Make your device aware of the people around it

People entering / leaving the scene? Age and gender of surrounding people? Emotions of surrounding people? Who are the people around? Where people are looking at? Are people talking around?

Send your first requests to angus.ai API in 5 minutes…

I agree to the terms of use .

You send a video stream, you get back structured data, in real time!

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Our API is made of several services…

Preview

Face Detection

Tracks human faces in a video stream

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Smart

Gaze Estimation

Tracks heads orientation and eyes gazing in a video stream

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Smart

Face Recognition

Identifies specific people in a video stream

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Time-Machine

Face Expression Estimation

Tracks human facial emotions (suprise, anger, etc…) in a video stream

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Preview

Age and Gender estimation

Tracks age and gender of the people seen in a video stream

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Preview

Voice Activity Detector

Detects if a human is heard in an audio stream

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Pricing

Starter

Access all APIs

Unlimited number of devices

Sandbox – performance drops can occur

0€

Hosted

Access all APIs

Unlimited number of devices

handle as many request/day as needed

from 9€ / month

On premise

Access all APIs

Unlimited number of devices

Docker image (x86 64bits)

90€ / core / month

Get started in 3 steps…

1. Get your credentials, 2. Install our SDK, 3. Copy/paste 5 lines of codes
Make a request
import angus
conn = angus.connect()
service = conn.services.get_service( 'age_and_gender_estimation' )
job = service.process({'image': open("path/to/your/image.png")})
print job.result
Get a response
{
  "input_size" : [480, 640],
  "nb_faces" : 1,
  "faces" : [
              {
                "roi" : [345, 223, 34, 54],
                "roi_confidence" : 0.89,
                "age" : 32,
                "age_confidence" :0.87,
                "gender" : "male",
                "gender_confidence" : 0.95
              }
            ]
}

Sign up to get your credentials and follow the step by step python tutorial here.

Make a request
import ai.angus.sdk.*;

Configuration conf = new ConfigurationImpl();
Root root = conf.connect();
Service service = root.getServices().getService( "age_and_gender_estimation", 1 );

JSONObject params = new JSONObject();
params.put("image", new File("path/to/your/image.png"));
Job job = service.process(params);

System.out.println(job.getResult().toJSONString());
Get a response
{
  "input_size" : [480, 640],
  "nb_faces" : 1,
  "faces" : [
              {
                "roi" : [345, 223, 34, 54],
                "roi_confidence" : 0.89,
                "age" : 32,
                "age_confidence" :0.87,
                "gender" : "male",
                "gender_confidence" : 0.95
              }
            ]
}

Sign up to get your credentials and follow the step by step java tutorial here.

Make a request
curl -u your_client_id:your_access_token \
-F "attachment://bar=@path/to/your/image.jpg ; type=image/jpg" \
-F 'meta={"async" : false, "image": "attachment://bar"} ; type=application/json' \
https://gate.angus.ai/services/age_and_gender_estimation/1/jobs
Get a response
{
"url": "https://gate.angus.ai/services/age_and_gender_estimation/1/jobs/1944556c-baf8-11e5-85c3-0242ac110001",
"status": 201,
"input_size" : [480, 640],
"nb_faces" : 1,
"faces" : [{"roi" : [345, 223, 34, 54], "roi_confidence" : 0.89, "age" : 32, "age_confidence" :0.87, "gender" : "male", "gender_confidence" : 0.95}]
}

Sign up to get your credentials and see our Restful API reference here.

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