diff --git a/.gitignore b/.gitignore
index 591b3f0..e94022a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,4 +6,4 @@ build
 /detection/model
 /api/db.sqlite3
 /emblemscanner-release
-/models
+models
diff --git a/emblem5/ai/common.py b/emblem5/ai/common.py
index b4484b7..40690cb 100644
--- a/emblem5/ai/common.py
+++ b/emblem5/ai/common.py
@@ -174,7 +174,13 @@ def predict(model, transforms, image, ncells=1):
     r = predict_multi(model, transforms, [image], ncells)
     return r[0]
 
-qr_detector = cv2.wechat_qrcode_WeChatQRCode()
+_qr_detector = None
+
+def _get_qr_detector():
+    global _qr_detector
+    if _qr_detector is None:
+        _qr_detector = cv2.wechat_qrcode_WeChatQRCode()
+    return _qr_detector
 
 def find_qr(img, scale=1.0):
     # Convert PIL Image to OpenCV format
@@ -189,6 +195,7 @@ def find_qr(img, scale=1.0):
         new_size = orig_size
         resized_img = img
     img_cv = cv2.cvtColor(np.array(resized_img), cv2.COLOR_RGB2BGR)
+    qr_detector = _get_qr_detector()
     qr, corners = qr_detector.detectAndDecode(img_cv)
     if not qr:
         if scale > 0.05:
diff --git a/requirements.txt b/requirements.txt
index a31c158..b8de11d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -19,7 +19,6 @@ seaborn
 torch
 torchvision
 kornia
-opencv-python
 opencv-contrib-python
 
 # RAG dependencies
diff --git a/scripts/emcli b/scripts/emcli
index 50bfa2a..8de6330 100755
--- a/scripts/emcli
+++ b/scripts/emcli
@@ -6,6 +6,7 @@ import json
 import requests
 import argparse
 import logging
+import base64
 from multiprocessing import Pool
 from tqdm import tqdm
 import oss2
@@ -352,6 +353,63 @@ class ListModelsCommand(SubCommand):
             print(f"Error listing models: {e}", file=sys.stderr)
             return 1
 
+class QrVerifyCommand(SubCommand):
+    name = "qr-verify"
+    want_argv = False
+    help = "Post image to qr-verify endpoint"
+
+    def setup_args(self, parser):
+        parser.add_argument("--image", required=True, help="Path to image file")
+        parser.add_argument("--qrcode", required=True, help="QR code value")
+
+    def do(self, args, argv):
+        if not os.path.exists(args.image):
+            print(f"Error: Image file not found: {args.image}", file=sys.stderr)
+            return 1
+        
+        # Read image and convert to base64 data URL
+        with open(args.image, 'rb') as f:
+            image_data = f.read()
+        
+        # Determine MIME type from file extension
+        ext = os.path.splitext(args.image)[1].lower()
+        mime_types = {
+            '.jpg': 'image/jpeg',
+            '.jpeg': 'image/jpeg',
+            '.png': 'image/png',
+            '.gif': 'image/gif',
+            '.webp': 'image/webp',
+        }
+        mime_type = mime_types.get(ext, 'image/jpeg')
+        
+        # Encode to base64 data URL
+        base64_data = base64.b64encode(image_data).decode('utf-8')
+        data_url = f"data:{mime_type};base64,{base64_data}"
+        
+        # Prepare request data
+        data = {
+            'qrcode': args.qrcode,
+            'image_data_urls': [data_url],
+        }
+        
+        # Post to qr-verify endpoint
+        server = self.get_server()
+        url = f'{server}/api/v1/qr-verify/'
+        headers = {
+            'Content-Type': 'application/json',
+        }
+        headers.update(self.make_headers())
+        
+        try:
+            r = requests.post(url, headers=headers, json=data)
+            r.raise_for_status()
+            print(json.dumps(r.json(), indent=2))
+        except Exception as e:
+            print(f"Error posting to qr-verify: {e}", file=sys.stderr)
+            if hasattr(e, 'response') and e.response is not None:
+                print(f"Response: {e.response.text}", file=sys.stderr)
+            return 1
+
 def global_args(parser):
     parser.add_argument("--env", "-E", help="Env", default="prod")
     parser.add_argument("-D", "--debug", action="store_true",