Events Examples

[
  {
    "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx-XXXXXXXXXX",
    "startTime": "2025-02-24T23:54:00.841+00:00",
    "endTime": "2025-02-24T23:59:00.841+00:00",
    "type": "bookmark",
    "subtype": "ai-lineCrossing",
    "title": "Entrance & Exit Count",
    "subtitle": "AI Parser @ Store XXXXX",
    "deviceId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
    "locationTags": [],
    "createTime": "2025-02-25T00:09:18.180+00:00",
    "details": {
      "Order duration": 300,
      "confirmed": false,
      "origin": "connect-ai/line_crossing",
      "localTime": 1854,
      "lineLabel": "XXXXX",
      "debounceValue": 500,
      "lineCrossingEventType": "entrance_and_exit",
      "lineCrossingsIn": 3,
      "lineCrossingsOut": 2,
      "generatedByEventStandard": true,
      "marker": "ai-lineCrossing"
    },
    "cameras": [
      {
        "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
        "name": "XXXXXX"
      }
    ]
  }
]

[
  {
    "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx-XXXXXXXXXX",
    "startTime": "2025-02-24T21:58:22.131+00:00",
    "endTime": "2025-02-24T22:00:13.882+00:00",
    "type": "bookmark",
    "subtype": "ai-zoneTracking",
    "title": "Queue",
    "subtitle": "AI @ Store XXXXX",
    "deviceId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
    "locationTags": [],
    "createTime": "2025-02-24T22:00:44.766+00:00",
    "details": {
      "duration_sec": 112,
      "Order duration": 111,
      "confirmed": false,
      "origin": "connect-ai/line_crossing",
      "localTime": 1658,
      "zoneTrackingEventType": "queue",
      "zoneTrackingThresholdMin": 60,
      "zoneTime": 112,
      "zoneLabel": "XXXXX",
      "generatedByEventStandard": true,
      "marker": "ai-zoneTracking"
    },
    "cameras": [
      {
        "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
        "name": "XXXXXX"
      }
    ]
  }
]

[
    {
        "id": "f76a053e-bcc1-4bdb-9388-73b8195e8236",
        "startTime": "2024-12-02T23:01:31.944+00:00",
        "endTime": "2024-12-02T23:01:31.944+00:00",
        ...
        "title": "Abandoned Objects and Obstructions - Spot Check Preview",
        "subtitle": "Spot Check - Preview",
        "deviceId": "1ef2af40-1305-11ef-a011-eb490d2d323a",
        "locationTags": [],
        "createTime": "2024-12-02T23:01:40.636+00:00",
        "details": {
            ...
            "scheduledActivity": {
                "title": "Abandoned Objects and Obstructions - Spot Check Preview",
                "reason": "scheduled-ai-chat",
                "metadata": {
                    "aiChatPrompt": "Task: Analyze security images to identify any abandoned objects or obstructions in the store.\nInstructions:\n1. Scan the Aisle Floors:\n  • Look for any items lying on the floor that are not part of the regular store setup, such as:\n  • Small merchandise (e.g., bottles, boxes, clothing items).\n  • Debris or trash (e.g., packaging materials, spilled products).\n  • Exclude items that are part of permanent fixtures or displays.\n2. Examine the Aisle Pathways:\n  • Identify any larger objects obstructing the pathways, such as:\n  • Abandoned shopping carts.\n  • Dollies or hand trucks left unattended.\n  • Step ladders not in active use.\n  • Misplaced merchandise racks.\n  • Determine if these objects are out of place or not part of the organized store layout.\n3. Check for Obstructed Hallways and Exits:\n  • Verify that all hallways and exit routes have at least 3 feet (0.91 meters) of clear egress, as per OSHA regulations.\n  • Look for any items blocking doors, emergency exits, or marked pathways.\nNotes:\n  • Focus on items not part of the regular store setup that could impede movement or violate safety regulations.\n  • Ensure hallways and exits have at least 3 feet of clear egress as per OSHA regulations.\n  • Be precise and concise in your descriptions.\n\nOnly list the cameras where abandoned objects or obstructions were identified and your confidence is above 90%. If your confidence is less than 90%, say \"More information required\".",
                    "aiChatAnswerFormat": "Location: Specify the overall location\nFor Each Camera in the Location:\n• Camera [Name/Identifier]:\n• State: \"Obstruction detected\" or \"No obstructions detected.\"\n• If Obstruction Detected:\n• Description: Briefly describe the obstruction.\nOnly if 100% of cameras have \"No obstructions detected\" respond with \"Aisles appear clear\".",
                    ...
                    "aiChatAnswers": "[A] Location: QA-147 Regression\n\nCamera HIK 187:\nState: Obstruction detected.\nDescription: Two chairs are positioned in a way that may obstruct the pathway."
                },
                "schedule": "1 * * * *",
                "reoccurringCount": 1
            },
            ...
        },
        "cameras": [
            {
                "id": "9dbd2e40-1305-11ef-a51e-dd22323cce04",
                "name": "HIK 187"
            }
        ]
    }
]