diff --git a/event/algorithm/coordreg/EllipsoidParametric.py b/event/algorithm/coordreg/EllipsoidParametric.py
index 299340e..f20e0ca 100644
--- a/event/algorithm/coordreg/EllipsoidParametric.py
+++ b/event/algorithm/coordreg/EllipsoidParametric.py
@@ -81,7 +81,7 @@ class EllipsoidParametric:
             # find close points - ellipsoid 1 = master
             radar_keys = list(target_samples[target].keys())
             samples_intersect = []
-            threshold = 200
+            threshold = 500
 
             # loop points in master ellipsoid
             for point1 in target_samples[target][radar_keys[0]]:
diff --git a/event/event.py b/event/event.py
index baf9b2e..a7a7c17 100644
--- a/event/event.py
+++ b/event/event.py
@@ -103,7 +103,12 @@ async def event():
 
       # processing
       associated_dets = associator.process(item["server"], radar_dict_item)
-      localised_dets = coordreg.process(associated_dets, radar_dict_item)
+      associated_dets_3_radars = {
+        key: value
+        for key, value in associated_dets.items()
+        if isinstance(value, list) and len(value) >= 3
+      }
+      localised_dets = coordreg.process(associated_dets_3_radars, radar_dict_item)
 
       if associated_dets:
         print(associated_dets, flush=True)
@@ -131,13 +136,14 @@ async def event():
             [x_rx, y_rx, z_rx],
             radar["radar"]
           )
-          points = ellipsoidParametric.sample(ellipsoid, radar["delay"]*1000, 30)
+          points = ellipsoidParametric.sample(ellipsoid, radar["delay"]*1000, 50)
           for i in range(len(points)):
             lat, lon, alt = Geometry.ecef2lla(points[i][0], points[i][1], points[i][2])
             points[i] = ([round(lat, 3), round(lon, 3), round(alt)])
           ellipsoids[radar["radar"]] = points
 
       # output data to API
+      item["timestamp_event"] = timestamp
       item["detections_associated"] = associated_dets
       item["detections_localised"] = localised_dets
       item["ellipsoids"] = ellipsoids