Event

Event Notification

Receive live event data from NVR.

Notification URL

To get event notification, request the following:

GET /api/events/notify

This is an example response to the above request.

HTTP/1.1 200 OK
Content-Type: text/event-stream
Cache-Control: no-cache

event: event
data: {"type":0,"timestamp":1489664896,"devices":[45]}

event: event
data: {"type":0,"timestamp":1489664896,"devices":[30]}

event: event
data: {"type":0,"timestamp":1489664896,"devices":[107]}

: keep-alive

...

You can use EventSource in web browsers like:

let eventSource = new EventSource('/api/events/notify');
eventSource.onopen = function () {
  console.log('open');
};
eventSource.addEventListener("event", function (event) {
  console.log('event: ' + event.data);
});
eventSource.onerror = function (error) {
  console.log(error);
};

You can read HTML5 SSE(Server-Sent Events) specification and 'Using server-sent events' document for more details.

Notification Parameters

When you request a notification, you can specify the filter parameters as follows:

  • types : event types (default: *, start from 0)
  • devices : device numbers (default: *, start from 0)

Event types and device numbers can be described like 0,3-4,7.

For example, you can request notification only for LPR events like:

GET /api/events/notify?types=33

The : keep-alive comment is used for checking connections.

Search event data saved in NVR.

Authentication

HTTP Basic / Digest authentication is required. The user must have permission to search recording data.

Search URL

To get the all events, request the following:

GET /api/events

This is an example response to the above request.

HTTP/1.1 200 OK
Content-Type: application/json

{
  "total":69096,
  "offset":0,
  "limit":10,
  "events": [
    { "type":30, "timestamp":1487071279, "devices":[79] },
    { "type":9, "timestamp":1487071279, "devices":[79] },
    { "type":33, "timestamp":1487563829, "devices":[115],
      "lpr": {"lpn":"35오2115", "place":"test"} }
    ...
  ]
}

Search Parameters

When you request a search, you can specify the search parameters as follows:

  • types: event types (default: *, start from 0)
  • devices : device numbers (default: *, start from 0)
  • sort : sort type (default: 0, see below)
  • since : YYYY-MM-DD or YYYY-MM-DDtHH:MM:SS format (default: NULL)
  • until : YYYY-MM-DD or YYYY-MM-DDtHH:MM:SS format (default: NULL)
  • limit : the maximum number of search result (default: 10, 1~1000)
  • total : get the total number of events (default: false) (slower)
  • offset : the offset of search result (default: 0)
  • last : last rowid/timestamp of search result (default: NULL) (ex: rowid:12345678,timestamp:1531094400)

Event types and device numbers can be described like 0,3-4,7.

For example, you can request a search like:

