Face verification technology is becoming increasingly important for automating processes and occupations across a wide range of sectors. Face Verification APIs can validate a person’s identification quickly and correctly, eliminating the need for time-consuming and error-prone human verification methods.
There are several benefits to utilizing Face Verification APIs for automation. In the banking industry, for example, automated identity verification may speed up client onboarding by making it simpler for new customers to create accounts or apply for loans. Automating patient identification verification in healthcare can assist avoid medical identity theft and enhance patient safety.
The use of Face Verification APIs to automate identity verification may improve security, particularly in areas such as border control and access management. Security personnel may swiftly check the identity of persons using facial recognition technology, lowering the danger of unwanted access.
Increased productivity is another significant advantage of utilizing facial verification APIs for automation. Businesses may free up staff time to focus on more value-added duties by automating manual verification operations, enhancing overall productivity.
Overall, these are important applications for a technology that can automate processes and activities in a variety of sectors. The advantages of employing this technology for automation include improved accuracy, security, and efficiency, making it an important component of many company processes.
What Are The First Steps In Putting A Face Verification API In Place?
The first step in using a face verification API is to find a provider who offers the service and to create an account. Once you have an account, you must integrate the API into your system by following the provider’s documentation.
You must also supply a database of known pictures for the API to compare. In this example, we’ll use the Face Comparison Validator API from ZylaLabs API Hub. This API was evaluated and found to be a viable option for displaying an API call when comparing two photos.
The API receives two photographs from the URL in this situation, and the AI handles the rest. The obvious outcome is as follows:
This item will respond to whether “the two faces belong to different people” or “the two faces belong to the same person” (in the case of a face match) as follows:
{
“statusCode”: 200,
“statusMessage”: “OK”,
“hasError”: false,
“data”: {
“resultIndex”: 0,
“resultMessage”: “The two faces belong to the same person. “,
“similarPercent”: 0.9042724605108994
},
“imageSpecs”: [
{
“leftTop”: {
“isEmpty”: false,
“x”: 718,
“y”: 195
},
“rightTop”: {
“isEmpty”: false,
“x”: 356,
“y”: 176
},
“rightBottom”: {
“isEmpty”: false,
“x”: 337,
“y”: 538
},
“leftBottom”: {
“isEmpty”: false,
“x”: 699,
“y”: 557
}
},
{
“leftTop”: {
“isEmpty”: false,
“x”: 859,
“y”: 160
},
“rightTop”: {
“isEmpty”: false,
“x”: 511,
“y”: 111
},
“rightBottom”: {
“isEmpty”: false,
“x”: 462,
“y”: 459
},
“leftBottom”: {
“isEmpty”: false,
“x”: 810,
“y”: 508
}
}
]
}
You must first complete the following steps before you may utilize it:
1- Navigate to Face Comparison Validator API and click “START FREE TRIAL” to begin using the API.
2- After registering with Zyla API Hub, you will receive your API key.
3- This endpoint will accept the picture URL and provide the comparison results. You’ll know whether the two images are of the same individual.
4- After you’ve located the necessary endpoint, run the API call by clicking the “run” button and viewing the results on your screen. Isn’t that the end of it?
After you’ve integrated and configured the API, you can use it to quickly automate identity verification procedures in your workflows.
Related Post: The Benefits Of Integrating Face Verification With APIs