docs/docs/configuration/license_plate_recognition.md

@@ -3,18 +3,18 @@ id: license_plate_recognition
 title: License Plate Recognition (LPR)
 ---
 
-Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a [known](#matching) name as a `sub_label` to tracked objects of type `car` or `motorcycle`. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.
+Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a known name as a `sub_label` to tracked objects of type `car` or `motorcycle`. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.
 
 LPR works best when the license plate is clearly visible to the camera. For moving vehicles, Frigate continuously refines the recognition process, keeping the most confident result. When a vehicle becomes stationary, LPR continues to run for a short time after to attempt recognition.
 
 When a plate is recognized, the details are:
 
-- Added as a `sub_label` (if [known](#matching)) or the `recognized_license_plate` field (if unknown) to a tracked object.
+- Added as a `sub_label` (if known) or the `recognized_license_plate` field (if unknown) to a tracked object.
-- Viewable in the Details pane in Review/History.
+- Viewable in the Review Item Details pane in Review (sub labels).
 - Viewable in the Tracked Object Details pane in Explore (sub labels and recognized license plates).
 - Filterable through the More Filters menu in Explore.
-- Published via the `frigate/events` MQTT topic as a `sub_label` ([known](#matching)) or `recognized_license_plate` (unknown) for the `car` or `motorcycle` tracked object.
+- Published via the `frigate/events` MQTT topic as a `sub_label` (known) or `recognized_license_plate` (unknown) for the `car` or `motorcycle` tracked object.
-- Published via the `frigate/tracked_object_update` MQTT topic with `name` (if [known](#matching)) and `plate`.
+- Published via the `frigate/tracked_object_update` MQTT topic with `name` (if known) and `plate`.
 
 ## Model Requirements
 
@@ -31,7 +31,6 @@ In the default mode, Frigate's LPR needs to first detect a `car` or `motorcycle`
 ## Minimum System Requirements
 
 License plate recognition works by running AI models locally on your system. The YOLOv9 plate detector model and the OCR models ([PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)) are relatively lightweight and can run on your CPU or GPU, depending on your configuration. At least 4GB of RAM is required.
-
 ## Configuration
 
 License plate recognition is disabled by default. Enable it in your config file:
@@ -74,8 +73,8 @@ Fine-tune the LPR feature using these optional parameters at the global level of
   - Default: `small`
   - This can be `small` or `large`.
   - The `small` model is fast and identifies groups of Latin and Chinese characters.
-  - The `large` model identifies Latin characters only, and uses an enhanced text detector to find characters on multi-line plates. It is significantly slower than the `small` model.
+  - The `large` model identifies Latin characters only, but uses an enhanced text detector and is more capable at finding characters on multi-line plates. It is significantly slower than the `small` model. Note that using the `large` model does not improve _text recognition_, but it may improve _text detection_.
-  - If your country or region does not use multi-line plates, you should use the `small` model as performance is much better for single-line plates.
+  - For most users, the `small` model is recommended.
 
 ### Recognition
 
@@ -306,7 +305,7 @@ With this setup:
 - Review items will always be classified as a `detection`.
 - Snapshots will always be saved.
 - Zones and object masks are **not** used.
-- The `frigate/events` MQTT topic will **not** publish tracked object updates with the license plate bounding box and score, though `frigate/reviews` will publish if recordings are enabled. If a plate is recognized as a [known](#matching) plate, publishing will occur with an updated `sub_label` field. If characters are recognized, publishing will occur with an updated `recognized_license_plate` field.
+- The `frigate/events` MQTT topic will **not** publish tracked object updates with the license plate bounding box and score, though `frigate/reviews` will publish if recordings are enabled. If a plate is recognized as a known plate, publishing will occur with an updated `sub_label` field. If characters are recognized, publishing will occur with an updated `recognized_license_plate` field.
 - License plate snapshots are saved at the highest-scoring moment and appear in Explore.
 - Debug view will not show `license_plate` bounding boxes.
 

docs/docs/configuration/semantic_search.md

@@ -141,7 +141,7 @@ Triggers are best configured through the Frigate UI.
      Check the `Add Attribute` box to add the trigger's internal ID (e.g., "red_car_alert") to a data attribute on the tracked object that can be processed via the API or MQTT.
 5. Save the trigger to update the configuration and store the embedding in the database.
 