GET /api/events?types=33&since=2017-02-20

Sort Types

ValueDescription
0TIME_DESCENDING
1TIME_ASCENDING
2EVENT_TYPE
3DEVICE_NUMBER

Extra Parameters

  • lpr_lpn: (default: NULL)
  • lpr_place: (default: NULL)
  • lpr_speed: direction (default: 0)
  • lpr_velocity: (default: 0)
  • lpr_lane: (default: NULL)
  • seaky_pos: (default: -1)
  • seaky_bill: (default: -1)
  • seaky_code: (default: -1)
  • elevator_id: (default: -1)
  • elevator_floor: (default: -1000)
  • elevator_direction: (default: -1)
  • elevator_door: (default: -1)
  • elevator_stator: (default: -1)
  • bill_id: (default: NULL)
  • bill_count: (default: NULL)
  • bill_account: (default: NULL)
  • bill_status: (default: -1)
  • bill_protocol: (default: -1)
  • bmetro_type: (default: -1)
  • bmetro_station: (default: -1)
  • audio_detect_high: (default: -1)
  • audio_detect_low: (default: -1)
  • audio_detect_category: (default: -1)
  • axis_vca_type: (default: -1)
  • axis_vca_scenario: (default: NULL)
  • axis_vca_object: (default: 0)
  • axis_vca_vehicle: (default: 0)
  • safemate_type: (default: -1)
  • safemate_desc: (default: NULL)
  • intellivix_vca_type: (default: -1)
  • intellivix_vca_zone: (default: NULL)
  • doowon_vca_type: (default: -1)
  • doowon_vca_place: (default: NULL)
  • thermal_type: (default: -1)
  • thermal_temperature_range: (default: NULL)
  • thermal_name: (default: NULL)
  • heartbeat_name: (default: NULL)
  • wisenet_vca_type: (default: -1)
  • wisenet_vca_place: (default: NULL)
  • wisenet_vca_count: (default: 0)
  • wisenet_vca_count_type: (default: 0)
  • wisenet_vca_detection_level: (default: 0)
  • optex_sensor: (default: NULL)
  • truen_vca_type: (default: -1)
  • truen_vca_rule: (default: NULL)
  • truen_vca_object: (default: 0)
  • truen_vca_count: (default: 0)
  • truen_vca_crowd_level: (default: 0)
  • face_groups: (default: NULL)
  • face_comment: (default: NULL)
  • face_temperature: (default: NULL)
  • face_mask: (default: -1)
  • face_temperature_type: (default: 0)
  • michang_type: (default: 0)
  • michang_state: (default: 0)
  • michang_repeater: (default: 0)
  • michang_sensor: (default: 0)
  • michang_place: (default: NULL)
  • michang_fire_type: (default: 0)
  • ivs_type: (default: 0)
  • itx_ai_type: (default: 0)
  • itx_ai_place: (default: NULL)
  • itx_ai_direction: (default: 0)
  • itx_ai_object_type: (default: 0)
  • antkr_type: (default: 0)
  • bestshot_object: (default: 0)
  • bestshot_vehicle: (default: 0)
  • bestshot_color: (default: 0)
  • bestshot_color2: (default: 0)
  • bestshot_gender: (default: 0)
  • bestshot_age: (default: 0)
  • bestshot_mask: (default: 0)
  • bestshot_opticals: (default: 0)
  • bestshot_bag: (default: 0)
  • ptz_preset_id: (default: 0)
  • ptz_preset_name: (default: NULL)
  • nexreal_ai_type: (default: 0)
  • nexreal_ai_object: (default: 0)
  • onvif_va_object: (default: 0)
  • onvif_va_vehicle: (default: 0)
  • onvif_va_color: (default: 0)
  • onvif_va_color2: (default: 0)
  • onvif_va_gender: (default: 0)
  • onvif_va_age: (default: 0)
  • onvif_va_mask: (default: 0)
  • onvif_va_opticals: (default: 0)
  • onvif_va_bag: (default: 0)
  • truen_ai_object: (default: 0)
  • truen_ai_vehicle: (default: 0)
  • truen_ai_color: (default: 0)
  • truen_ai_color2: (default: 0)
  • truen_ai_gender: (default: 0)
  • truen_ai_mask: (default: 0)
  • truen_ai_opticals: (default: 0)
  • truen_ai_bag: (default: 0)
  • truen_ai_plate_number: (default: NULL)
  • truen_ai_speed: (default: NULL)
  • emda_ai_type: (default: 0)
  • emda_ai_name: (default: NULL)
  • emda_ai_object: (default: 0)
  • emda_ai_direction: (default: 0)
  • emda_ai_human_gender: (default: 0)
  • emda_ai_human_age: (default: NULL)
  • emda_ai_human_up_clothes: (default: 0)
  • emda_ai_human_up_color: (default: 0)
  • emda_ai_human_down_clothes: (default: 0)
  • emda_ai_human_down_color: (default: 0)
  • emda_ai_human_hairstyle: (default: 0)
  • emda_ai_vehicle_type: (default: 0)
  • emda_ai_vehicle_color: (default: 0)
