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.

Event Search

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

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)
• hongseok_ai_type: (default: 0)
• hongseok_ai_direction : (default: 0)
• hongseok_ai_object : (default: 0)
• hongseok_ai_gender : (default: 0)
• hongseok_ai_age : (default: 0)
• hongseok_ai_top_color : (default: 0)
• hongseok_ai_bottom_color : (default: 0)
• hongseok_ai_bag : (default: 0)
• hongseok_ai_glasses : (default: 0)
• hongseok_ai_hat : (default: 0)
• hongseok_ai_vehicle : (default: 0)
• empd_type: (default: 0)
• empd_sensor: (default: 0)
• pharos_ai_type: (default: 0)
• edgeflow_ai_type: (default: 0)
• edgeflow_ai_roi_name: (default: NULL)
• edgeflow_ai_roi_type: (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 specified 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

  Value	Description
  1	Scream
  2	Gunshot
  3	Explosion
  4	Glass 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

  Value	Description
  1	Unknown
  2	Person
  3	Face
  4	Vehicle
  5	LicensePlate

• vehicle: Vehicle type (optional)

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

• color: Object first color (optional)

• color2: Object second color (optional)

• second_color: Person bottoms first color (optional)

• second_color2: Person bottoms second color (optional)

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

• gender: Gender type (optional)

  Value	Description
  1	Unknown
  2	Male
  3	Female

• age: Age type (optional)

  Value	Description
  1	Unknown
  2	Young
  3	Adult
  4	Middle
  5	Senior

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

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

  Value	Description
  1	Worn
  2	Not Worn

• bag: Bag type (optional)

  Value	Description
  1	Unknown
  2	Bag
  3	Backpack
  4	Handbag
  5	Shoulder bag
  6	Cross 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 specified 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

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

• place: Event place (optional)

• count: Event count (optional)

Note that both file_type and file_data must be specified 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 specified 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

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

• rule: Event rule name (optional)

• object: Object type (optional)

  Value	Description
  1	Human
  2	Bicycle
  3	Car

• count: Event count (optional)

• crowd_level: Crowd counting Event level (optional)

  Value	Description
  1	Good
  2	Normal
  3	Caution
  4	Danger

Note that both file_type and file_data must be specified 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

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

• object: Object type (optional)

  Value	Description
  1	Car
  2	Bike
  3	Person

• count: Event count (optional)

• memo: Etc message (optional)

Note that both file_type and file_data must be specified 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

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

• object: Object type (optional)

  Value	Description
  1	Car
  2	Motorcycle
  3	Person
  4	Bag
  5	Bicycle
  6	Boat
  7	Forklift
  8	Truck
  9	Van
  10	Bus

• up_color: Top color, Object color (optional)

• down_color: Bottom color (optional)

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

• speed: Speed in Km (optional)

• count: Ai count (optional)

• name: Zone name (optional)

Note that both file_type and file_data must be specified 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

  Value	Description
  1	Train Approach

• popup_time: Event pop-up duration

  Value	Description
  0	Maintain pop-up state (no timeout)
  1~255	Timeout 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

  Value	Description
  1	Face Recognition
  2	Door Open
  3	Door Close
  4	Call

• name: Enrollment user name (optional)

Note that both file_type and file_data must be specified 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

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

• object: Object type (optional)

  Value	Description
  1	Person
  2	Vehicle
  3	NonMotor
  4	Face

• up_color: Top color, Object color (optional)

• down_color: Bottom color (optional)

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

• count_in: AI In count (optional)

• count_out: AI Out count (optional)

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

Hongseok AI

{
  "type": 95,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "hongseok_ai": {
    "type": 1,
    "direction": 1,
    "object": 1,
    "gender" : 2,
    "age": 2,
    "top_color": 4,
    "bottom_color": 3,
    "bag" : 1,
    "glasses": 2,
    "hat": 1,
    "vehicle": 1
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

• type: Event type

  Value	Description
  1	Stationary
  2	Loitering
  3	Line Cross
  4	Intrusion
  5	Stand
  6	Sit
  7	Kick
  8	Punch
  9	Fall
  10	Violence
  11	Fire
  12	Best Shot

• direction: Event Direction (optional)

  Value	Description
  1	Left
  2	Right

• object: Event Object (optional)

  Value	Description
  1	Person
  2	Vehicle
  3	Bike

• gender: Gender type (optional)

  Value	Description
  1	Male
  2	Female

• age: Age type (optional)

  Value	Description
  1	0 ~ 12
  2	13 ~ 64
  3	65 ~

• top_color: Top color, Object color (optional)

• bottom_color: Bottom color (optional)

  Value	Description
  1	Black
  2	Blue
  3	Brown
  4	Green
  5	Gray
  6	Orange
  7	Pink
  8	Purple
  9	Red
  10	White
  11	Yellow

• bag: Bag Worn status (optional)

• glasses: Glasses Worn status (optional)

• hat: Hat Worn statuse (optional)

  Value	Description
  1	Worn
  2	Not Worn

• vehicle: Vehicle type (optional)

  Value	Description
  1	Passenger Car
  2	Taxi
  3	Bus
  4	Truck

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

EMSTONE_P

{
  "type": 96,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "empd": {
    "type": 1,
    "sensor": 1,
    "value": 111
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

• type: Event type

  Value	Description
  1	Multi-Sensor

• Sensor: Sensor type

  Value	Description
  1	Temperature
  2	Ultrasonic
  3	Gas

• value: Sensor Value

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

Pharos AI

{
  "type": 97,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "pharos_ai": {
    "type": 1,
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

• type: Event type

  Value	Description
  1	Intrusion
  2	Appear
  3	Loiter

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

EdgeFlow AI

{
  "type": 98,
  "devices": [ 0 ], // or "source_address": "192.168.0.31"
  "edgeflow_ai": {
    "type": 1,
    "roi_name": "ROI",
    "roi_type": 1,
    "direction": 1,
    "entered_count": 1,
    "exited_count": 1,
    "object_count": 1,
    "stay_time": 1.0
  },
  "file_type": "image/jpeg",
  "file_data": "..."
}

• type: Event type

  Value	Description
  1	AllDetect
  2	Loitering
  3	Intrusion
  4	Falldown
  5	Violence

• roi_name: ROI name

• roi_type: ROI type

  Value	Description
  1	Polygon
  2	MultiPolygon
  3	Rect
  4	Line
  5	MultiLine
  6	All
  7	Complex

• direction: Direction

  Value	Description
  1	LeftTop
  2	Top
  3	RightTop
  4	Right
  5	RightBottom
  6	Bottom
  7	LeftBottom
  8	Left

• entered_count: Entered count

• exited_count: Exited count

• object_count: Object count

• stay_time: Stay time

Note that both file_type and file_data must be specified 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