-When a trigger fires, the UI highlights the trigger with a blue dot for 3 seconds for easy identification. Additionally, the UI will show the last date/time and tracked object ID that activated your trigger. The last triggered timestamp is not saved to the database or persisted through restarts of Frigate.
+When a trigger fires, the UI highlights the trigger with a blue dot for 3 seconds for easy identification.
 
 ### Usage and Best Practices
 

frigate/api/event.py

@@ -1781,8 +1781,9 @@ def create_trigger_embedding(
                 logger.debug(
                     f"Writing thumbnail for trigger with data {body.data} in {camera_name}."
                 )
-            except Exception:
+            except Exception as e:
-                logger.exception(
+                logger.error(e.with_traceback())
+                logger.error(
                     f"Failed to write thumbnail for trigger with data {body.data} in {camera_name}"
                 )
 
@@ -1806,8 +1807,8 @@ def create_trigger_embedding(
             status_code=200,
         )
 
-    except Exception:
+    except Exception as e:
-        logger.exception("Error creating trigger embedding")
+        logger.error(e.with_traceback())
         return JSONResponse(
             content={
                 "success": False,
@@ -1916,8 +1917,9 @@ def update_trigger_embedding(
                     logger.debug(
                         f"Deleted thumbnail for trigger with data {trigger.data} in {camera_name}."
                     )
-                except Exception:
+                except Exception as e:
-                    logger.exception(
+                    logger.error(e.with_traceback())
+                    logger.error(
                         f"Failed to delete thumbnail for trigger with data {trigger.data} in {camera_name}"
                     )
 
@@ -1956,8 +1958,9 @@ def update_trigger_embedding(
                 logger.debug(
                     f"Writing thumbnail for trigger with data {body.data} in {camera_name}."
                 )
-            except Exception:
+            except Exception as e:
-                logger.exception(
+                logger.error(e.with_traceback())
+                logger.error(
                     f"Failed to write thumbnail for trigger with data {body.data} in {camera_name}"
                 )
 
@@ -1969,8 +1972,8 @@ def update_trigger_embedding(
             status_code=200,
         )
 
-    except Exception:
+    except Exception as e:
-        logger.exception("Error updating trigger embedding")
+        logger.error(e.with_traceback())
         return JSONResponse(
             content={
                 "success": False,
@@ -2030,8 +2033,9 @@ def delete_trigger_embedding(
             logger.debug(
                 f"Deleted thumbnail for trigger with data {trigger.data} in {camera_name}."
             )
-        except Exception:
+        except Exception as e:
-            logger.exception(
+            logger.error(e.with_traceback())
+            logger.error(
                 f"Failed to delete thumbnail for trigger with data {trigger.data} in {camera_name}"
             )
 
@@ -2043,8 +2047,8 @@ def delete_trigger_embedding(
             status_code=200,
         )
 
-    except Exception:
+    except Exception as e:
-        logger.exception("Error deleting trigger embedding")
+        logger.error(e.with_traceback())
         return JSONResponse(
             content={
                 "success": False,

web/src/components/menu/SearchResultActions.tsx

@@ -4,7 +4,9 @@ import { FrigateConfig } from "@/types/frigateConfig";
 import { baseUrl } from "@/api/baseUrl";
 import { toast } from "sonner";
 import axios from "axios";
+import { LuCamera, LuDownload, LuTrash2 } from "react-icons/lu";
 import { FiMoreVertical } from "react-icons/fi";
+import { MdImageSearch } from "react-icons/md";
 import { buttonVariants } from "@/components/ui/button";
 import {
   ContextMenu,
@@ -29,8 +31,11 @@ import {
   AlertDialogTitle,
 } from "@/components/ui/alert-dialog";
 import useSWR from "swr";
+
 import { Trans, useTranslation } from "react-i18next";
+import { BsFillLightningFill } from "react-icons/bs";
 import BlurredIconButton from "../button/BlurredIconButton";
+import { PiPath } from "react-icons/pi";
 