  • emda_ai_vehicle_brand: (default: NULL)
  • emda_ai_plate_color: (default: 0)
  • emda_ai_plate_number: (default: NULL)
  • emda_ai_face_age: (default: NULL)
  • emda_ai_face_gender: (default: 0)
  • emda_ai_face_beard: (default: 0)
  • emda_ai_face_mask: (default: 0)
  • parking_type: (default: 0)
  • parking_lane_id: (default: 0)
  • parking_lane_name: (default: NULL)
  • parking_lpn: (default: NULL)
  • intellivix_ai_type: (default: 0)
  • intellivix_ai_object: (default: 0)
  • intellivix_ai_vehicle_type: (default: 0)
  • intellivix_ai_vehicle_plate_number: (default: NULL)
  • intellivix_ai_person_gender: (default: 0)
  • intellivix_ai_person_ages: (default: 0)
  • intellivix_ai_person_bag: (default: 0)
  • intellivix_ai_person_sleeves: (default: 0)
  • intellivix_ai_person_up_clothes: (default: 0)
  • intellivix_ai_person_down_clothes: (default: 0)
  • intellivix_ai_person_white_cane: (default: 0)
  • intellivix_ai_head_hat: (default: 0)
  • intellivix_ai_head_glasses: (default: 0)
  • intellivix_ai_head_mask: (default: 0)
  • intellivix_ai_head_safety_helmet: (default: 0)
  • posco_ai_type: (default: 0)
  • posco_ai_voice: (default: 0)
  • posco_ai_hot_rolling_2nd_type : (default: 0)
  • posco_ai_hot_rolling_2nd_model_id : (default: NULL)
  • posco_ai_hot_rolling_2nd_video_id : (default: NULL)
  • posco_ai_hot_rolling_2nd_time : (default: NULL)
  • elsworks_ai_type: (default: 0)
  • elsworks_ai_object: (default: 0)
  • critical_type: (default: 0)
  • ycx_ai_object: (default: 0)
  • critical_system_type: (default: 0)
  • micro_ai_type: (default: 0)
  • micro_ai_object: (default: 0)
  • micro_ai_direction: (default: 0)
  • avycon_type: (default: 0)
  • tiandy_ai_type: (default: 0)
  • tiandy_ai_rule_type: (default: 0)
  • kmt_radar_id: (default: -1)
  • kmt_radar_distance: (default: 0)
  • kmt_radar_tamper: (default: 0)
  • chaja_type: (default: 0)
  • chaja_object: (default: 0)
  • chaja_up_color: (default: 0)
  • chaja_down_color: (default: 0)
  • chaja_speed: (default: 0)
  • chaja_count: (default: 0)
  • chaja_name: (default: NULL)
  • neotech_ai_type: (default: 0)
  • hikvision_ai_type: (default: 0)
  • hikvision_ai_target: (default: 0)
  • hikvision_ai_region: (default: NULL)
  • hikvision_ai_thermal_type: (default: 0)
  • hikvision_ai_thermal_temperature: (default: NULL)
  • hikvision_ai_audio_type: (default: 0)
  • nextk_type: (default: 0)
  • nextk_face_age: (default: 0)
  • nextk_face_gender: (default: 0)
  • nextk_face_identify: (default: 0)
  • nextk_face_memo: (default: NULL)
  • nextk_face_name: (default: NULL)
  • itx_bridge_type: (default: 0)
  • itx_bridge_object: (default: 0)
  • itx_bridge_count: (default: 0)
  • mgict_type: (default: 0)
  • mgict_sub_type: (default: 0)
  • mgict_device: (default: 0)
  • mgict_state: (default: 0)
  • force_recording_action: (default: 0)
  • hatsal_state: (default: 0)
  • hwasung_type: (default: 0)
  • hwasung_object: (default: 0)
  • rex_va_type: (default: 0)
  • rex_va_object: (default: 0)
  • aibis_type: (default: 0)
  • emstone_ai_type: (default: 0)
  • emstone_ai_zone: (default: NULL)
  • emstone_ai_count: (default: NULL)
  • emstone_ai_ingress: (default: NULL)
  • emstone_ai_egress: (default: NULL)
  • emstone_ai_passerby: (default: 0)
  • emstone_ai_ppe: (default: 0)
  • antkr_ai_type: (default: 0)
  • antkr_ai_object: (default: 0)
  • daom_type: (default: 0)
  • daom_state: (default: 0)
  • tootoo_ai_type: (default: 0)
  • tootoo_ai_object: (default: 0)
  • bestdigital_ai_type: (default: 0)
  • bestdigital_ai_object: (default: 0)
  • empd_ai_type: (default: 0)
  • empd_ai_object: (default: 0)
  • cranberry_type: (default: 0)
  • arslooper_type: (default: 0) (event_code)
  • neosecu_type: (default: 0)
  • neosecu_name: (default: NULL)
  • uniview_type: (default: 0)
  • uniview_object: (default: 0)
  • uniview_up_color: (default: 0)
  • uniview_down_color: (default: 0)
  • uniview_count_in: (default: 0)
  • uniview_count_out: (default: 0)

