core/tracking/integration.py

@@ -70,7 +70,8 @@ class TrackingPipelineIntegration:
         self.abandonment_timeout = 3.0  # seconds to wait before declaring car abandoned
 
         # Thread pool for pipeline execution
-        self.executor = ThreadPoolExecutor(max_workers=2)
+        # Increased to 8 workers to handle 8 concurrent cameras without queuing
+        self.executor = ThreadPoolExecutor(max_workers=8)
 
         # Min bbox filtering configuration
         # TODO: Make this configurable via pipeline.json in the future

core/tracking/validator.py

@@ -56,10 +56,15 @@ class StableCarValidator:
         self.config = config or {}
 
         # Validation thresholds
-        self.min_stable_duration = self.config.get('min_stable_duration', 3.0)  # seconds
-        self.min_stable_frames = self.config.get('min_stable_frames', 10)
+        # Optimized for 6 FPS RTSP source with 8 concurrent cameras on GPU
+        # GPU contention reduces effective FPS to ~3-5 per camera
+        # Reduced from 3.0s to 1.5s to achieve ~2.75s total validation time (was ~4.25s)
+        self.min_stable_duration = self.config.get('min_stable_duration', 1.5)  # seconds
+        # Reduced from 10 to 5 to align with tracker requirement and reduce validation time
+        self.min_stable_frames = self.config.get('min_stable_frames', 5)
         self.position_variance_threshold = self.config.get('position_variance_threshold', 25.0)  # pixels
-        self.min_confidence = self.config.get('min_confidence', 0.7)
+        # Reduced from 0.7 to 0.45 to be more permissive under GPU load
+        self.min_confidence = self.config.get('min_confidence', 0.45)
         self.velocity_threshold = self.config.get('velocity_threshold', 5.0)  # pixels/frame
         self.entering_zone_ratio = self.config.get('entering_zone_ratio', 0.3)  # 30% of frame
         self.leaving_zone_ratio = self.config.get('leaving_zone_ratio', 0.3)