT_FULL = "videos/full/"
 VIDEO_OUT_ANAL = "videos/analysis"
 
-MODEL_NAME = "models/train25/best.pt"
+BASE_PATH = '/home/nands/workspace/c4s/anpr'
+MODEL_NAME = "yolo_v8_custom"
 RTSP_URL = "rtsp://admin:C4sinfra12@192.168.1.10:554/rtsp"
 SCREEN_RESOLUTION = (1280, 720)  # Resolution of the RTSP stream
 BITRATE = 1000000  # Bitrate for video recording