Event Push

Push event data to NVR.

Authentication

HTTP Basic / Digest authentication is required. The user must have permission to search recording data.

Push URL

Post the event data in JSON format like the following:

POST /api/events
Content-Type: application/json
Content-Length: 39

{
  "type": 1,
  "devices": [ 0, 1 ]
}

The field type and devices are required.

You can specify source_address for IP camera address instead of devices:

POST /api/events
Content-Type: application/json
Content-Length: 52

{
  "type": 0,
  "source_address": "192.168.0.31"
}

Example responses for the request:

HTTP/1.1 200 OK
Content-Length: 23
Content-Type: application/json

{ "reason":"success" }

or

HTTP/1.1 400 Bad Request
Content-Length: 36
Content-Type: application/json

{ "reason": "invalid event 'type'" }

LPR

{
  "type": 33,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "lpr": {
    "lpn": "37...2115",
    "place": "Door",
    "speed": 1,
    "velocity": 60,
    "lane": "The first",
    "coordinates": "120.000000,36.00000",
    "facility": "FCLT0001",
    "car_image_type": "image/jpeg",
    "car_image_data": "..."
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}
  • lpn: License Plate Number
  • place: Place (optional)
  • speed: Direction, 1 or -1 (optional)
  • velocity: Speed in Km (optional)
  • lane: Lane (optional)
  • coordinates: Coordinates for logitude and latitude (optional)
  • facility: Facility ID (optional)
  • car_image_type: Car image file type (optional)
  • car_image_data: Car image file data, base64 encoded (optional)
  • file_type: Plate image file type (optional)
  • file_data: Plate image file data, base64 encoded (optional)

Note that both file_type and file_data must be specifed for image file.

Audio Detection

{
  "type": 41,
  "devices": [ 0 ],
  "audio": {
    "high": 1,
    "low": 1,
    "category": 1
  }
}

  • high: High voice detection (1 or 0)

  • low: Low voice detection (1 or 0)

  • category: See table below

    ValueDescription
    1Scream
    2Gunshot
    3Explosion
    4Glass Break

Wisenet Bestshot

{
  "type": 56,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "bestshot": {
    "object": 2,
    "vehicle": 0,
    "color": 3,
    "color2": 2,
    "second_color": 3,
    "second_color2": 0,
    "gender": 2,
    "age": 0,
    "mask": 0,
    "opticals": 0,
    "bag": 0,
    "object_id": 0,
    "parent_id": 0,
    "plate_number": "",
    "speed": 0.0
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • object: Object type

    ValueDescription
    1Unknown
    2Person
    3Face
    4Vehicle
    5LicensePlate

  • vehicle: Vehicle type (optional)

    ValueDescription
    1Unknown
    2Car
    3Bus
    4Truck
    5Motorcycle
    6Bicycle

  • color: Object first color (optional)

  • color2: Object second color (optional)