 type SearchResultActionsProps = {
   searchResult: SearchResult;
@@ -93,6 +98,7 @@ export default function SearchResultActions({
             href={`${baseUrl}api/events/${searchResult.id}/clip.mp4`}
             download={`${searchResult.camera}_${searchResult.label}.mp4`}
           >
+            <LuDownload className="mr-2 size-4" />
             <span>{t("itemMenu.downloadVideo.label")}</span>
           </a>
         </MenuItem>
@@ -104,6 +110,7 @@ export default function SearchResultActions({
             href={`${baseUrl}api/events/${searchResult.id}/snapshot.jpg`}
             download={`${searchResult.camera}_${searchResult.label}.jpg`}
           >
+            <LuCamera className="mr-2 size-4" />
             <span>{t("itemMenu.downloadSnapshot.label")}</span>
           </a>
         </MenuItem>
@@ -113,31 +120,44 @@ export default function SearchResultActions({
           aria-label={t("itemMenu.viewTrackingDetails.aria")}
           onClick={showTrackingDetails}
         >
+          <PiPath className="mr-2 size-4" />
           <span>{t("itemMenu.viewTrackingDetails.label")}</span>
         </MenuItem>
       )}
-      {config?.semantic_search?.enabled &&
+      {config?.semantic_search?.enabled && isContextMenu && (
-        searchResult.data.type == "object" && (
+        <MenuItem
-          <MenuItem
+          aria-label={t("itemMenu.findSimilar.aria")}
-            aria-label={t("itemMenu.findSimilar.aria")}
+          onClick={findSimilar}
-            onClick={findSimilar}
+        >
-          >
+          <MdImageSearch className="mr-2 size-4" />
-            <span>{t("itemMenu.findSimilar.label")}</span>
+          <span>{t("itemMenu.findSimilar.label")}</span>
-          </MenuItem>
+        </MenuItem>
-        )}
+      )}
       {config?.semantic_search?.enabled &&
         searchResult.data.type == "object" && (
           <MenuItem
             aria-label={t("itemMenu.addTrigger.aria")}
             onClick={addTrigger}
           >
+            <BsFillLightningFill className="mr-2 size-4" />
             <span>{t("itemMenu.addTrigger.label")}</span>
           </MenuItem>
         )}
+      {config?.semantic_search?.enabled &&
+        searchResult.data.type == "object" && (
+          <MenuItem
+            aria-label={t("itemMenu.findSimilar.aria")}
+            onClick={findSimilar}
+          >
+            <MdImageSearch className="mr-2 size-4" />
+            <span>{t("itemMenu.findSimilar.label")}</span>
+          </MenuItem>
+        )}
       <MenuItem
         aria-label={t("itemMenu.deleteTrackedObject.label")}
         onClick={() => setDeleteDialogOpen(true)}
       >
+        <LuTrash2 className="mr-2 size-4" />
         <span>{t("button.delete", { ns: "common" })}</span>
       </MenuItem>
     </>

