Update ocr_engine.py

ocr_engine.py

@@ -9,28 +9,24 @@ def extract_weight_from_image(pil_img):
     try:
         img = np.array(pil_img)
 
-        # Convert to grayscale
+        # Preprocessing for OCR
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
-
-        # Resize and enhance contrast
         gray = cv2.resize(gray, None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)
         gray = cv2.equalizeHist(gray)
-
-        # Reduce noise and invert for LCD displays
         gray = cv2.GaussianBlur(gray, (3, 3), 0)
         inverted = cv2.bitwise_not(gray)
 
-        # OCR
+        # OCR read
         result = reader.readtext(inverted, detail=0)
         combined_text = " ".join(result)
-        print("OCR Result:", combined_text)
+        print("OCR Raw Text:", combined_text)
 
-        # Primary match: e.g., 25kg, 75.45 kg
-        match = re.search(r"(\d{1,3}(?:\.\d{1,2})?)\s?(kg|KG|Kg)", combined_text)
+        # First try matching with "kg"
+        match = re.search(r"(\d{1,4}(?:\.\d{1,2})?)\s*(kg|KG|Kg)", combined_text)
         if match:
             return f"{match.group(1)} kg", 95.0
 
-        # Fallback: just numbers (assume it's in kg)
+        # Then try fallback match: only numbers
         fallback = re.search(r"\d{1,4}(?:\.\d{1,2})?", combined_text)
         if fallback:
             return f"{fallback.group(0)} kg", 75.0