Third-party softwares may use the DISPL technology to integrate it's groundbreaking face metrics detection into their processes. The other way around is also possible: to integrate third-party softwares information into DISPL for the end-user convenience.
 

Integrating DISPL's Live Face Metrics Into Third-Party Softwares

With a device running DISPL Player, you may send an API call to get the current visitor's facial metrics and parameters.

In this example I'll use the Insomnia API software as a way to collect my face parameters.

First, in DISPL Player, enable the WebServer.

With DISPL Player open, running in Playback mode, send a GET method for the link http://localhost:55080/v1/recognition.

It returns the following results, according to the face in front of the camera:

{ "source": { "width": 1280, "height": 720 }, "recognition_time_rfc3339": "2025-11-26T23:42:36.634-03:00", "faces": [ { "bounding_box": [ 501, 209, 291, 391 ], "mask": "no", "face_quality": 0.40554818511009216, "track_start_timestamp": 1764200513948, "yaw": 3.845679521560669, "hair_type": "high_temple", "age": 29, "track_start_time_rfc3339": "2025-11-26T23:41:55.036-03:00", "headwear": "no", "smile": "smiling", "age_variation": 3, "track_id": 4, "facial_hair": "beard", "pitch": -3.0512750148773193, "glasses": "usual", "visitor_id": 1, "expression": "neutral", "hair_color": "black", "gender": "male" } ], "recognition_timestamp": 1764200555546 }

This data is thus available for use for a third-party software.