web/src/components/overlay/FaceSelectionDialog.tsx

@@ -12,7 +12,6 @@ import {
   DropdownMenuContent,
   DropdownMenuItem,
   DropdownMenuLabel,
-  DropdownMenuSeparator,
   DropdownMenuTrigger,
 } from "@/components/ui/dropdown-menu";
 import {
@@ -21,6 +20,7 @@ import {
   TooltipTrigger,
 } from "@/components/ui/tooltip";
 import { isDesktop, isMobile } from "react-device-detect";
+import { LuPlus, LuScanFace } from "react-icons/lu";
 import { useTranslation } from "react-i18next";
 import { cn } from "@/lib/utils";
 import React, { ReactNode, useMemo, useState } from "react";
@@ -89,26 +89,27 @@ export default function FaceSelectionDialog({
             <DropdownMenuLabel>{t("trainFaceAs")}</DropdownMenuLabel>
             <div
               className={cn(
-                "flex max-h-[40dvh] flex-col overflow-y-auto overflow-x-hidden",
+                "flex max-h-[40dvh] flex-col overflow-y-auto",
                 isMobile && "gap-2 pb-4",
               )}
             >
+              <SelectorItem
+                className="flex cursor-pointer gap-2 smart-capitalize"
+                onClick={() => setNewFace(true)}
+              >
+                <LuPlus />
+                {t("createFaceLibrary.new")}
+              </SelectorItem>
               {faceNames.sort().map((faceName) => (
                 <SelectorItem
                   key={faceName}
                   className="flex cursor-pointer gap-2 smart-capitalize"
                   onClick={() => onTrainAttempt(faceName)}
                 >
+                  <LuScanFace />
                   {faceName}
                 </SelectorItem>
               ))}
-              <DropdownMenuSeparator />
-              <SelectorItem
-                className="flex cursor-pointer gap-2 smart-capitalize"
-                onClick={() => setNewFace(true)}
-              >
-                {t("createFaceLibrary.new")}
-              </SelectorItem>
             </div>
           </SelectorContent>
         </Selector>

web/src/components/overlay/ImagePicker.tsx

@@ -171,18 +171,6 @@ export default function ImagePicker({
                       alt={selectedImage?.label || "Selected image"}
                       className="size-16 rounded object-cover"
                       onLoad={() => handleImageLoad(selectedImageId || "")}
-                      onError={(e) => {
-                        // If trigger thumbnail fails to load, fall back to event thumbnail
-                        if (!selectedImage) {
-                          const target = e.target as HTMLImageElement;
-                          if (
-                            target.src.includes("clips/triggers") &&
-                            selectedImageId
-                          ) {
-                            target.src = `${apiHost}api/events/${selectedImageId}/thumbnail.webp`;
-                          }
-                        }
-                      }}
                       loading="lazy"
                     />
                     {selectedImageId && !loadedImages.has(selectedImageId) && (

web/src/components/overlay/detail/TrackingDetails.tsx

@@ -1,6 +1,5 @@
 import useSWR from "swr";
 import { useCallback, useEffect, useMemo, useRef, useState } from "react";
-import { useResizeObserver } from "@/hooks/resize-observer";
 import { Event } from "@/types/event";
 import ActivityIndicator from "@/components/indicators/activity-indicator";
 import { TrackingDetailsSequence } from "@/types/timeline";
@@ -90,16 +89,9 @@ export function TrackingDetails({
   }, [manualOverride, currentTime, annotationOffset]);
 
   const containerRef = useRef<HTMLDivElement | null>(null);
-  const timelineContainerRef = useRef<HTMLDivElement | null>(null);
-  const rowRefs = useRef<(HTMLDivElement | null)[]>([]);
   const [_selectedZone, setSelectedZone] = useState("");
   const [_lifecycleZones, setLifecycleZones] = useState<string[]>([]);
   const [seekToTimestamp, setSeekToTimestamp] = useState<number | null>(null);
-  const [lineBottomOffsetPx, setLineBottomOffsetPx] = useState<number>(32);
-  const [lineTopOffsetPx, setLineTopOffsetPx] = useState<number>(8);
-  const [blueLineHeightPx, setBlueLineHeightPx] = useState<number>(0);
-
-  const [timelineSize] = useResizeObserver(timelineContainerRef);
 
