Update app.py

app.py

@@ -164,21 +164,21 @@ def run_temporal_analysis(stream_id, frames_3d_copy, prob_max, prob_mean, prob_m
         
         try:
             ensemble_probs = model_svm.predict_proba(combined)[0]
-            final_idx = int(model_svm.predict(combined)[0])
+            final_idx = model_svm.predict(combined)[0]
             confidence = float(ensemble_probs[final_idx] * 100)
             severity = classes[final_idx]
-        except Exception as svm_err:
-            final_idx = min(int(np.argmax(prob_max)), 2) if np.sum(prob_max) > 0 else min(int(np.argmax(prob_3d)), 2)
-            confidence = float(np.max(prob_max)) * 100 if np.sum(prob_max) > 0 else float(np.max(prob_3d)) * 100
+        except:
+            final_idx = min(int(np.argmax(prob_max)), 2)
+            confidence = float(np.max(prob_max)) * 100
             severity = classes[final_idx]
 
         state["severity"] = severity.capitalize()
         state["confidence"] = round(confidence, 1)
+        state["cnn"] = round(yolo_max_conf, 1)
         state["rcnn"] = round(float(np.max(prob_3d)) * 100, 1)
 
-        # 🚨 FIX: Strict Dual-Consensus checks to prevent IP camera frame-drop false positives!
-        # Requires 75% overall confidence AND at least 50% spatial confirmation from YOLO of an actual object collision.
-        if confidence > 75 and yolo_max_conf > 50.0:
+        # FIX: Restored threshold back to 85 from 75 to completely eliminate false positives on noisy live feeds
+        if confidence > 85:
             state["final_decision"] = True
             state["label"] = f"Incident Logged: {severity.capitalize()}"
             threading.Thread(target=process_accident_async, args=(stream_id, raw_frame, location, confidence, severity)).start()
@@ -186,7 +186,7 @@ def run_temporal_analysis(stream_id, frames_3d_copy, prob_max, prob_mean, prob_m
             state["label"] = f"Analyzing... ({severity.capitalize()})"
 
     except Exception as e:
-        print(f"AI Error in Temporal Engine: {e}", flush=True)
+        print(f"AI Error: {e}", flush=True)
     finally:
         if state: state["is_analyzing"] = False