diff --git a/frigate/detectors/plugins/axelera.py b/frigate/detectors/plugins/axelera.py
index 5bf0e77aef..e1ce7407cd 100644
--- a/frigate/detectors/plugins/axelera.py
+++ b/frigate/detectors/plugins/axelera.py
@@ -177,7 +177,12 @@ class _AxeleraInference:
             yield frame
 
     def _detection_rows(self, frame_result) -> list:
-        """Convert a stream result into (class_id, score, ymin, xmin, ymax, xmax) rows."""
+        """Convert a stream result into (class_id, score, ymin, xmin, ymax, xmax) rows.
+
+        Box coordinates are NORMALIZED [0..1]: Frigate's detect() multiplies
+        them by the region size, pixel boxes are discarded as outside the frame
+        (zero events despite working detections).
+        """
         dets = getattr(frame_result, "detections", None) or []
         rows = []
         for det in dets:
@@ -202,7 +207,14 @@ class _AxeleraInference:
                 continue
             x0, y0, x1, y1 = box
             rows.append(
-                (class_id, score, y0, x0, min(y1, self._height), min(x1, self._width))
+                (
+                    class_id,
+                    score,
+                    y0 / self._height,
+                    x0 / self._width,
+                    min(y1, self._height) / self._height,
+                    min(x1, self._width) / self._width,
+                )
             )
         rows.sort(key=lambda r: r[1], reverse=True)
         return rows[:MAX_ROWS]
diff --git a/frigate/test/test_axelera_detector.py b/frigate/test/test_axelera_detector.py
index 34e82bcb96..f0f9cfd489 100644
--- a/frigate/test/test_axelera_detector.py
+++ b/frigate/test/test_axelera_detector.py
@@ -227,8 +227,8 @@ class TestAxeleraInference(unittest.TestCase):
             ids = sorted(int(r[0]) for r in out if r[1] > 0)
             self.assertEqual(ids, [0, 7])  # unknown_label dropped
             rows = {int(r[0]): r for r in out if r[1] > 0}
-            # rows are [class_id, score, ymin, xmin, ymax, xmax] in pixels
-            self.assertEqual(tuple(rows[7][2:6]), (20.0, 10.0, 40.0, 30.0))
+            # rows are [class_id, score, ymin, xmin, ymax, xmax] NORMALIZED (0..1)
+            self.assertEqual(tuple(rows[7][2:6]), (0.0625, 0.03125, 0.125, 0.09375))
             self.assertEqual(rows[0][1], 0.55)
         finally:
             engine.stop()
@@ -291,7 +291,7 @@ class TestAxeleraInference(unittest.TestCase):
             truck = [r for r in out if int(r[0]) == 7 and r[1] > 0]
             self.assertTrue(truck, "expected truck row")
             self.assertAlmostEqual(float(truck[0][1]), 0.8, places=2)
-            self.assertEqual(tuple(truck[0][2:6]), (20.0, 10.0, 40.0, 30.0))
+            self.assertEqual(tuple(truck[0][2:6]), (0.0625, 0.03125, 0.125, 0.09375))
         finally:
             engine.stop()