   const aspectRatio = useMemo(() => {
     if (!config) {
@@ -233,6 +225,7 @@ export function TrackingDetails({
     if (effectiveTime === undefined || event.start_time === undefined) {
       return false;
     }
+
     // If an event has not ended yet, fall back to last timestamp in eventSequence
     let eventEnd = event.end_time;
     if (eventEnd == null && eventSequence && eventSequence.length > 0) {
@@ -245,58 +238,57 @@ export function TrackingDetails({
     if (eventEnd == null) {
       return false;
     }
+
     return effectiveTime >= event.start_time && effectiveTime <= eventEnd;
   }, [effectiveTime, event.start_time, event.end_time, eventSequence]);
 
-  // Dynamically compute pixel offsets so the timeline line starts at the
+  // Calculate how far down the blue line should extend based on effectiveTime
-  // first row midpoint and ends at the last row midpoint. For accuracy,
+  const calculateLineHeight = useCallback(() => {
-  // measure the center Y of each lifecycle row and interpolate the current
+    if (!eventSequence || eventSequence.length === 0 || !isWithinEventRange) {
-  // effective time into a pixel position; then set the blue line height
+      return 0;
-  // so it reaches the center dot at the same time the dot becomes active.
+    }
-  useEffect(() => {
-    if (!timelineContainerRef.current || !eventSequence) return;
 
-    const containerRect = timelineContainerRef.current.getBoundingClientRect();
+    const currentTime = effectiveTime ?? 0;
-    const validRefs = rowRefs.current.filter((r) => r !== null);
-    if (validRefs.length === 0) return;
 
-    const centers = validRefs.map((n) => {
+    // Find which events have been passed
-      const r = n.getBoundingClientRect();
+    let lastPassedIndex = -1;
-      return r.top + r.height / 2 - containerRect.top;
+    for (let i = 0; i < eventSequence.length; i++) {
-    });
+      if (currentTime >= (eventSequence[i].timestamp ?? 0)) {
-
+        lastPassedIndex = i;
-    const topOffset = Math.max(0, centers[0]);
+      } else {
-    const bottomOffset = Math.max(
+        break;
-      0,
-      containerRect.height - centers[centers.length - 1],
-    );
-
-    setLineTopOffsetPx(Math.round(topOffset));
-    setLineBottomOffsetPx(Math.round(bottomOffset));
-
-    const eff = effectiveTime ?? 0;
-    const timestamps = eventSequence.map((s) => s.timestamp ?? 0);
-
-    let pixelPos = centers[0];
-    if (eff <= timestamps[0]) {
-      pixelPos = centers[0];
-    } else if (eff >= timestamps[timestamps.length - 1]) {
-      pixelPos = centers[centers.length - 1];
-    } else {
-      for (let i = 0; i < timestamps.length - 1; i++) {
-        const t1 = timestamps[i];
-        const t2 = timestamps[i + 1];
-        if (eff >= t1 && eff <= t2) {
-          const ratio = t2 > t1 ? (eff - t1) / (t2 - t1) : 0;
-          pixelPos = centers[i] + ratio * (centers[i + 1] - centers[i]);
-          break;
-        }
       }
     }
 
-    const bluePx = Math.round(Math.max(0, pixelPos - topOffset));
+    // No events passed yet
-    setBlueLineHeightPx(bluePx);
+    if (lastPassedIndex < 0) return 0;
-  }, [eventSequence, timelineSize.width, timelineSize.height, effectiveTime]);
+
+    // All events passed
+    if (lastPassedIndex >= eventSequence.length - 1) return 100;
+
+    // Calculate percentage based on item position, not time
+    // Each item occupies an equal visual space regardless of time gaps
+    const itemPercentage = 100 / (eventSequence.length - 1);
+
+    // Find progress between current and next event for smooth transition
+    const currentEvent = eventSequence[lastPassedIndex];
+    const nextEvent = eventSequence[lastPassedIndex + 1];
+    const currentTimestamp = currentEvent.timestamp ?? 0;
+    const nextTimestamp = nextEvent.timestamp ?? 0;
+
+    // Calculate interpolation between the two events
+    const timeBetween = nextTimestamp - currentTimestamp;
+    const timeElapsed = currentTime - currentTimestamp;
+    const interpolation = timeBetween > 0 ? timeElapsed / timeBetween : 0;
+
+    // Base position plus interpolated progress to next item
+    return Math.min(
+      100,
+      lastPassedIndex * itemPercentage + interpolation * itemPercentage,
+    );
+  }, [eventSequence, effectiveTime, isWithinEventRange]);
+
+  const blueLineHeight = calculateLineHeight();
 
