Update ocr_engine.py

ocr_engine.py

@@ -5,21 +5,29 @@ from PIL import Image
 
 def extract_weight_from_image(pil_img):
     try:
-        # Convert PIL image to OpenCV
+        # Convert to OpenCV image
         img = pil_img.convert("RGB")
         img = np.array(img)
         img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
 
-        # Preprocess
+        # Crop or resize if needed (optional based on display layout)
+
+        # Convert to grayscale and enhance contrast
         gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-        blur = cv2.GaussianBlur(gray, (3, 3), 0)
+        _, thresh = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY_INV)
 
-        # OCR
-        text = pytesseract.image_to_string(blur, config='--psm 7 digits')
-        weight = ''.join(filter(lambda c: c in '0123456789.', text))
+        # Optional: Resize for better OCR (helps with small digits)
+        resized = cv2.resize(thresh, None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)
+
+        # Apply OCR with proper config for digits
+        custom_config = r'--oem 3 --psm 6 -c tessedit_char_whitelist=0123456789.'
+        text = pytesseract.image_to_string(resized, config=custom_config)
 
-        confidence = 95  # Replace with real confidence logic if needed
+        # Filter out non-numeric parts
+        weight = ''.join(filter(lambda c: c in '0123456789.', text))
+        confidence = 95 if weight else 0
         return weight.strip(), confidence
+
     except Exception as e:
-        print(f"OCR error: {e}")
+        print("OCR Exception:", str(e))
         return "", 0