diff --git a/util/opencv._detect.py b/util/opencv._detect.py
new file mode 100644
index 0000000..d637388
--- /dev/null
+++ b/util/opencv._detect.py
@@ -0,0 +1,47 @@
+import cv2
+import sys
+import os
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from gradio_ui.tools.screen_capture import get_screenshot
+
+def detect_and_draw_edges():
+    # Read the image
+    screenshot, path = get_screenshot(is_cursor=False)
+    img = cv2.imread(path)
+    if img is None:
+        print("Error: Could not read the image.")
+        return
+    
+    # Create a copy for drawing contours later
+    original = img.copy()
+    
+    # Convert to grayscale
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    
+    # Apply Gaussian blur to reduce noise
+    blurred = cv2.GaussianBlur(gray, (5, 5), 0)
+    
+    # Detect edges using Canny algorithm
+    edges = cv2.Canny(blurred, 50, 150)
+    
+    # Find contours from the edges
+    contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+    
+    # Draw all detected contours
+    cv2.drawContours(original, contours, -1, (0, 255, 0), 2)
+    
+    print(f"Found {len(contours)} contours in the image")
+    
+    # Display results
+    # cv2.imshow("Original Image", img)
+    cv2.imshow("Edges", edges)
+    # cv2.imshow("Contours", original)
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+    
+    return original, contours
+
+# Example usage
+if __name__ == "__main__":
+    result_image, detected_contours = detect_and_draw_edges()