Swift Health Insights For Remote Assessments in 30secs.

Arya's health vitals monitoring technology with AI from a face scan is an innovative approach to tracking and assessing your health and well-being by using artificial intelligence and computer vision to analyse the facial features and expressions.Along with physical health vitals, the technology also helps monitor emotional cues, helping to understand and manage stress and mood. With a quick 30 second scan, get a complete overview of your current physical and mental wellness.

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Why Arya {{pageDetails.name}} ?

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An AI Platform that you've
always wanted
With more than 80+ AI Apps, we stand out as the go-to-platform for developers, consistently delivering unparalleled success rates in driving critical decisions.
200 M+

Annual API Volume

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Accuracy Rate

720 K

Daily API Volume

< < 5 Mins

Time to launch

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& integrate

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Empower your well-being with
a simple yet profound act.

Check your vitals now

Place your face in the given outline and click Start

Please do not make any sudden moves while in progress

  Start Recording   Rec

{{resizingDivStyle.width|pureint}}%
Health Vitals Report
Download PDF
Age
(years)
{{output.extracted_data['age'] || '-'}}
The patient is within the age range of {{report["age_group"]}}
Heart Rate
(beats per minute)
{{output.extracted_data['heart_rate'] || '-'}}
{{report["vital_signs"]["heart_rate"]["analysis"]}}
Blood Pressure
(mmHg)
{{output.extracted_data['blood_pressure'] || '-'}}
{{report["vital_signs"]["blood_pressure"]["analysis"]}}
Heart Rate
Variability
{{output.extracted_data['heart_rate_variability'] || '-'}}
{{report["vital_signs"]["heart_rate_variability"]["analysis"]}}
SpO2
(%)
{{output.extracted_data['spo2'] || '-'}}
{{report["vital_signs"]["spo2"]["analysis"]}}
Respiration Rate
(breaths per minute)
{{output.extracted_data['respiration_rate'] || '-'}}
{{report["vital_signs"]["respiration_rate"]["analysis"]}}
Stress Analysis
No
Yes
{{report["stress_analysis"]["analysis"]}}

Documentation

HTTP Method: Post
Endpoint
{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}
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API Token
{{tokenDisplay}}
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API Token UAT
postman wrapper button
{{tokenUDisplay}}
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Usage and Code Samples

curl --location --request POST '{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}' \
--header 'token: < your private token >' \
--header 'content-type: application/json' \
--data-raw '{
		"doc_type":'image',
		"doc_base64": '< base64 string of document >',
		"req_id": '< string >'
	     }'
OkHttpClient client = new OkHttpClient().newBuilder().build();
MediaType mediaType = MediaType.parse("application/javascript");
RequestBody body = RequestBody.create(mediaType, "{ "doc_type":'image', "doc_base64": '< base64 string of document >',"req_id": '< string >'  }");
Request request = new Request.Builder()
	.url("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}")
	.method("POST", body)
	.addHeader("token", "< your private token >")
	.addHeader("content-type", "application/json")
	.build();
Response response = client.newCall(request).execute();
require "uri"
require "net/http"
url = URI("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}")
https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true
request = Net::HTTP::Post.new(url)
request["token"] = "< your private token >"
request["content-type"] = "application/json"
request.body = "{"doc_type":'image', "doc_base64": '< base64 string of document >',"req_id": < string >  }"
response = https.request(request)
puts response.read_body
CURL *curl;
CURLcode res;
curl = curl_easy_init();
if(curl) {
  curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
  curl_easy_setopt(curl, CURLOPT_URL, "{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}");
  curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
  curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
  struct curl_slist *headers = NULL;
  headers = curl_slist_append(headers, "token: < your private token >");
  headers = curl_slist_append(headers, "content-type: application/json");
  curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
  const char *data = "{"doc_type":'image', "doc_base64": '< base64 string of document >',"req_id": < string >  }";
  curl_easy_setopt(curl, CURLOPT_POSTFIELDS, data);
  res = curl_easy_perform(curl);
}
curl_easy_cleanup(curl);
var request = require('request');
var options = {
  'method': 'POST',
  'url': '{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}',
  'headers': {
  'token': '< your private token >',
  'content-type':'application/json'
},
body: '{"doc_type":"image", "doc_base64": "< base64 string of document >","req_id": < string >  }'
};
request(options, function (error, response) {
if (error) throw new Error(error);
  console.log(response.body);
});
var client = new RestClient("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}");
ṣclient.Timeout = -1;
var request = new RestRequest(Method.POST);
request.AddHeader("token", "< your private token >");
request.AddHeader("content-type", "application/json");
var body = @"{" + "" +
@"    "doc_type": 'image'," + "" +
@"    "doc_base64": '< base64 string of document >'," + "" +
@"    "req_id": < string >" + "" +
@"  }";
request.AddParameter("application/json", body,  ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
php
require_once 'HTTP/Request2.php';
$request = new HTTP_Request2();
$request->setUrl('{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}');
$request->setMethod(HTTP_Request2::METHOD_POST);
$request->setConfig(array(
'follow_redirects' => TRUE
));
$request->setHeader(array(
  'token' => '< your private token >',
  'content-type' => 'application/json'
));
$request->setBody('{"doc_type":"image", "doc_base64": "< base64 string of document >","req_id": < string >  }');
try {
  $response = $request->send();
  if ($response->getStatus() == 200) {
  echo $response->getBody();
  }
  else {
  echo 'Unexpected HTTP status: ' . $response->getStatus() . ' ' .
  $response->getReasonPhrase();
  }
}
catch(HTTP_Request2_Exception $e) {
  echo 'Error: ' . $e->getMessage();
}
?>
import requests
url = "{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}"
payload = {"doc_type":"image", "doc_base64": "< base64 string of document >", "req_id": < string >  }
headers = {
  'token': '< your private token >',
  'content-type':'application/json'
}
response = requests.request("POST", url, json=payload, headers=headers)
print(response.text)

Request Parameters

Header parameters
Name Description
token String
Body parameters
Name Description
body {
  "doc_type" : < string>,
  "req_id" : < string>,
  "doc_base64": < base64 video>
}

Response Parameters

Status: 200 - API Request Successful
Body parameters
Name Description
body {
  "req_id" : < string>,
  "success" : < boolean>,
  "doc_type": < string>
  "error_message" : < string>,
  "extracted_data" : [ { age: < string> ,blood_pressure :< string>, heart_rate: < string>, heart_rate_variability: < string>, is_stressed :< string>, respiration_rate: < string> , spo2: < string> }],
  
}

Field Details

Request Field Details
Fields Values/Description
req_id Unique request ID used for processing requests
doc_base64 Base64 encoded string of the document
doc_type "image"
Response Field Details
Fields Values/Description
req_id Corresponding request id
doc_type Type of document uploaded
error_message If success is False then: Error message
success Flag if the request is processed successfully
extracted_data Extracted text data