   const videoSource = useMemo(() => {
     // event.start_time and event.end_time are in DETECT stream time
@@ -553,21 +545,12 @@ export function TrackingDetails({
                     {t("detail.noObjectDetailData", { ns: "views/events" })}
                   </div>
                 ) : (
-                  <div
+                  <div className="-pb-2 relative mx-0">
-                    className="-pb-2 relative mx-0"
+                    <div className="absolute -top-2 bottom-8 left-6 z-0 w-0.5 -translate-x-1/2 bg-secondary-foreground" />
-                    ref={timelineContainerRef}
-                  >
-                    <div
-                      className="absolute -top-2 left-6 z-0 w-0.5 -translate-x-1/2 bg-secondary-foreground"
-                      style={{ bottom: lineBottomOffsetPx }}
-                    />
                     {isWithinEventRange && (
                       <div
-                        className="absolute left-6 z-[5] w-0.5 -translate-x-1/2 bg-selected transition-all duration-300"
+                        className="absolute left-6 top-2 z-[5] max-h-[calc(100%-3rem)] w-0.5 -translate-x-1/2 bg-selected transition-all duration-300"
-                        style={{
+                        style={{ height: `${blueLineHeight}%` }}
-                          top: `${lineTopOffsetPx}px`,
-                          height: `${blueLineHeightPx}px`,
-                        }}
                       />
                     )}
                     <div className="space-y-2">
@@ -620,26 +603,20 @@ export function TrackingDetails({
                             : undefined;
 
                         return (
-                          <div
+                          <LifecycleIconRow
                             key={`${item.timestamp}-${item.source_id ?? ""}-${idx}`}
-                            ref={(el) => {
+                            item={item}
-                              rowRefs.current[idx] = el;
+                            isActive={isActive}
-                            }}
+                            formattedEventTimestamp={formattedEventTimestamp}
-                          >
+                            ratio={ratio}
-                            <LifecycleIconRow
+                            areaPx={areaPx}
-                              item={item}
+                            areaPct={areaPct}
-                              isActive={isActive}
+                            onClick={() => handleLifecycleClick(item)}
-                              formattedEventTimestamp={formattedEventTimestamp}
+                            setSelectedZone={setSelectedZone}
-                              ratio={ratio}
+                            getZoneColor={getZoneColor}
-                              areaPx={areaPx}
+                            effectiveTime={effectiveTime}
-                              areaPct={areaPct}
+                            isTimelineActive={isWithinEventRange}
-                              onClick={() => handleLifecycleClick(item)}
+                          />
-                              setSelectedZone={setSelectedZone}
-                              getZoneColor={getZoneColor}
-                              effectiveTime={effectiveTime}
-                              isTimelineActive={isWithinEventRange}
-                            />
-                          </div>
                         );
                       })}
                     </div>