  • second_color: Person bottoms first color (optional)

  • second_color2: Person bottoms second color (optional)

    ValueDescription
    1Unknown
    2Black
    3Gray
    4White
    5Red
    6Orange
    7Yellow
    8Green
    9Blue
    10Purple

  • gender: Gender type (optional)

    ValueDescription
    1Unknown
    2Male
    3Female

  • age: Age type (optional)

    ValueDescription
    1Unknown
    2Young
    3Adult
    4Middle
    5Senior

  • mask: Whether or not to wear a mask (optional)

  • opticals: Whether or not to wear opticals (optional)

    ValueDescription
    1Worn
    2Not Worn

  • bag: Bag type (optional)

    ValueDescription
    1Unknown
    2Bag
    3Backpack
    4Handbag
    5Shoulder bag
    6Cross bag

  • object_id: Object ID (optional)

  • parent_id: Object parent ID (optional)

  • plate_number: License Plate Number (optional)

  • speed: Speed in Km (optional)

Note that both file_type and file_data must be specifed for image file.

Wisenet VCA

{
  "type": 49,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "wisenet": {
    "type": 4,
    "place": "name",
    "count": 0
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • type: Wisenet VCA event type

    ValueDescription
    0Passing
    1Intrusion
    2Entering
    3Exiting
    4Appearing
    5Loitering
    6Tampering
    7Shock
    8Crowd Counting
    9People Counting
    10Vehicle Counting
    11Falling
    12Face Mask Detection
    13Social Distancing Detection
    14Queue Management

  • place: Event place (optional)

  • count: Event count (optional)

Note that both file_type and file_data must be specifed for image file.

Truen AI

{
  "type": 60,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "truen_ai": {
    "object": 2,
    "vehicle": 0,
    "color": 3,
    "color2": 2,
    "second_color": 3,
    "second_color2": 0,
    "gender": 2,
    "age": 0,
    "mask": 0,
    "opticals": 0,
    "bag": 0,
    "object_id": 0,
    "parent_id": 0,
    "plate_number": "",
    "speed": 0.0
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

The detailed conditions are the same as Wisenet Bestshot.

Note that both file_type and file_data must be specifed for image file.

Truen VCA

{
  "type": 50,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "wisenet": {
    "type": 11,
    "rule": "abc",
    "object": 0,
    "count": 7,
    "crowd_level": 3
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • type: Truen VCA event type

    ValueDescription
    0Line Crossing
    1Intrusion
    2Tampering
    3Appearing
    4Stay
    5Exiting
    6Loitering
    7Falling
    8Fighting
    9Directional Motion
    10Line Counting
    11Crowd Counting

  • rule: Event rule name (optional)

  • object: Object type (optional)

    ValueDescription
    1Human
    2Bicycle
    3Car

  • count: Event count (optional)

  • crowd_level: Crowd counting Event level (optional)

    ValueDescription
    1Good
    2Normal
    3Caution
    4Danger

Note that both file_type and file_data must be specifed for image file.

ITX Bridge

{
  "type": 78,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "itx_bridge": {
    "type": 3,
    "object": 2,
    "count": 5,
    "memo": "memo"
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • type: ITX Bridge event type

    ValueDescription
    1Intrusion
    2Loitering
    3Fence
    4People Counting
    5Stopped
    6Fire & Smoke
    7Violence
    8Fallen
    9Bullying
    10Crowd Detection
    11Zone Counting
    12Stay & Go
    13Occupancy Counting
    14Illegal Dumping
    15Human Prolonged Stay
    16Vehicle Type Counting

  • object: Object type (optional)

    ValueDescription
    1Car
    2Bike
    3Person

  • count: Event count (optional)

  • memo: Etc message (optional)

Note that both file_type and file_data must be specifed for image file.

