diff --git a/app.py b/app.py
index 09cb227..4b2b057 100644
--- a/app.py
+++ b/app.py
@@ -301,15 +301,41 @@ async def detect(websocket: WebSocket):
                     "box": [0, 0, 0, 0]
                 }
             
-            # Convert detection format to match protocol - flatten detection attributes
-            detection_dict = {}
+            # Convert detection format to match backend expectations exactly as in worker.md section 4.2
+            detection_dict = {
+                "carModel": None,
+                "carBrand": None,
+                "carYear": None,
+                "bodyType": None,
+                "licensePlateText": None,
+                "licensePlateConfidence": None
+            }
             
             # Handle different detection result formats
             if isinstance(highest_confidence_detection, dict):
-                # Copy all fields from the detection result
-                for key, value in highest_confidence_detection.items():
-                    if key not in ["box", "id"]:  # Skip internal fields
-                        detection_dict[key] = value
+                # Extract and flatten branch results from parallel classification
+                branch_results = highest_confidence_detection.get("branch_results", {})
+                if branch_results:
+                    logger.debug(f"Processing branch results: {branch_results}")
+                    
+                    # Transform branch results into backend-expected detection attributes
+                    for branch_id, branch_data in branch_results.items():
+                        if isinstance(branch_data, dict):
+                            # Map common classification fields to backend-expected names
+                            if "brand" in branch_data:
+                                detection_dict["carBrand"] = branch_data["brand"]
+                            if "body_type" in branch_data:
+                                detection_dict["bodyType"] = branch_data["body_type"]
+                            if "class" in branch_data:
+                                class_name = branch_data["class"]
+                                
+                                # Map based on branch/model type
+                                if "brand" in branch_id.lower():
+                                    detection_dict["carBrand"] = class_name
+                                elif "bodytype" in branch_id.lower() or "body" in branch_id.lower():
+                                    detection_dict["bodyType"] = class_name
+                    
+                    logger.info(f"Detection payload: {detection_dict}")
             
             detection_data = {
                 "type": "imageDetection",