web/src/pages/FaceLibrary.tsx

@@ -57,6 +57,7 @@ import { Trans, useTranslation } from "react-i18next";
 import {
   LuFolderCheck,
   LuImagePlus,
+  LuPencil,
   LuRefreshCw,
   LuScanFace,
   LuTrash2,
@@ -579,7 +580,9 @@ function LibrarySelector({
                         e.stopPropagation();
                         setRenameFace(face);
                       }}
-                    ></Button>
+                    >
+                      <LuPencil className="size-4 text-primary" />
+                    </Button>
                   </TooltipTrigger>
                   <TooltipPortal>
                     <TooltipContent>{t("button.renameFace")}</TooltipContent>
@@ -595,7 +598,9 @@ function LibrarySelector({
                         e.stopPropagation();
                         setConfirmDelete(face);
                       }}
-                    ></Button>
+                    >
+                      <LuTrash2 className="size-4 text-destructive" />
+                    </Button>
                   </TooltipTrigger>
                   <TooltipPortal>
                     <TooltipContent>{t("button.deleteFace")}</TooltipContent>

web/src/views/classification/ModelSelectionView.tsx

@@ -16,6 +16,7 @@ import { useCallback, useEffect, useMemo, useState } from "react";
 import { useTranslation } from "react-i18next";
 import { FaFolderPlus } from "react-icons/fa";
 import { MdModelTraining } from "react-icons/md";
+import { LuPencil, LuTrash2 } from "react-icons/lu";
 import { FiMoreVertical } from "react-icons/fi";
 import useSWR from "swr";
 import Heading from "@/components/ui/heading";
@@ -351,9 +352,11 @@ function ModelCard({ config, onClick, onUpdate, onDelete }: ModelCardProps) {
               onClick={(e) => e.stopPropagation()}
             >
               <DropdownMenuItem onClick={handleEditClick}>
+                <LuPencil className="mr-2 size-4" />
                 <span>{t("button.edit", { ns: "common" })}</span>
               </DropdownMenuItem>
               <DropdownMenuItem onClick={handleDeleteClick}>
+                <LuTrash2 className="mr-2 size-4" />
                 <span>{t("button.delete", { ns: "common" })}</span>
               </DropdownMenuItem>
             </DropdownMenuContent>

web/src/views/settings/TriggerView.tsx

@@ -201,17 +201,12 @@ export default function TriggerView({
               .then((configResponse) => {
                 if (configResponse.status === 200) {
                   updateConfig();
-                  const displayName =
-                    friendly_name && friendly_name !== ""
-                      ? `${friendly_name} (${name})`
-                      : name;
-
                   toast.success(
                     t(
                       isEdit
                         ? "triggers.toast.success.updateTrigger"
                         : "triggers.toast.success.createTrigger",
-                      { name: displayName },
+                      { name },
                     ),
                     { position: "top-center" },
                   );
@@ -356,19 +351,8 @@ export default function TriggerView({
               .then((configResponse) => {
                 if (configResponse.status === 200) {
                   updateConfig();
-                  const friendly =
-                    config?.cameras?.[selectedCamera]?.semantic_search
-                      ?.triggers?.[name]?.friendly_name;
-
-                  const displayName =
-                    friendly && friendly !== ""
-                      ? `${friendly} (${name})`
-                      : name;
-
                   toast.success(
-                    t("triggers.toast.success.deleteTrigger", {
+                    t("triggers.toast.success.deleteTrigger", { name }),
-                      name: displayName,
-                    }),
                     {
                       position: "top-center",
                     },
@@ -397,7 +381,7 @@ export default function TriggerView({
           setIsLoading(false);
         });
     },
-    [t, updateConfig, selectedCamera, setUnsavedChanges, config],
+    [t, updateConfig, selectedCamera, setUnsavedChanges],
   );
 
   useEffect(() => {
@@ -859,14 +843,7 @@ export default function TriggerView({
       />
       <DeleteTriggerDialog
         show={showDelete}
-        triggerName={
+        triggerName={selectedTrigger?.name ?? ""}
-          selectedTrigger
-            ? selectedTrigger.friendly_name &&
-              selectedTrigger.friendly_name !== ""
-              ? `${selectedTrigger.friendly_name} (${selectedTrigger.name})`
-              : selectedTrigger.name
-            : ""
-        }
         isLoading={isLoading}
         onCancel={() => {
           setShowDelete(false);