Chaja

{
  "type": 74,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "chaja": {
    "type": 3,
    "object": 2,
    "up_color": 5,
    "down_color": 5,
    "speed": 3,
    "count": 9,
    "name": "name"
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • type: Event type

    ValueDescription
    1Presence
    2Enter
    3Exit
    4Appear
    5Abandoned
    6Disappear
    7Stopped
    8Dwell
    9Direction
    10Fall
    11Speed
    12Tailgating
    13Line Counter A
    14Line Counter B
    15Object Dection
    16AI (and, or, not, continuously, previous, repeatedly, retrigger, count)
    17Fire
    18Fight

  • object: Object type (optional)

    ValueDescription
    1Car
    2Motorcycle
    3Person
    4Bag
    5Bicycle
    6Boat
    7Forklift
    8Truck
    9Van

  • up_color: Top color, Object color (optional)

  • down_color: Bottom color (optional)

    ValueDescription
    1Black
    2Blue
    3Brown
    4Cyan
    5Green
    6Grey
    7Magenta
    8Red
    9White
    10Yellow

  • speed: Speed in Km (optional)

  • count: Ai count (optional)

  • name: Zone name (optional)

Note that both file_type and file_data must be specifed for image file.

Arslooper

http://ip-address:3091/api/events/arslooper

{
  "train_event": {
    "channel": 0,
    "event_code": 1,
    "popup_time": 1
  }
}

  • channel: Camera number (e.g., 0)

  • event_code: Event type

    ValueDescription
    1Train Approach

  • popup_time: Event pop-up duration

    ValueDescription
    0Maintain pop-up state (no timeout)
    1~255Timeout duration in minutes

NEOSECU

{
  "type": 93,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "neosecu": {
    "type": 1,
    "name": "name"
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • type: Event type

    ValueDescription
    1Face Recognition
    2Door Open
    3Door Close
    4Call

  • name: Enrollment user name (optional)

Note that both file_type and file_data must be specifed for image file.

Uniview AI

{
  "type": 94,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "uniview": {
    "type": 1,
    "object": 1,
    "up_color": 9,
    "down_color": 2,
    "count_in": 3,
    "count_out": 12
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

  • type: Event type

    ValueDescription
    1Enter
    2Leave
    3Line Cross
    4Intrusion
    5Face Recognition
    6People Counting

  • object: Object type (optional)

    ValueDescription
    1Person
    2Vehicle
    3NonMotor
    4Face

  • up_color: Top color, Object color (optional)

  • down_color: Bottom color (optional)

    ValueDescription
    1Black
    2White
    3Grey
    4Red
    5Blue
    6Yellow
    7Orange
    8Brown
    9Green
    10Purple
    11Cyan
    12Pink
    13Transparent
    14Silvery White
    15Dark Colors
    16Light Colors
    17Color Less
    18Yellow Green Two Tone
    19Gradient Green
    20Other

  • count_in: AI In count (optional)

  • count_out: AI Out count (optional)

Note that both file_type and file_data must be specifed for image file.

SVG

Post the event overlay SVG images like the following:

POST /api/events/svg
Content-Length: ...

<svg id="lpn" channels="0" viewBox="0 0 1920 1080">
  ...
</svg>

<svg> tags must have id, channels and viewBox attributes as following:

  • id: event name like 'lpn', 'thermal', etc..
  • viewBox: the position and dimension (DO NOT USE width, height ATTRIBUTES!)
  • duration: clear SVG for id after n seconds (default is 0, never)
  • channels: camera numbers (start from 0)
  • source-address: camera IP address

You can specify source-address instead of channels attribute.

This is an example of drawing text.

You can read 'Texts of SVG tutorial' document for more details.

<svg id="lpn" channels="0" viewBox="0 0 1920 1080">
  // outline
  <text font-family="sans"
        font-style="normal"
        font-weight="bold"
        stroke="rgb(0,0,0)"
        stroke-opacity="0.3"
        stroke-width="2.0"
        stroke-linecap="butt"
        stroke-linejoin="miter"
        text-anchor="start"
        x="1000" y="370" font-size="30">
    <tspan x="1000" y="370">12가 3456</tspan>
  </text>

  // fill
  <text font-family="sans"
        font-style="normal"
        font-weight="bold"
        fill="rgb(255,255,255)"
        fill-opacity="1"
        text-anchor="start"
        x="1000" y="370" font-size="30">
    <tspan x="1000" y="370">12가 3456</tspan>
  </text>
</svg>

This is an example of drawing polygon.

You can read 'Polygon of SVG element' document for more details.

<polygon style="fill-opacity:0;
                fill:rgb(0,128,0);
                stroke:rgb(0,0,255);
                stroke-opacity:0.8;
                stroke-width:5.0;
                stroke-dasharray:15,6"
 points="100,400 200,500 300,400 300,800 200,700 100,800" />

Event Types

CodeNameDescription
*allAll Events
0motionMotion Detection
1sensorSensor (Digital Input)
2alarmAlarm (Digital Output)
3diskDisk Error
4video_lossCamera Signal Loss
5host-onlineHost Online
6host-offlineHost Offline
7smartDisk SMART
8video_recoveryCamera Signal Recovery
9vca-presenceVCA Presence
10vca-enterVCA Enter
11vca-exitVCA Exit
12vca-appearVCA Appear
13vca-disappearVCA Disappear
14vca-stopVCA Stop
15vca-dwellVCA Dwell
16vca-directionVCA Direction
17vca-speedVCA Speed
18vca-areaVCA Area
19vca-abobjVCA Abandoned Object
20vca-rmobjVCA Removed Object
21vca-abrmobjVCA Abandoned / Removed Object
22vca-tailgatingVCA Tailgating
23vca-linecounteraVCA Counting Line: Direction A
24vca-linecounterbVCA Counting Line: Direction B
25vca-customVCA Custom
26vca-colfilterVCA Color Filter
27vca-smokeVCA Smoke
28vca-fireVCA Fire
29vca-tamperVCA Tamper
30vca-counterVCA Counter
31devalarmDevice Alarm
32emcallEmergency Call
33lprLicense Plate Recognition
34seakySEAKY POS
35elevatorElevator
36232posPOS
37flameFlame
38smokeSmoke
39billBill Counter
40bmetroBusan Metro
41audio-detectAudio Detection
42axis-vcaAxis VCA
43safemateSafe Mate
44intellivix-vcaIntelliVIX VCA
45doowon-vcaDoowon VCA
46thermalThermal
47optexSection Sensor
48heartbeatHeartbeat Sensor
49wisenet-vcaWisenet VCA
50truen-vcaTruen VCA
51faceFace Recognition
52michangMI-CHANG Fire Detection
53ivsIVS
54itx-aiITX AI
55antkrEntry
56wisenet-bestshotWisenet BestShot
57ptz_presetPTZ Preset
58nexreal-aiNexreal AI
59onvif-vaOnvif VA
60truen-aiTruen AI
61emda-aiEMSTONE_D AI
62parkingParking
63intellivix-aiIntelliVIX AI
64posco-aiPOSCO AI
65elsworks-aiHI&TECH AI
66criticalCritical Event
67dongbangDongbang Fire Detection
68ycx-aiYCX AI
69critical-systemCritical System Event
70micro-aiMICROSYSTEM AI
71avyconAVYCON
72tiandy-aiTIANDY AI
73kmt-radarKMT Radar
74chajaChaja
75neotech-aiNEOTECH AI
76hikvision-aiHIKVISION AI
77nextkNextK
78itx_bridgeItxBridge
79mgictMgict
80force_recordingForceRecording
81hatsalHatsal
82hwasungHwasung
83rex_vaRex VA
84aibisAIBIS
85emstone-aiEMSTONE AI
86antkr-aiAntKR AI
87daomDAOM
88tootoo-aiTooToo AI
89bestdigital-aiBestDigital AI
90empd-aiEMSTONE_P AI
91crbCranberry
92arslooperArslooper
93neosecuNEOSECU
94univiewUniview AI